Every change Wellknown observed on this MCP server, newest first, with what it was before and what it became. Tool-surface changes carry the definition diff. Nothing here is edited after the fact.
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Added "company_register_search" and "prediction_calibration"; changed the definition of "ask_pipeworx", "ask_pipeworx_beta", "ask_pipeworx_grounded" and 8 more (59 tools before, 61 now)
⟨43 unchanged words⟩ Routes the question to the right one of67,693098 tools across17611869 verified sources, fills arguments, returns the structured ⟨135 unchanged words⟩ routes to live news + the *-news-feeds packs. Optionally pass packs:["slug","slug"] to restrict routing to specific sources ("answer this using THESE packs"); omit it for full-catalog routing.
⟨38 unchanged words⟩ for question.","type":"string"},"packs":{"description":"OPTIONAL. Restrict routing to these pack slugs (e.g. [\"sec-form-d\",\"sec-13f\"]) — the router then picks only from tools in those packs. Omit for the default full-catalog routing. Slugs come from list_packs / search_packs / https://pipeworx.io/directory; unlisted or unknown slugs are ignored and named in _meta.pack_scope.ignored, and if none of them resolves the question is routed across the whole catalog with _meta.pack_scope.full_catalog:true (never an empty answer).","items":{"type":"string"},"type":"array"},"prompt":{"description":"Alias for question.", ⟨48 unchanged words⟩
Beta version of ask_pipeworx: identical universal router (same67,693098 tools, same arguments, same response shape) ⟨68 unchanged words⟩
⟨27 unchanged words⟩ for question.","type":"string"},"packs":{"description":"OPTIONAL. Restrict routing to these pack slugs (e.g. [\"sec-form-d\",\"sec-13f\"]) — the router then picks only from tools in those packs. Omit for the default full-catalog routing. Slugs come from list_packs / search_packs / https://pipeworx.io/directory; unlisted or unknown slugs are ignored and named in _meta.pack_scope.ignored, and if none of them resolves the question is routed across the whole catalog with _meta.pack_scope.full_catalog:true (never an empty answer).","items":{"type":"string"},"type":"array"},"prompt":{"description":"Alias for question.", ⟨48 unchanged words⟩
⟨8 unchanged words⟩ as ask_pipeworx — picks the right tool from67,693098 across17611869 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩
⟨26 unchanged words⟩ for question.","type":"string"},"prefer_tool":{"description":"Run this exact tool instead of letting the router choose — use a name from a previous answer's alternatives[]. Arguments are still filled from your question. Unknown names are refused, never guessed.","type":"string"},"prompt":{"description":"Alias for question.", ⟨46 unchanged words⟩
⟨175 unchanged words⟩ FY2026 and Apple's ending 2025-09-27 is FY2025. Attributesin v1: revenue, net_income,cash.cash, gross_profit, operating_income, eps_diluted, capex, operating_cash_flow, long_term_debt, shares_outstanding (the dei COVER-PAGE share count, so its period end is the cover date, after the quarter closed — that is the most current count the filing carries). Units are not all USD: shares_outstanding is in `shares` with currency null, eps_diluted in `USD/shares`. A discrete quarter the filer never filed — every Q4, and Q2/Q3 of cash-flow lines, which are filed year-to-date — is DERIVED as YTD(q) minus YTD(q-1) and comes back with `reported: false`, the subtraction named in `derivation` (fy_minus_9m / ytd_9m_minus_6m / ytd_6m_minus_3m) and both legs with their filings in `derived_from`; test `reported` if you will only accept a figure lifted from a filing. Per-share and balance-sheet figures are NEVER derived. Every non-answer is a named status — `unavailable` ⟨63 unchanged words⟩ no accession behind it). Source: SEC EDGAR, XBRLcompanyconceptfinancial facts, one publisher read once — see `corroboration`. ⟨11 unchanged words⟩
⟨6 unchanged words⟩ Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's17611869 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ , routes each to the right one of67,693098 tools IN PARALLEL, and returns a findings ⟨216 unchanged words⟩
⟨104 unchanged words⟩ //edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATESTthe10-KlatestRevenuesANNUAL+Revenues, NetIncomeLoss+, Cash,sorteddiluted EPS, capex and operating cash flow, each with its period_end,DESCSEC form and the accession of the filing it came from — plus EntityCommonStockSharesOutstanding, which is the newest COVER-PAGE share count the filer has published rather than an annual one, so its period_end is a cover date after the quarter closed and it is the right per-share denominator; a filer tagging a fallback concept appears under the name of that tag instead, e.g. PaymentsToAcquireProductiveAssets instead of PaymentsToAcquirePropertyPlantAndEquipment); patents (USPTO PatentsView API sunset May ⟨192 unchanged words⟩
Realizable-vs-theoretical edge check against live CLOB order-bookdepth.depth — AND Polymarket's own taker fee, which is never zero and is folded in rather than left for you to add (fleet #3446: r/PredictionsMarkets flagged a "clean" fill that quietly omitted it as optimistic in the direction that loses money). REQUIRES one of `market` (single-market mode) or ⟨33 unchanged words⟩ top_of_book, vwap_fill_price, slippage_pp, shares_filled, max_fillable_usd,andverdict (clean|degraded|cannot_fill), fee_schedule ({category, taker_rate, exponent, maker_rebate_rate, fees_enabled, basis} — read off THIS market, never assumed free), fee_usd/fee_pp at the actual VWAP fill, breakeven_win_rate_taker (the win probability your side needs just to cover price + fee — ~51.8% on averdict50c crypto taker fill, not 50%), breakeven_win_rate_maker (clean|degraded|cannot_fillno fee charged to makers — any rebate is in fee_schedule.maker_rebate_rate)., and all_in_cost_pp = slippage_pp + fee_pp. BASKET: pass an event slug/URL + side ( ⟨36 unchanged words⟩ (top-of-book vs VWAP across all legs), capture_ratio
Extract the settlement clause of a single Polymarket (.com or .us) or Kalshi market: who publishes the settling number (source), the clock time + timezone it is taken at (falling back to the market TITLE when the clause itself says "the time range specified in the title" — e.g. Polymarket's 15-minute Chainlink TWAP family), the precision of the computation (e.g. "1-minute candle close" vs "60-second trailing average" vs "twap_60s_lookback"/"twap_30s_lookback" vs "election outcome"), comparison_basis — what is compared to what (end_average_vs_start_average | close_vs_open; orthogonal to precision, since venues can share this comparison shape while computing each endpoint differently), the evidence standard (official_source | consensus_reporting | any_credible_report ⟨15 unchanged words⟩ . Parses Polymarket's `description` field (fetched via polymarket_market, or via polymarket_us_search for the .us venue) or Kalshi's `rules_primary` + `rules_secondary` fields (fetched ⟨21 unchanged words⟩ a guess. Pass `market` as a Polymarket slug/URL (either venue) or a Kalshi market ticker (e.g. "KXBTCD-26SEP1317-T66999.99" ⟨44 unchanged words⟩ that look alike can settle on different sources (Polymarket.com's Chainlink TWAP stream vs Kalshi/Polymarket US's CF Benchmarks BRTI), at different times, or with a different
⟨10 unchanged words⟩ of `a` and `b`; either can be Polymarket .com, Polymarket US, or Kalshi) — runs resolution_audit on both sides and compares source, settle time, precision, comparison_basis, and evidence standard. Returns `equivalent`: "true" only ⟨52 unchanged words⟩ at 5pm EDT — SAME asset, DIFFERENTcontractcontract; or ["source","precision"] for Polymarket.com's Chainlink 15-minute TWAP clause (precision "twap_60s_lookback") against Kalshi's 15-minute KXBTC15M clause (precision "60-second trailing average" off CF Benchmarks' BRTI) — different source and a different lookback mechanism, even though BOTH compare an end-of-window average to a start-of-window average, so comparison_basis is EQUAL there and correctly NOT in differing_fields — verified live 2026-10-22, fleet #3447); "unclear" when one or both sides ⟨14 unchanged words⟩ — read raw_clause yourself in that case). comparison_basis is flagged as differing whenever both sides resolved one and they disagree, independent of whether source/precision also matched. Only flagsa fieldsource/evidence_standard as differing when BOTH sides gave a SPECIFIC ⟨66 unchanged words⟩
⟨3 unchanged words⟩ "value":"AAPL"}],"properties":{"country":{"description":"OPTIONAL ISO 3166-1 alpha-2 of the country whose business register you mean (\"NO\", \"FI\", \"JP\", \"GB\", \"FR\", \"EE\", \"BR\"). Narrows the national-register fan-out and is often the difference between the right company and a US namesake — \"Apple\" with country \"NO\" is a Norwegian company, not Apple Inc. Omitting it searches every register we can name, which is the right default when you do not know. company only; ignored for drug.","type":"string"},"type":{"description":"Entity type: \" ⟨87 unchanged words⟩
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{"properties":{"brand":{"type":"string"},"candidates":{"description":"Rivals, best first. Populated on \"ambiguous\" and on \"matched\" alike.","items":{"properties":{"country":{"description":"ISO-2 of the REGISTER, not of the company's operations.","type":"string"},"data_as_of":{"description":"That register's own snapshot date, per row, so a stale country is visible.","type":["string","null"]},"detail_tool":{"description":"The live pack tool that returns the full record, e.g. \"brreg-no:get_entity\".","type":["string","null"]},"legal_form":{"type":["string","null"]},"legal_name":{"type":"string"},"lei":{"description":"From the GLEIF crosswalk when present. Never guessed from a name.","type":["string","null"]},"match_type":{"enum":["id","exact","exact_form","prefix","tokens"],"type":"string"},"matched_kind":{"enum":["legal","trading","former","english","kana"],"type":"string"},"matched_name":{"description":"The name row that matched, exactly as the publisher spells it.","type":"string"},"register":{"description":"Publisher + dataset, e.g. \"Brønnøysund Register Centre, Enhetsregisteret\". Never a URL or filename.","type":"string"},"register_id":{"description":"The native id in the register's own canonical formatting.","type":"string"},"register_key":{"description":"Stable machine slug for the register.","type":"string"},"registration_status":{"description":"GLEIF rows only: the LEI RECORD's lifecycle (ISSUED/LAPSED/RETIRED/...). A DIFFERENT fact from `status` — a lapsed LEI is unmaintained reference data about a company that may well still trade.","type":["string","null"]},"score":{"description":"0-1, assigned centrally. An adapter never grades itself.","type":"number"},"status":{"description":"The COMPANY's status.","enum":["active","inactive","dissolved","unknown"],"type":"string"},"status_raw":{"description":"The register's own status word, verbatim and unglossed.","type":["string","null"]}},"required":["country","register","register_key","register_id","legal_name","score","status"],"type":"object"},"type":"array"},"cik_withheld":{"description":"A CIK that came back from a FUZZY SEC name match and is NOT asserted, because the spine matched a stronger non-US candidate. The number is here so a caller who wanted the US filer can still use it; what changed is that we no longer claim it IS the answer. See `unresolved.cik` for the reason.","type":"string"},"fanout_incomplete":{"description":"Present IFF at least one register in `searched[]` carried an `error` — set even when `match_status` stayed \"ambiguous\". `withheld_match` is the candidate this call declined to ASSERT because a register was missing, carried rather than discarded so a caller who accepts the caveat can still use it.","properties":{"unavailable":{"items":{"properties":{"country":{"type":"string"},"error":{"type":"string"},"register":{"type":"string"},"register_key":{"type":"string"}},"type":"object"},"type":"array"},"withheld_match":{"type":["object","null"]}},"type":"object"},"figi_withheld":{"description":"A FIGI that matched this name in OpenFIGI (`figi_match: \"name_search\"`) and is NOT asserted, because `match_status` is \"incomplete\": a name search cannot tell a company apart from a security carrying its name, and the registers that would have settled it are the ones we could not ask. A `ticker_map` FIGI is never withheld this way — it is corroborated by the resolved ticker it came from. Carried so a caller who accepts the caveat can use it; see `unresolved.figi`, and retry, since a transiently rate-limited register completes on the next call.","type":"string"},"ids":{"description":"Every identifier established: cik, ticker, company_name, lei, figi, isin, cusip, register_id, register_country. A key absent here appears in `unresolved` with a reason — never silently dropped.","type":"object"},"ingredient":{"type":"string"},"match_explanation":{"description":"Plain words. Always present when the spine ran, and required on \"ambiguous\" and \"no_match\".","type":"string"},"match_scoring":{"description":"The margin rule's own inputs, so a caller can see WHY it fell where it did.","properties":{"margin":{"type":["number","null"]},"runner_up":{"type":["number","null"]},"thresholds":{"properties":{"floor":{"type":"number"},"margin":{"type":"number"},"match":{"type":"number"}},"type":"object"},"top":{"type":["number","null"]}},"type":"object"},"match_status":{"description":"The headline to branch on. \"ambiguous\" is an ANSWER, not a failure: two companies matched the name equally well and both are in `candidates`. \"no_match\" means every register in `searched` was asked and none carried it. \"incomplete\" means one of them could NOT be asked (it carries an `error` in `searched[]`), so the candidate set is short by an unknown amount and no id is asserted — distinct from \"ambiguous\" because a RETRY is what resolves it, not a narrower query; `fanout_incomplete` names the unreachable registers and carries, under `withheld_match`, the candidate that would have been returned on a complete fan-out.","enum":["matched","ambiguous","no_match","incomplete"],"type":"string"},"notes":{"type":"string"},"query":{"type":"string"},"registers":{"description":"The matched entity as every register that carries it — the match (flagged `matched: true`) plus anything that collapsed into it. A Companies House number AND the LEI that crosswalks to it are the SAME answer, not rivals.","items":{"properties":{"country":{"description":"ISO-2 of the REGISTER, not of the company's operations.","type":"string"},"data_as_of":{"description":"That register's own snapshot date, per row, so a stale country is visible.","type":["string","null"]},"detail_tool":{"description":"The live pack tool that returns the full record, e.g. \"brreg-no:get_entity\".","type":["string","null"]},"legal_form":{"type":["string","null"]},"legal_name":{"type":"string"},"lei":{"description":"From the GLEIF crosswalk when present. Never guessed from a name.","type":["string","null"]},"match_type":{"enum":["id","exact","exact_form","prefix","tokens"],"type":"string"},"matched_kind":{"enum":["legal","trading","former","english","kana"],"type":"string"},"matched_name":{"description":"The name row that matched, exactly as the publisher spells it.","type":"string"},"register":{"description":"Publisher + dataset, e.g. \"Brønnøysund Register Centre, Enhetsregisteret\". Never a URL or filename.","type":"string"},"register_id":{"description":"The native id in the register's own canonical formatting.","type":"string"},"register_key":{"description":"Stable machine slug for the register.","type":"string"},"registration_status":{"description":"GLEIF rows only: the LEI RECORD's lifecycle (ISSUED/LAPSED/RETIRED/...). A DIFFERENT fact from `status` — a lapsed LEI is unmaintained reference data about a company that may well still trade.","type":["string","null"]},"score":{"description":"0-1, assigned centrally. An adapter never grades itself.","type":"number"},"status":{"description":"The COMPANY's status.","enum":["active","inactive","dissolved","unknown"],"type":"string"},"status_raw":{"description":"The register's own status word, verbatim and unglossed.","type":["string","null"]}},"required":["country","register","register_key","register_id","legal_name","score","status"],"type":"object"},"type":"array"},"related":{"description":"Entities that collapsed INTO the match, each carrying `collapsed_by`.","items":{"properties":{"country":{"description":"ISO-2 of the REGISTER, not of the company's operations.","type":"string"},"data_as_of":{"description":"That register's own snapshot date, per row, so a stale country is visible.","type":["string","null"]},"detail_tool":{"description":"The live pack tool that returns the full record, e.g. \"brreg-no:get_entity\".","type":["string","null"]},"legal_form":{"type":["string","null"]},"legal_name":{"type":"string"},"lei":{"description":"From the GLEIF crosswalk when present. Never guessed from a name.","type":["string","null"]},"match_type":{"enum":["id","exact","exact_form","prefix","tokens"],"type":"string"},"matched_kind":{"enum":["legal","trading","former","english","kana"],"type":"string"},"matched_name":{"description":"The name row that matched, exactly as the publisher spells it.","type":"string"},"register":{"description":"Publisher + dataset, e.g. \"Brønnøysund Register Centre, Enhetsregisteret\". Never a URL or filename.","type":"string"},"register_id":{"description":"The native id in the register's own canonical formatting.","type":"string"},"register_key":{"description":"Stable machine slug for the register.","type":"string"},"registration_status":{"description":"GLEIF rows only: the LEI RECORD's lifecycle (ISSUED/LAPSED/RETIRED/...). A DIFFERENT fact from `status` — a lapsed LEI is unmaintained reference data about a company that may well still trade.","type":["string","null"]},"score":{"description":"0-1, assigned centrally. An adapter never grades itself.","type":"number"},"status":{"description":"The COMPANY's status.","enum":["active","inactive","dissolved","unknown"],"type":"string"},"status_raw":{"description":"The register's own status word, verbatim and unglossed.","type":["string","null"]}},"required":["country","register","register_key","register_id","legal_name","score","status"],"type":"object"},"type":"array"},"resolved":{"description":"At least one identifier was established. Read `match_status` and `unresolved` for WHICH — a company can be resolved in a national register with no CIK at all.","type":"boolean"},"resources":{"type":"object"},"searched":{"description":"EVERY register asked, with its own as-of date and row count. A register that could not be reached carries `error` — 0 rows with an error is \"we could not ask\", 0 rows without one is \"nothing is there\", and they are different answers.","items":{"properties":{"country":{"type":"string"},"data_as_of":{"type":["string","null"]},"error":{"type":"string"},"register":{"type":"string"},"register_key":{"type":"string"},"rows":{"type":"number"}},"required":["register","register_key","country","rows"],"type":"object"},"type":"array"},"sec_alternatives":{"description":"EDGAR's own discarded near-misses on a name match, surfaced instead of dropped.","items":{"properties":{"cik":{"type":"string"},"company_name":{"type":"string"},"ticker":{"type":"string"}},"type":"object"},"type":"array"},"sources":{"description":"Per-identifier provenance. Every key in `ids` has a matching key here.","type":"object"},"type":{"type":"string"},"unresolved":{"description":"Per-identifier reason an id could NOT be established — the honest twin of `ids`.","type":"object"}},"required":["type","query","resolved","ids","sources","unresolved"],"type":"object"}⟨140 unchanged words⟩ params:{state:"CO", name_query?, entity_type?}), "tech_change" (a watched domain's website technology stack adds or drops a technology — params:{domains:["acme.com"], technologies?}). Delivery channels: feed (always on — ⟨29 unchanged words⟩
⟨315 unchanged words⟩ , CO, OR, CT, TX, PA. tech_change: {domains:[\"acme.com\",\"example.org\"], technologies?:[\"Shopify\",\"Segment\"]} — domains required (1-200), technologies optional (exact names, case-insensitive) to narrow which detected technologies alert. Unknown keys inform_d/news_keyword/job_post/tool_diff/new_entityform_d/news_keyword/job_post/tool_diff/new_entity/tech_change params are rejected at subscribe time.","type ⟨12 unchanged words⟩ ","news_keyword","job_post","tool_diff","new_entity","tech_change"],"type":"string"}},"required" ⟨4 unchanged words⟩
Company Register Search — Search the NATIONAL BUSINESS REGISTERS by company name and get the register's own id back — a Companies House number, a Norwegian organisasjonsnummer, a Finnish business id, a SIREN, a Japanese corporate number, an Estonian registry code, a CNPJ, or an LEI. Use this when you want the OFFICIAL REGISTERED ENTITY and the country is not the US, or when you do not know which country it is. Registers searched: Companies House (GB), Enhetsregisteret (NO), PRH/YTJ (FI), Sirene (FR), 法人番号公表サイト (JP), RIK e-Business Register (EE), and the GLEIF LEI crosswalk, which reaches jurisdictions we have no regis…
Prediction Calibration — REALIZED win rate by shown price and minutes elapsed for short-horizon crypto up/down markets, net of taker fee — read from our own settled-outcomes archive, not from live prices. Answers the one question no venue will: "a side shown at 82 with five minutes left, how often did it ACTUALLY win?" Returns a grid of (price bucket x minute elapsed) -> n, realized_win_rate_pp, mean_shown_price_pp, calibration_gap_pp (realized minus shown — zero means the book is calibrated), breakeven_win_rate_pp (the shown price plus the taker fee that was actually in force for that market), and net_edge_pp (reali…
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Added "archive_compare", "archive_evidence", "classify_row" and 1 more; changed the definition of "ask_pipeworx", "ask_pipeworx_beta", "ask_pipeworx_grounded" and 2 more (55 tools before, 59 now)
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨44 unchanged words⟩ the question to the right one of 6,565693 tools across17151761 verified sources, fills arguments, returns the structured ⟨143 unchanged words⟩
Beta version of ask_pipeworx: identical universal router (same 6,565
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Changed the definition of "ask_pipeworx", "ask_pipeworx_beta", "ask_pipeworx_grounded" and 1 more
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨44 unchanged words⟩ the question to the right one of 6,453565 tools across16821715 verified sources, fills arguments, returns the structured ⟨143 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
Beta version of ask_pipeworx: identical universal router (same 6,Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Changed the definition of "ask_pipeworx", "ask_pipeworx_beta", "ask_pipeworx_grounded" and 2 more
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨44 unchanged words⟩ the question to the right one of 6,402453 tools across16741682 verified sources, fills arguments, returns the structured ⟨143 unchanged words⟩
Beta version of ask_pipeworx: identical universal router (same 6,402453
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Changed the definition of "ask_pipeworx", "ask_pipeworx_beta", "ask_pipeworx_grounded" and 4 more
⟨44 unchanged words⟩ the question to the right one of 6,350402 tools across16591674 verified sources, fills arguments, returns the structured ⟨143 unchanged words⟩
⟨17 unchanged words⟩ price of bitcoin"}],"properties":{"ask":{"description":"Alias for question.","type":"string"},"input":{"description":"Alias for question.","type":"string"},"message":{"description":"Alias for question.","type":"string"},"prompt":{"description":"Alias for question.", ⟨25 unchanged words⟩ Accepts query, q, prompt, text, input, ask, message
Authorization not required, issuer https://gateway.pipeworx.io
Changed the definition of "ask_pipeworx", "ask_pipeworx_beta", "ask_pipeworx_grounded" and 1 more
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨44 unchanged words⟩ the question to the right one of 6,332350 tools across16531659 verified sources, fills arguments, returns the structured ⟨143 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
Beta version of ask_pipeworx: identical universal router (same 6,Authorization not required, issuer https://gateway.pipeworx.io
Certificate changed, valid to 2026-12-18
Authorization not required, issuer https://gateway.pipeworx.io
Added "kalshi_candlesticks", "kalshi_event_live_data", "kalshi_game_stats" and 5 more; changed the definition of "ai_visibility_check", "ask_pipeworx", "ask_pipeworx_beta" and 27 more (47 tools before, 55 now)
{"examples":[{"entity":"Tesla"}],"properties":{"_apiKey":{"description":"Optional ⟨97 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨44 unchanged words⟩ the question to the right one of 6,032332 tools across15691653
Certificate changed, valid to 2026-12-17
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Authorization not required, issuer https://gateway.pipeworx.io
Added "company_facts", "kalshi_weather_edge", "release_calendar_markets" and 2 more; changed the definition of "ask_pipeworx", "ask_pipeworx_beta", "ask_pipeworx_grounded" and 3 more (42 tools before, 47 now)
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨43 unchanged words⟩ Routes the question to the right one of56,961032 tools across15521569 verified sources, fills arguments, returns the structured ⟨143 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
Certificate recorded, valid to 2026-10-18
Authorization not required, issuer https://gateway.pipeworx.io
Changed the definition of "ask_pipeworx", "ask_pipeworx_beta", "ask_pipeworx_grounded" and 1 more
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨44 unchanged words⟩ the question to the right one of 5,957961 tools across 1552 verified sources, fills arguments, ⟨146 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
Beta version of ask_pipeworx: identical universal router (same 5,957961
First tool surface recorded: 42 tools (server version 0.1.0)
Showing the latest 42 events. The API returns up to 500 and filters by kind: ?kind=tool_surface_changed
⟨3 unchanged words⟩ "value":"AAPL"}],"properties":{"country":{"description":"OPTIONAL ISO 3166-1 alpha-2 of the business register you mean (\"NO\", \"FI\", \"GB\", \"JP\", \"FR\", \"EE\", \"BR\"). Only affects a NAME lookup, and is often what separates the company you mean from a US namesake. When a name resolves to a register entity with no CIK, the SEC/CIK-keyed sections are reported under `sources_skipped` with reason `not_queried` — they were never asked, which is not the same as having failed.","type":"string"},"type":{"description":"\"company\" or \"ticker\ ⟨37 unchanged words⟩ or company name (e.g., \"Moderna\").—AnamesNAMEresolvenowviaresolves through the national business registers as well as SEC EDGAR,company-namesomatch.a non-US company returns its register identity and record rather than `resolved: false`.","type":"string"}},"required": ⟨4 unchanged words⟩
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{"description":"Realizable fill risk against live order-book depth, plus Polymarket's own taker fee and the breakeven win-rate it implies (fleet #3446).","properties":{"_hint":{"description":"Usage note — what is gross vs net of fees, and what is still unmodeled.","type":"string"},"all_in_cost_pp":{"description":"Single-market mode: slippage_pp + fee_pp — the full round-trip cost of this fill.","type":["number","null"]},"book_levels_visible":{"description":"Single-market mode: count of price levels on the side priced.","type":"number"},"breakeven_win_rate_maker":{"description":"Single-market mode: win-rate a maker (no taker fee charged) would need — equals top_of_book.","type":"number"},"breakeven_win_rate_taker":{"description":"Single-market mode: win-rate (0-1) the filled side needs to break even as a taker, INCLUDING the fee — always worse than the raw fill price.","type":["number","null"]},"capture_ratio":{"description":"Basket mode: fraction of the theoretical edge that survives depth AND fees (fleet #3446 — was gross of fees before).","type":["number","null"]},"capture_ratio_gross":{"description":"Basket mode: the pre-fee figure capture_ratio used to report.","type":["number","null"]},"dead_legs":{"description":"Basket mode: leg slugs with zero visible depth on the priced side.","items":{"type":"string"},"type":"array"},"error":{"description":"Error code (orderbook_unavailable, event_books_unavailable, empty_book, bad_side, missing_input) — present only on failure.","type":"string"},"event":{"description":"Basket mode: resolved event slug.","type":"string"},"fee_pp":{"description":"Single-market mode: the taker fee as a percentage point of a $1 share — size-invariant, so it's the same number at any trade size.","type":"number"},"fee_schedule":{"description":"Polymarket's published taker-fee parameters for this market, read off the market payload (fleet #3446) — never assumed fee-free.","properties":{"basis":{"description":"Where the rate came from — payload (read off this market) is the most trustworthy.","enum":["payload","category","fallback","fee_free"],"type":"string"},"category":{"description":"Polymarket's fee category, e.g. 'crypto_fees_v2'.","type":["string","null"]},"exponent":{"description":"Exponent in fee = shares × rate × (p×(1-p))^exponent — 1 on every market observed.","type":"number"},"fees_enabled":{"description":"false means this market genuinely charges no taker fee.","type":["boolean","null"]},"maker_rebate_rate":{"description":"Polymarket's published maker rebate rate, when known.","type":["number","null"]},"taker_rate":{"description":"Taker-fee rate actually applied (0 means genuinely fee-free, never \"unknown\").","type":"number"}},"type":"object"},"fee_usd":{"description":"Single-market mode: Polymarket taker fee in USD on the shares actually filled.","type":"number"},"forced_directional_risk":{"description":"Basket mode: plain-English risk note naming dead/thin legs.","type":"string"},"leg_count":{"description":"Basket mode: number of legs priced.","type":"number"},"market":{"description":"Single-market mode: resolved market slug.","type":"string"},"max_fillable_usd":{"description":"Single-market mode: total USD value of the entire visible side of the book.","type":"number"},"message":{"description":"Human-readable error detail — present only on failure.","type":"string"},"mode":{"description":"Which mode answered — set by which of market/event was passed.","enum":["single_market","basket"],"type":"string"},"partition_complete":{"description":"Basket mode: false means truncated_legs > 0 — edge figures are directional only.","type":"boolean"},"per_leg":{"description":"Basket mode: per-leg fill detail.","items":{"properties":{"depth_shares":{"type":"number"},"fee_usd":{"description":"This leg's own Polymarket taker fee in USD at the executed size.","type":"number"},"fills_requested_size":{"type":"boolean"},"question":{"type":["string","null"]},"slippage_pp":{"type":["number","null"]},"slug":{"type":["string","null"]},"top_of_book":{"type":["number","null"]},"vwap_at_executed_size":{"type":["number","null"]}},"type":"object"},"type":"array"},"question":{"description":"Single-market mode: the market question.","type":["string","null"]},"realizable_at_executed_size":{"description":"Basket mode: VWAP sum across all legs at the executed size, net of each leg's own Polymarket taker fee (fleet #3446 — profit_usd was gross before).","properties":{"edge_pp":{"type":["number","null"]},"fees_usd_total":{"description":"Sum of per_leg[].fee_usd across every leg.","type":"number"},"note":{"description":"Present only when the basket is not executable at any size.","type":"string"},"profit_usd":{"description":"NET of every leg's own Polymarket taker fee.","type":"number"},"profit_usd_gross":{"description":"Before fees — kept alongside profit_usd so the fee cost is never hidden.","type":"number"},"sum_yes":{"type":["number","null"]}},"type":"object"},"reasoning":{"description":"Plain-English explanation of the verdict, naming the all-in cost and breakeven.","type":"string"},"scaled_down_by_thinnest_leg":{"description":"Basket mode: true if executed size was capped below the requested size.","type":"boolean"},"settlement_notional_executed_usd":{"description":"Basket mode: shares-per-leg actually executable, scaled down by the thinnest leg.","type":"number"},"settlement_notional_requested_usd":{"description":"Basket mode: requested shares-per-leg (the size_usd argument).","type":"number"},"shares_filled":{"description":"Single-market mode: shares actually fillable from visible depth.","type":"number"},"side":{"description":"Single-market mode: the side actually priced (buy_yes|sell_yes|buy_no|sell_no).","type":"string"},"side_auto_selected":{"description":"Basket mode: true if side was inferred from the partition sum rather than passed explicitly.","type":"boolean"},"size_usd_requested":{"description":"Single-market mode: the size_usd argument, clamped.","type":"number"},"slippage_pp":{"description":"Single-market mode: |vwap - top_of_book| in percentage points.","type":["number","null"]},"strategy":{"description":"Basket mode: which side was priced across every leg.","enum":["sell_yes_every_leg","buy_yes_every_leg"],"type":"string"},"theoretical":{"description":"Basket mode: top-of-book sum across all legs, before depth.","properties":{"basis":{"type":"string"},"edge_pp":{"type":"number"},"sum_yes":{"type":"number"}},"type":"object"},"thin_legs":{"description":"Basket mode: leg slugs that cannot cleanly absorb the requested size.","items":{"type":"string"},"type":"array"},"title":{"description":"Basket mode: event title.","type":["string","null"]},"top_of_book":{"description":"Single-market mode: best price on the side priced.","type":"number"},"truncated_legs":{"description":"Basket mode: legs dropped by the 80-leg cap, if any.","type":"number"},"usd_filled":{"description":"Single-market mode: dollars actually fillable from visible depth.","type":"number"},"verdict":{"description":"Single-market mode: fill-quality verdict based on depth/slippage (independent of the fee).","enum":["clean","degraded","cannot_fill"],"type":"string"},"vwap_fill_price":{"description":"Single-market mode: volume-weighted fill price across the requested size; null if nothing filled.","type":["number","null"]}},"type":"object"}⟨9 unchanged words⟩ properties":{"market":{"description":"Polymarket (.com or .us) market slug or URL, OR a Kalshi market ⟨19 unchanged words⟩ ":"Which venue to fetch the market from. \"polymarket\" is the offshore venue (polymarket.com); \"polymarket-us\" is the separate, CFTC-regulated polymarket.us venue, matched by slug via its own search (no exact-slug lookup exists upstream).","enum":["polymarket","kalshi","polymarket-us"],"type":"string"}},"required" ⟨4 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,565693 across17151761 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's17151761 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,565693 tools IN PARALLEL, and returns a findings ⟨216 unchanged words⟩
⟨54 unchanged words⟩ FRED observations — params:{series_id:"UNRATE"}), "patent_grant" (new USPTO grants for an applicant), "clinical_trial" (new/updated ClinicalTrials.gov studies), "form_d" (new SEC Form D fundraise notices — params:{state?, industry?, min_amount?, exemption?}, all optional), "news_keyword" (GDELT keyword news alerts, metadata+link only — params:{query, lang?, domains?}), "job_post" (new public job-board postings — params:{ats?, board_token?} or {domain?}, plus optional title_query/location_query), "tool_diff" (re-runs any read-only tool on a schedule and fires on change — params:{tool, args?, fields[], schedule}), "new_entity" (new business registrations from a state business-entity registry — params:{state:"CO", name_query?, entity_type?}). Delivery channels: feed (always on — ⟨29 unchanged words⟩
⟨183 unchanged words⟩ \"PHASE3\"} (sponsor or condition required). form_d: {state?:\"CA\", industry?:\"Biotechnology\", min_amount?:500000, exemption?:\"06B\"} (all optional — omit all to watch every new Form D nationwide). news_keyword: {query:\"\\\"semiconductor sanctions\\\"\", lang?:\"eng\", domains?:[\"reuters.com\"]} (query required). job_post: EITHER {ats:\"greenhouse\", board_token:\"acme\"} (exact board) OR {domain:\"acme.com\"} (auto-detected), plus optional title_query/location_query substrings. tool_diff: {tool:\"form5500\", args?:{...}, fields:[\"headcount\"], schedule:\"daily\"} — re-runs that tool on schedule and fires when the named fields change; tool must be read-only and not need a Pipeworx-held platform key; schedule \"hourly\" needs the paid tier. new_entity: {state:\"CO\", name_query?:\"dental\", entity_type?:\"limited liability\"} — state is required and must be one of FL, NY, CO, OR, CT, TX, PA. Unknown keys in form_d/news_keyword/job_post/tool_diff/new_entity params are rejected at subscribe time.","type":"object"},"type":{"description" ⟨4 unchanged words⟩ ","polymarket_edge","fred_series","patent_grant","clinical_trial","form_d","news_keyword","job_post","tool_diff","new_entity"],"type":"string"}},"required" ⟨4 unchanged words⟩
Archive Compare — What changed on a web page between two dates? Resolves the archived capture nearest each date (Internet Archive Wayback Machine, Common Crawl, Arquivo.pt), extracts the readable text of both, and returns a text-level diff: the segments removed and added, a similarity score, and both capture timestamps with their gaps from the requested dates. It diffs readable text, not markup, so a restyled page with the same words reads changed:false. Identical captures answer changed:false with the reason (same capture, identical content digest, or identical text), never an empty diff. A date with no captu…
Archive Evidence — What did a web page say on a given date? Finds the archived capture of a URL nearest that date across the Internet Archive Wayback Machine, Common Crawl and Arquivo.pt, reads it, and returns the readable text (HTML stripped) with the capture timestamp, a link to the archived copy, and the GAP between the date asked for and the capture actually used (e.g. "Captured 1.5 day(s) before the requested date"). One call replaces the find-capture, fetch-record, parse-HTML chain. If no archive holds a capture within max_gap_days (default 30) it answers status "no_capture" and names the nearest capture …
Classify Row — Cheap categorization: given a company and a list of candidate labels, decide which labels apply — the most common GTM/AI usage shape (tagging a list by industry, ICP fit, etc.), one small model call. Same evidence contract as research_row: each label comes back {label, applies, evidence_url, quote, status: found|inferred|not_established} — "found" only when the model's quote is independently verified as a verbatim substring of the text used. Pass text directly (cheapest — no fetch) or entity.domain to fetch the homepage once as a fallback. No text and no domain means every label is not_establ…
Research Row — Claygent-style per-row research: answer ONE question about ONE company and return a JSON object matching your output_schema, with every field wrapped in its own evidence — {value, evidence_url, quote, status}. status is NEVER self-reported by the model: "found" means this code independently verified the model's quote is a VERBATIM substring of text actually fetched; "inferred" means a value was given but the quote could not be verified; "not_established" means no source answered the field, and its value is always null — never guessed, never a blended score. Sources: "web" fetches the company'…
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,453565 across16821715 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's16821715 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,453565 tools IN PARALLEL, and returns a findings ⟨216 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,402453 across16741682 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's16741682 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,402453 tools IN PARALLEL, and returns a findings ⟨216 unchanged words⟩
⟨462 unchanged words⟩ (zero releases across every requested category) returnserrorthe SAME shape as a populated one — release_count:0, releases:[] — plus empty_reason:"no_releases_in_window"withand awiden-the-window`hint`hinttellingratheryouthantoanwiden,emptysoarrayyou—nevereconbranch on the response shape and never have to guess whether zero means "nothing is scheduled" or "the lookup failed". Econ releases especially cluster on specific dates each month ⟨9 unchanged words⟩
⟨7 unchanged words⟩ :"string"},"type":"array"},"empty_reason":{"description":"Present ONLY on a zero-release window: \"no_releases_in_window\". The window was queried and nothing is scheduled — this is an answer, not a failure.","type":"string"},"hint":{"description":"Present ONLY on a zero-release window: what to change (usually a wider `hours`).","type":"string"},"notes":{"items":{"type":"string" ⟨117 unchanged words⟩
Beta version of ask_pipeworx: identical universal router (same 6,350402 tools, same arguments, same response shape) ⟨68 unchanged words⟩
⟨6 unchanged words⟩ US unemployment rate?"}],"properties":{"ask":{"description":"Alias for question.","type":"string"},"input":{"description":"Alias for question.","type":"string"},"message":{"description":"Alias for question.","type":"string"},"prompt":{"description":"Alias for question.", ⟨25 unchanged words⟩ Accepts query, q, prompt, text, input, ask, message as aliases.","type":"string"}," ⟨11 unchanged words⟩
⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,350402 across16591674 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩
⟨5 unchanged words⟩ fiscal 2023 revenue?"}],"properties":{"ask":{"description":"Alias for question.","type":"string"},"input":{"description":"Alias for question.","type":"string"},"message":{"description":"Alias for question.","type":"string"},"prompt":{"description":"Alias for question.", ⟨23 unchanged words⟩ Accepts query, q, prompt, text, input, ask, message as aliases.","type":"string"}," ⟨11 unchanged words⟩
⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's16591674 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,350402 tools IN PARALLEL, and returns a findings ⟨216 unchanged words⟩
⟨17 unchanged words⟩ the past year?"}],"properties":{"ask":{"description":"Alias for question.","type":"string"},"depth":{"description":"How many facets to ⟨43 unchanged words⟩ ,"thorough"],"type":"string"},"input":{"description":"Alias for question.","type":"string"},"message":{"description":"Alias for question.","type":"string"},"prompt":{"description":"Alias for question.","type":"string"},"q":{"description":"Alias for question.","type":"string"},"query":{"description":"Alias for question.","type":"string"},"question":{"description":"The research question, in natural language. Broad/multi-part is fine — decomposition is the point. Accepts query, q, prompt, text, input, ask, message as aliases.","type":"string"},"text":{"description":"Alias for question.","type":"string"}},"required": ⟨3 unchanged words⟩
{"examples":[{"key":"user_research_topic"}],"properties":{"k":{"description":"Alias for key.","type":"string"},"key":{"description":"Memory key todeletedelete. Accepts name, k, label as aliases.","type":"string"},"label":{"description":"Alias for key.","type":"string"},"name":{"description":"Alias for key.","type":"string"}},"required": ⟨3 unchanged words⟩
⟨2 unchanged words⟩ :"user_research_topic"},{}],"properties":{"k":{"description":"Alias for key.","type":"string"},"key":{"description":"Memory key to retrieve (omit to list all keys). Accepts name, k, label as aliases.","type":"string"},"label":{"description":"Alias for key.","type":"string"},"name":{"description":"Alias for key.","type":"string"}},"required": ⟨2 unchanged words⟩
⟨3 unchanged words⟩ "value":"AAPL"}],"properties":{"content":{"description":"Alias for value.","type":"string"},"data":{"description":"Alias for value.","type":"string"},"k":{"description":"Alias for key.","type":"string"},"key":{"description":"Memory key (e.g., \"subject_property\", \"target_ticker\", \"user_preference\"). Accepts name, k, label as aliases.","type":"string"},"label":{"description":"Alias for key.","type":"string"},"name":{"description":"Alias for key.","type":"string"},"text":{"description":"Alias for value.","type":"string"},"v":{"description":"Alias for value.","type":"string"},"value":{"description":"Value to store (any text — findings, addresses, preferences, notes). Accepts content, text, data, v as aliases; a non-string value is stored as JSON.","type":"string"}},"required": ⟨4 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,332350 across16531659 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's16531659 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,332350 tools IN PARALLEL, and returns a findings ⟨216 unchanged words⟩
Beta version of ask_pipeworx: identical universal router (same 6,032332 tools, same arguments, same response shape) ⟨68 unchanged words⟩
{"examples":[{"question":"What is the current US unemployment rate?"}],"properties":{"input":{"description":"Alias ⟨55 unchanged words⟩
⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,032332 across15691653 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩
{"examples":[{"question":"What was Apple's fiscal 2023 revenue?"}],"properties":{"input":{"description":"Alias ⟨53 unchanged words⟩
{"examples":[{"attribute":"revenue","company":"AAPL","period":{"fiscal_year":2023,"type":"annual"}}],"properties":{"as_of":{"description":"Past ISO timestamp with timezone. Replay the latest answer actually recorded by that instant; no invented history or live fallback.","type":"string"},"attribute":{"description":"Which figure. \"revenue\ ⟨90 unchanged words⟩ CIK to be certain.","type":"string"},"exclude_publishers":{"description":"Publisher ids forbidden for fact retrieval: sec, fmp, alphavantage. Case and surrounding whitespace are normalized; unknown ids are refused. Excluding sec currently leaves no eligible fact source and returns unavailable/sources_excluded with the selection reasons. Identity and fiscal-calendar lookups may still use SEC; no excluded financial concept is fetched.","items":{"type":"string"},"type":"array"},"freshness":{"description":"cached (default) permits an eligible stored answer; fresh requires an upstream refresh and never silently falls back to stale data.","enum":["cached","fresh"],"type":"string"},"max_age":{"description":"Maximum age in seconds of the upstream publication, not our fetch. Older or undated facts are withheld.","maximum":3155760000,"minimum":0,"type":"number"},"period":{"description":"The reporting ⟨129 unchanged words⟩
{"examples":[{"type":"company","values":["AAPL","MSFT"]}],"properties":{"type":{"description":"Entity ⟨48 unchanged words⟩
⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's15691653 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,032332 tools IN PARALLEL, and returns a findings ⟨216 unchanged words⟩
{"examples":[{"depth":"quick","question":"What is the current US unemployment rate and how has it changed over the past year?"}],"properties":{"depth":{"description":"How ⟨71 unchanged words⟩
⟨213 unchanged words⟩ real "no data", not a bug. `sources_skipped` is the third state: a leg we deliberately did NOT run, each entry carrying a `reason` token and a plain-English `detail` (the Purple Book is skipped for a filer SEC classifies outside the life-science SIC bands, since it lists only 351(a)/(k) biologics licence holders). Pass a ticker ("AAPL"), zero-padded CIK ⟨46 unchanged words⟩
{"examples":[{"type":"company","value":"AAPL"}],"properties":{"type":{"description":"\" ⟨62 unchanged words⟩
{"examples":[{"url":"https://pipeworx.io"}],"properties":{"max_links":{"description":"Maximum ⟨37 unchanged words⟩
⟨29 unchanged words⟩ event title + each market's ticker, subtitle,yes_askprice, volume. Use when you need the full ⟨22 unchanged words⟩ top-of-book for each market (slower but populatesyes_bid/yes_ask/no_bid/no_askyes_ask_cents/yes_bid_cents/no_ask_cents + implied_yes_prob — required for most macro events ⟨5 unchanged words⟩ prices null on the public unauth API). Every price ships TWO ways: `*_cents` rounded to the nearest cent (Kalshi's display convention) and `*_dollars` at full fixed-point precision — a genuine sub-cent quote like 0.335 shows as 34 in `yes_ask_cents` and exactly 0.335 in `yes_ask_dollars`; use the dollars field for anything sizing a trade on a thin spread. `implied_yes_prob` is computed from the dollars value, not the rounded cents, so it carries the same precision. `yes_bid_size`/`no_bid_size` report top-of-book contract size for the two real resting sides when include_orderbook populated them from the orderbook ladder — there is no separate size for yes_ask/no_ask because those are derived prices (1 − the opposite side's best bid), not an independent order. For cross-venue spreads vs Polymarket, see polymarket_kalshi_spread.
⟨34 unchanged words⟩ (KXFED, KXBTC, KXCPI, etc.), orcategory.category (Politics, Economics, Financials, Crypto, Climate and Weather, Sports, ...). Kalshi's own endpoint ignores a category filter, so we apply it over a bounded page scan and report events_scanned / scan_complete with the result — a category browse is filtered, not exhaustive. Use this as a discovery tool — to ⟨25 unchanged words⟩
⟨3 unchanged words⟩ "status":"open"},{"limit":50},{"category":"Economics","limit":5}],"properties":{"category":{"description":"Kalshi category, exact words: Politics | Elections | Economics | Financials | Crypto | Companies | Commodities | Climate and Weather | Science and Technology | Sports | Entertainment | World | Health | Transportation | Social | Mentions | AI | Education | Business | Exotics. Applied by Pipeworx over a bounded scan of Kalshi's event pages (Kalshi's endpoint ignores category), so the response carries events_scanned and scan_complete.","type":"string"},"cursor":{"description":"Pagination cursor"," ⟨29 unchanged words⟩
AUTHORITATIVE detail for one Kalshi market by ticker (e.g. "KXFED-26OCT-T3.50")., live OR long-settled — Kalshi drops older markets from its live endpoints (they 404 there), and this falls through to Kalshi's historical archive and says which answered in `source`. Returns the rules text (so you know ⟨47 unchanged words⟩
{"examples":[{"ticker":"KXFED-26OCT-T3.50"},{"ticker":"PRES-2024-DJT"}],"properties":{"ticker":{"description": ⟨12 unchanged words⟩
List or search Kalshi predictionmarkets.markets, open or already settled. Pass `keyword` to find markets by subject — ⟨20 unchanged words⟩ a literal keyword hit from a relevance-ranked neighbor. A keyword search honours `status`, so status "settled" is how you find a RESOLVED market by subject (its `result` is the outcome) — Kalshi indexes settled markets separately and the open index does not contain them. Other filters: status (open|closed|settledopen|closed|settled|unopened), event_ticker (group by event), series_ticker (group by series like KXFED for Fed rate).ReturnsEVERY path returns the same fields — ticker, event_ticker, series_ticker, title,yes_ask/no_asksubtitle,(instatus, yes_ask/yes_bid/no_ask/last_price (cents 1–99), implied_yes_prob, volume, volume_24h, open_interest, liquidity, close_time, category, result — so you can screen by category AND liquidity in one call. Two fields are conditional andforsay so here rather than surprising you: `result` is the settled outcome ("yes"/"no") and is null while akeywordmarketsearchis still trading, and `category` comes from theeventmarket'seachKalshi series (Kalshi's marketbelongsrecordsto.carry none), so it is null for the rare market whose series lookup fails — listed in fields_omitted when that happens. A keyword search adds two fields a listing has no notion of: event_title and match. Anything we cannot populate is named in `fields_omitted` rather than returned as a bare null. Use this to discover markets; use kalshi_market forfullthedetail.rules text.
⟨7 unchanged words⟩ ,{"limit":100,"series_ticker":"KXFED"},{"keyword":"2024 presidential election","limit":5,"status":"settled"}],"properties":{"cursor":{"description": ⟨33 unchanged words⟩ Kalshi's own search over the full market corpus,(activein the slice named by `status` — pass status \"settled\" to find markets that have already RESOLVED (they carry `result`);,word-boundarywhich the default open index does not contain. Word-boundary matched, so \"Vance\" will not match ⟨40 unchanged words⟩
⟨7 unchanged words⟩ market — how the YES odds moved overtime.time, for ANY window, including one that ended long ago. Pass a market ticker (e.g. "KXFEDDECISION-28JAN-H26").plus either an explicit start_ts/end_ts window ("what did this market think in March?") or lookback_days as sugar for a window ending now. Returns OHLC candles: YES price (open/high/low/close/mean as probability 0-1), best bid/ask, volume, and open interest per interval.UseKalshiforserves"howathasmostthis5,000marketcandlesmoved",pertrend/momentumrequest; a window larger than that comes back as page 1 with `next_cursor` and `complete: false` — pass the cursor straight back for the next slice,oroldest-firstcharting— so apredictionlongoverwindowtime.isThenever silently shortened. Kalshianaloguealso MOVES older markets out ofpolymarket_price_history.itsPickliveintervalendpoints,"1h"whereorthey"1d"404;(default)this routes to Kalshi's historical archive automatically andlookback_days.reports which one answered in `source`, so backtesting a resolved 2024 market works the same way as charting a live one. The Kalshi analogue of polymarket_price_history.
⟨5 unchanged words⟩ ","lookback_days":7,"ticker":"KXALIENS-27"},{"end_ts":"2026-04-01","interval":"1d","start_ts":"2026-03-01","ticker":"KXFEDDECISION-28JAN-H26"},{"end_ts":"2024-11-10","interval":"1d","start_ts":"2024-10-05","ticker":"PRES-2024-DJT"}],"properties":{"cursor":{"description":"Pass back `next_cursor` from a previous response to fetch the next slice of a window too large for one request (>5,000 candles). The cursor carries the ticker, interval and remaining window, so no other argument is needed with it.","type":"string"},"end_ts":{"description":"Window END — same formats as start_ts. Defaults to now when omitted.","type":"string"},"interval":{"description":"\"1h\" (hourly) | \"1d\" ⟨4 unchanged words⟩ 1m\" (per-minute). Coarser intervals cover longerhistory.history per request.","type":"string"},"lookback_days":{"description":"HowSugarmanyfordaysabackwindowtolengthfetchin
Recent executedExecuted trades for a marketticker.ticker, live OR long-settled. Returns most-recent N trades with yes/no price in BOTH units (centsyes_price_cents and yes_price_dollars at full precision), contract size, taker side,and timestamp. Useful for sanity-checking what the marketisactuallypayingpaid vs the restingorderbook.orderbook, and for reconstructing how a resolved market traded. Kalshi answers 200-with-an-empty-list on its live trades endpoint for markets it has archived, so this falls through to Kalshi's historical trade archive and reports which one answered in `source`.
{"examples":[{"limit":50,"ticker":"KXFED-26OCT-T3.50"},{"limit":3,"ticker":"PRES-2024-DJT"}],"properties":{"limit":{"description": ⟨16 unchanged words⟩
{"examples":[{"message":"Fleet #2184 smoke test: verifying pipeworx_feedback example call returns non-empty.","type":"other"}],"properties":{"claim_token":{"description":"Read ⟨144 unchanged words⟩
{"examples":[{"window":"7d"}],"properties":{"window":{"description":"24h ⟨25 unchanged words⟩
{"examples":[{"topic":"Fed rate decision"}],"properties":{"event":{"description":"Single-event ⟨77 unchanged words⟩
⟨181 unchanged words⟩ daily closes of edge_pp_net (net of default slippage AND Polymarket's own taker fee — see polymarket_edges), not intraday.
{"examples":[{"days":14,"window":"1wk"}],"properties":{"days":{"description":"Lookback ⟨31 unchanged words⟩
⟨129 unchanged words⟩ 85%/5%/50:1). EVERY OPPORTUNITY carries edge_pp_net (afternet of slippage AND Polymarket's own taker fee — fees_pp_applied itemises the fee component; see fees.ts for the published per-category schedule), kelly_fraction + kelly_fraction_half (capped at 0.25) ⟨111 unchanged words⟩
{"examples":[{"limit":5,"window":"1wk"}],"properties":{"category_filter":{"description":"Comma-separated ⟨85 unchanged words⟩ default 0.5). Edge is evaluated NET ofslippage.slippage and Polymarket's own taker fee.","type":"number"},"min_kelly":{ ⟨159 unchanged words⟩ in percentage points per leg (default 0.3)., for bid/ask + thin depth cost that a last-trade price does not show. Subtracted from raw |edge| before ranking and Kellysizing.sizing,PolymarketONhasTOP OF Polymarket's own taker fee — which is NOT zerotrading(ratefees0.04-0.07asdependingofon2024category,butreadbid/askoff+eachthinmarket'sdepthowntypicallypublishedeatsfee20-50bpschedule;perseetrade.fees_pp_applied on every row and fees.ts for the full schedule). Bump slippage for very thin partitions; drop to 0 if you have a smarter fillmodel.model — the fee still applies regardless.","type":"number"},"window":{ ⟨17 unchanged words⟩
⟨165 unchanged words⟩ dominant loss mode in real arb-bot P&L). FEES ARE NOT MODELLED HERE: vwap_fill_price/profit_usd are GROSS of Polymarket's own taker fee (rate 0.04-0.07 by category — see polymarket_edges/fees.ts), on top of which this tool prices depth-crossing cost; a thin-margin fill that looks clean here can still be net-negative after the fee.
{"examples":[{"market":"will-the-fed-increase-interest-rates-by-25-bps-after-the-december-2026-meeting-20260729232808636","side":"buy_yes","size_usd":1000}],"properties":{"event":{"description":"Basket ⟨95 unchanged words⟩
⟨221 unchanged words⟩ query ran and why that event won). Fleet #2064: when two Polymarket candidates tie on resolution time `polymarket_selected_by` now SAYS so, names every tied slug, names the tie-break that actually decided it (the candidate whose metric_type matches the Kalshi series, else lexicographic slug order), and states whether the winner's metric matches the Kalshi series — it used to assert "picked the soonest-resolving" byte-identically on calls that returned DIFFERENT events, because the tie was settled by upstream fetch arrival order. RESPONSE: each venue's leg-by-leg prices (raw probability ⟨52 unchanged words⟩ probably not the same question), temporal_mismatch (theytheresolvetwoinevents are about different SUBJECT months — e.g. Kalshi "CPI in October" vs Polymarket "September Inflation"), temporal_alignment_unknown (theresolutionsubject month could not be parsed on one or both sides — NOT the same as confirmed-aligned; check eachevent's close/strike dateevent yourself), non_equivalent_bet_shapes, no_candidate_pairs, unclassified_legs_excluded, pairing_unverified ⟨67 unchanged words⟩ ,aligned} tells you whether the two eventsresolveareinabout the same SUBJECT calendar period, in EITHERmode;mode — this is the period the question is ABOUT (e.g. "September" for a CPI release that settles in October), not necessarily when either side settles; null means it could not be computed (see temporal_alignment_unknown), not that the two sides align. Fleet #2062: this used to compare Polymarket's settlement date against Kalshi's subject month and call a match — fixed to compare subject month to subject month on both sides. FEES: every top_spreads_pp and low_confidence_pairs[] row ⟨325 unchanged words⟩
{"examples":[{"since":"30d","type":"company","value":"AAPL"}],"properties":{"since":{"description":"Window ⟨62 unchanged words⟩
{"examples":[{"key":"target_ticker","value":"AAPL"}],"properties":{"key":{"description":"Memory ⟨29 unchanged words⟩
{"examples":[{"type":"company","value":"AAPL"}],"properties":{"type":{"description":"Entity ⟨89 unchanged words⟩
{"examples":[{"entities":["Pipeworx","Zapier"]}],"properties":{"_apiKey":{"description":"Optional ⟨97 unchanged words⟩
{"examples":[{"package":"left-pad"}],"properties":{"package":{"description":"npm ⟨35 unchanged words⟩
{"examples":[{"query":"supply-chain risk","text":"Apple Inc. reported fiscal 2023 revenue of $383.285 billion, driven by strong iPhone and Services growth. Net income was $96.995 billion. The company faced supply-chain risk in China during the quarter."}],"properties":{"limit":{"description":"Max ⟨55 unchanged words⟩
{"examples":[{"topic":"finance"}],"properties":{"topic":{"description":"Optional ⟨28 unchanged words⟩
{"examples":[{"claim":"Apple's fiscal 2023 revenue was $383 billion"}],"properties":{"claim":{"description":"Natural-language ⟨67 unchanged words⟩
Kalshi Candlesticks — Price history (OHLC candles) for UP TO 100 Kalshi markets over ONE shared window, in ONE call — Kalshi's batch candlestick endpoint (`GET /markets/candlesticks`). This is the comparison tool: every bucket of a Fed or CPI event on one timeline, or the same question across several strikes, without the N separate calls kalshi_price_history would cost. Per candle: YES open/high/low/close/mean as a probability 0-1, best bid/ask close, volume and open interest. Kalshi caps the response at 10,000 candles ACROSS all markets combined — when the cap binds the response says `truncated_by_upstream: true`…
Kalshi Event Live Data — The REAL-WORLD measurement an event settles against, next to the odds — Kalshi's event live-data feed (`GET /live_data/events/{event_ticker}`). This is the thing you cannot get by calling any other Kalshi endpoint: for a crypto event it is the underlying BTC/ETH price track from the settlement index (candlesticks + tick timeseries); for an economic event it is the actual published series the market resolves on (e.g. CPI CUUR0000SA0 from BLS, monthly, with its latest value and the target period); for other events it is whatever observation Kalshi charts behind the contract. The response's `typ…
Kalshi Game Stats — Live scoreboard and play-by-play for a sports game Kalshi has markets on, keyed by MILESTONE id (not event ticker) — Kalshi's `GET /live_data/milestone/{id}` plus `/game_stats`. Returns the current state (score, period/inning, status, last play, winner once final) and the play list, newest-first, each with its description, clock and score at the time. Get the milestone id from kalshi_milestones (its `related_event_tickers` is the bridge back to tradeable markets). COVERAGE, stated plainly: Kalshi documents play-by-play for Pro/College Football, Pro/College Basketball, WNBA, Soccer, Pro Hockey…
Kalshi Milestones — Kalshi's own index of the real-world OCCURRENCES its markets hang off — games, elections, hearings, launches — from `GET /milestones`. Each milestone carries a title, type (e.g. baseball_game, football_game, tennis_tournament_singles, election), category, start and end dates, source ids, and — the reason to use this — `primary_event_tickers` and `related_event_tickers`, which are Kalshi's OWN statement of which markets belong to the occurrence. That is the alternative to matching event titles by string, which is how you accidentally group two different games. Filter by category ("Sports", "El…
Kalshi Orderbooks — Depth-of-book for UP TO 100 Kalshi markets in ONE call — Kalshi's own batch orderbook endpoint (`GET /markets/orderbooks`), not a fan-out we do for you. Use this instead of calling kalshi_orderbook once per ticker when you are pricing a whole event partition (an 11-bucket Fed event, a 20-strike temperature ladder) or screening several markets for liquidity: one request, one rate-limit slot. Returns per ticker: the full yes_bids / no_bids ladders (price in BOTH units — price_dollars at Kalshi's fixed-point precision and price_cents rounded — with quantity), plus best_yes_bid / best_no_bid and …
Kalshi Structured Targets — The ENTITIES Kalshi's markets are about, as Kalshi models them — players, teams, actors, films and similar — from `GET /structured_targets`. Each row has a stable id, a type — granular by sport, e.g. "actor", "football_player", "soccer_team", "film", "company", "politician", with NO bare "player" or "team" and no error for an unknown one (it returns an empty list, and the response names the known types when that happens), a name, source ids, and a type-specific `details` block (a player carries league, position, jersey, team_id; an actor carries films and social handles). Use it to resolve a …
Kalshi Weather Index — Kalshi's OWN city temperature index — the minute-resolution series that its hourly temperature markets settle against, from `GET /live_data/weather/{city}`. This is not a weather forecast and not a single station: it is the number Kalshi computes from a weighted multi-station panel, in Fahrenheit to 0.01, which is the only series a temperature contract actually resolves on. Each point carries `contributors` (how many stations reported) and `status`; a minute where the quorum failed is reported rather than interpolated. CITY IS AN INDEX ID, NOT A PLACE NAME, and Kalshi supports exactly thirtee…
Kalshi Weather Index Calibrations — How a Kalshi city temperature index is COMPUTED, and every time that changed — `GET /live_data/weather/{city}/calibrations`. Returns the launch configuration plus each weekly offset calibration and methodology update in ascending effective order: per-station weights, per-station offsets in Celsius, the city reference, the config version string, the calibration window and Kalshi's stated reason for the change. This is the audit trail behind kalshi_weather_index: it is what lets you reproduce an index value from raw station data, and what tells you whether a settlement dispute falls before or a…
Beta version of ask_pipeworx: identical universal router (same56,961032 tools, same arguments, same response shape) ⟨68 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨8 unchanged words⟩ as ask_pipeworx — picks the right tool from56,961032 across15521569 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩
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⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's15521569 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ , routes each to the right one of56,961032 tools IN PARALLEL, and returns a findings ⟨216 unchanged words⟩
⟨191 unchanged words⟩ partition_check{sum_yes_prices, gap_from_1, placeholders_filtered, suggested_trade}. FEES: every opportunities[] row and partition_check.arbitrage carry edge_pp_gross (== gap_pp / overround_pp), fees_pp, edge_pp_net, net_positive, plus polymarket_fee_pp, fee_basis and fee_categories[]. BOTH cost components are modeled: Polymarket's own per-category TAKER FEE (fee = shares × rate × p × (1-p), rates crypto 0.07 / sports-economics-culture-weather-other 0.05 / finance-politics-mentions-tech 0.04, geopolitics and world events fee-free; verified against Polymarket's own docs as of 2026-09-13) and Polygon gas (~$0.02/leg). The taker fee dominates: ~$1.75 per 100 shares on a crypto market at 50c versus $0.02 of gas, so rows that looked profitable before fleet #1927 may now show net_positive:false — that is the correction, not a regression. Each leg is priced at ITS OWN market's rate and price (the fee curve peaks at 50c and falls toward both extremes). fee_basis says where the rate came from: 'payload' (read off the market, the normal case), 'category' (mapped from its fee category), 'fee_free', or 'fallback' (rate unknown — charged at the modal 0.05 rather than assumed free, so an unreadable market is never reported as costless). Where fill_check reprices against live depth, this does NOT double-count that spread cost. FILL CHECK: when the partition signal fires, ⟨38 unchanged words⟩
⟨419 unchanged words⟩ temporal_alignment_unknown), not that the two sides align.spread.fees_noteFEES:iseveryatop_spreads_ppstandinganddisclosure:low_confidence_pairs[]Kalshirowchargescarriesper-contractedge_pp_grosstrading(==fees|spread_pp|),Polymarketfees_pp,doesedge_pp_net,notnet_positive, andthisBOTHtoolvenues'doestakernotfeesmodelitemisedKalshi'sas kalshi_fee_pp and polymarket_fee_pp (plus polymarket_fee_rate, polymarket_fee_category, polymarket_fee_basis). Kalshi leg: feeschedule=—ceil(0.07every*spread_ppcontractsis*grossP * (1-P) * 100) / 100 dollars per order,notverifiedaagainstnetkalshi.com/docstradeableandedge.corroboratingspread.resolution_source_noteexplainersisastheofsecond2026-09-12.standingPolymarketdisclosureleg:thefeetwo=venues'sharesRESOLUTION×SOURCESrateare×neverpcompared,×so(1-p)awithPolymarketratemarketbysettlingcategoryon(cryptoa0.07,Binancesports/economics/culture/weather/other1-minute0.05,candlefinance/politics/mentions/tech 0.04, geopolitics andaworldKalshieventseventfee-free),strikingverifiedonagainstKalshi'sPolymarket's ownindexdocs as of 2026-09-13 and read off each market's published fee parameters rather than inferred. Both amortized at adifferent100-contracthourreferencewillsize. Before fleet #1927 the Polymarket leg carried modeled gas only, which made every edge_pp_net here optimistic by up to ~1.75pp; spreads that no longer clear are the correction. Spread-crossing cost is stillbeNOTshownmodeledsideon the Polymarket leg (no live order book is fetched by this tool). spread.fees_note carries the same disclosure. RESOLUTION EQUIVALENCE (fleet #1909): every top_spreads_pp and low_confidence_pairs[] row now also carries resolution_equivalent ("true"|"false"|"unclear") and, when not "true", resolution_warning naming what differs — computed ONCE per event pair (not per leg) via resolution_audit/resolution_diff off one representative leg from each side, since the settlement mechanism is normally shared across every leg in one event. A non-equivalent or unclear pair is NEVER suppressed, only labelled —partreadofresolution_warninganybeforespread_pptreatingmayspread_ppbeas adifferencerealincross-venuecontractdisagreement rather than a difference inopinion.contract. spread.resolution_audit carries the full underlying audit (source/timestamp/timezone/precision/evidence_standard/void_handling for both sides) and spread.resolution_source_note is the standing disclosure explaining the methodology and its "unclear" caveat. Call resolution_audit/resolution_diff directly for a specific pair of legs if you need a non-representative-sample breakdown. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair ⟨40 unchanged words⟩
Company Facts — TYPED, DETERMINISTIC financial facts for a US public company for an EXPLICITLY NAMED reporting period — "Apple revenue for fiscal 2023", "Walmart net income FY2026 Q3", "Microsoft cash at the end of fiscal 2024". PREFER OVER entity_profile / get_company_financials whenever the period matters: those answer "the most recent figures" and will happily hand back FY2025 when you asked about FY2019, and neither separates a discrete quarter from a year-to-date figure. This one refuses instead — it NEVER substitutes the latest period for the period requested, NEVER returns 0 for missing data, NEVER le…
Kalshi Weather Edge — Prices Kalshi daily high-temperature markets against the NWS forecast for the market's OWN settlement station, and measures whether that forecast actually beats the market. Two modes. LIVE (default): returns the full strike ladder for one city and settlement date with market_prob (mid), forecast_prob, and edge_pp per strike, plus the settlement clause verbatim. BACKTEST (`backtest_days: N`): scores an archived gridded forecast against the market on settled days and returns brier_market vs brier_forecast with a plain-English `verdict`, so the edge is MEASURED rather than asserted. READ THE WAR…
Release Calendar Markets — JOIN of the official release calendar (econ data, the FOMC, FDA decisions, SEC rules) against LIVE Polymarket/Kalshi markets — which scheduled releases land in the next N hours, and which live markets resolve on them. This is a POSITIONING tool, not a speed product: results are cached like every other pack (≤ 60s TTL) and there is no push/webhook — do not use this to try to beat a release, use it to see what is coming and what is already priced. CATEGORIES: econ (CPI, Employment Situation/jobs report, GDP, PCE, PPI, retail sales, housing starts, jobless claims — via fred_release_dates per kno…
Resolution Audit — Extract the settlement clause of a single Polymarket or Kalshi market: who publishes the settling number (source), the clock time + timezone it is taken at, the precision of the computation (e.g. "1-minute candle close" vs "60-second trailing average" vs "election outcome"), the evidence standard (official_source | consensus_reporting | any_credible_report | unspecified), and void_handling (cancellation/postponement settlement — reused verbatim from bet_research's cancellation_rule detector, not re-derived). Parses Polymarket's `description` field (fetched via polymarket_market) or Kalshi's `…
Resolution Diff — Field-by-field diff of TWO markets' settlement clauses (one from each of `a` and `b`; either can be Polymarket or Kalshi) — runs resolution_audit on both sides and compares source, settle time, precision, and evidence standard. Returns `equivalent`: "true" only when both sides parsed with enough confidence to compare AND no field conflicts; "false" when a specific conflict was found (differing_fields names which — e.g. ["source","settle_time"] for a Polymarket Bitcoin market settling on Binance's 1-minute candle at noon ET versus a Kalshi KXBTCD market settling on CF Benchmarks' BRTI 60-secon…
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⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 5,957961 across 1552 sources, fills arguments, fetches the ⟨87 unchanged words⟩
Only numbers and dates differ: this server embeds live figures in the definition, so the text moves without the contract changing.
⟨69 unchanged words⟩ routes each to the right one of 5,957961 tools IN PARALLEL, and returns a findings ⟨216 unchanged words⟩