Fda Devices

 ⟨8 unchanged words⟩ as ask_pipeworx — picks the right tool from 67,897013 across 18151847 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 18151847 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ , routes each to the right one of 67,897013 tools IN PARALLEL, and returns a findings  ⟨216 unchanged words⟩ 

 ⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,772897 across 17811815 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. Attributes in 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` ⟨92 unchanged words⟩ 

 ⟨6 unchanged words⟩ {"fiscal_year":2023,"type":"annual"}},{"attribute":"shares_outstanding","company":"TSLA","period":{"fiscal_quarter":2,"fiscal_year":2026,"type":"quarterly"}},{"attribute":"capex","company":"TSLA","period":{"fiscal_quarter":2,"fiscal_year":2026,"type":"quarterly"}},{"attribute":"net_income","company":"TSLA","period":{"fiscal_quarter":4,"fiscal_year":2025,"type":"quarterly"}}],"properties":{"as_of":{"description": ⟨41 unchanged words⟩ = cash and cash equivalents at the period end.end; \"gross_profit\"; \"operating_income\"; \"eps_diluted\" (diluted EPS, unit USD/shares, never derived or summed); \"capex\" (cash paid for PP&E); \"operating_cash_flow\" (net cash from operating activities); \"long_term_debt\" (the noncurrent balance-sheet line where the filer tags it, else total long-term debt — `fact.measure` says which); \"shares_outstanding\" (dei cover-page common shares, unit \"shares\", as of the COVER DATE rather than the period end).","enum":["revenue","net_income","cash","gross_profit","operating_income","eps_diluted","capex","operating_cash_flow","long_term_debt","shares_outstanding"],"type":"string"},"basis": ⟨307 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 17811815 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,772897 tools IN PARALLEL, and returns a findings  ⟨216 unchanged words⟩ 

 ⟨104 unchanged words⟩ //edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATESTthe 10-Klatest RevenuesANNUAL +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⟩ 

 ⟨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\"). —A namesNAME resolvenow viaresolves through the national business registers as well as SEC EDGAR, company-nameso match.a non-US company returns its register identity and record rather than `resolved: false`.","type":"string"}},"required": ⟨4 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⟩ 

 ⟨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 in form_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⟩ 

Beta version of ask_pipeworx: identical universal router (same 6,693772 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⟩ 

 ⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,693772 across 17611781 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨259 unchanged words⟩ no accession behind it). Source: SEC EDGAR, XBRL companyconceptfinancial facts, one publisher read once — see `corroboration`.  ⟨11 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 17611781 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,693772 tools IN PARALLEL, and returns a findings  ⟨216 unchanged words⟩ 

 ⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,470693 across 16841761 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 16841761 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,470693 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⟩ 

 ⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,453470 across 16821684 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 16821684 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,453470 tools IN PARALLEL, and returns a findings  ⟨216 unchanged words⟩ 

 ⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,431453 across 16801682 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 16801682 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,431453 tools IN PARALLEL, and returns a findings  ⟨216 unchanged words⟩ 

 ⟨462 unchanged words⟩ (zero releases across every requested category) returns errorthe SAME shape as a populated one — release_count:0, releases:[] — plus empty_reason:"no_releases_in_window" withand a widen-the-window`hint` hinttelling ratheryou thanto anwiden, emptyso arrayyou —never econbranch 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⟩ 

 ⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,402431 across 16741680 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 16741680 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,402431 tools IN PARALLEL, and returns a findings  ⟨216 unchanged words⟩ 

 ⟨14 unchanged words⟩ panel, clearance type, decision, applicant location, or third-party review status.status, or device-category text (via `indication`). Covers IN VITRO DIAGNOSTIC (IVD) tests and diagnostic devices, not just implants/hardware -- includes cleared molecular, genomic and companion diagnostic tests. Clearance means FDA found substantial equivalence; it is not an FDA approval or endorsement. `indication` is a BEST-EFFORT bridge, not a clinical-claim search: 510(k) records carry no indication/intended-use text at all, so it matches FDA's device CLASSIFICATION category name/definition instead (a product TYPE like "Insulin Pump", not a specific claim) and finds clearances under the matching product code(s) -- for a true clinical-indication text search (e.g. molecular/companion-diagnostic claims), use fda_device_pma_search's indication argument, which searches FDA's real approval-order narrative. Unknown arguments are rejected, not ignored. The  ⟨36 unchanged words⟩ 

 ⟨10 unchanged words⟩ ","clearance_type":"Special","limit":5},{"indication":["insulin pump"],"limit":5}],"properties":{"advisory_committee":{"description":"FDA  ⟨85 unchanged words⟩ Earliest decision date, YYYY-MM-DD.","type":"string"},"indication":{"description":"One or more device-category phrases, OR'd together, matched against FDA's device classification name/definition (device/classification.json) to find matching product code(s), then 510(k)s under those codes -- a category match (e.g. \"Insulin Pump\"), NOT a search of clinical-claim text, because 510(k) has no such field. Pass several phrasings since matching is exact-phrase against the category wording. For an actual clinical-indication/intended-use text search, use fda_device_pma_search's indication argument instead.","items":{"type":"string"},"type":"array"},"k_number":{"description":"Exact K ⟨78 unchanged words⟩ 

 ⟨8 unchanged words⟩  by trade/generic name, applicant, product code, PMA number, or CLINICAL INDICATION/condition text (via `indication`). Which diagnostic tests are FDA-approved: covers high-risk IN VITRO DIAGNOSTIC (IVD) tests approved via PMA, number.including companion diagnostics and molecular residual disease (MRD) / ctDNA monitoring tests (e.g. Signatera, Guardant360 CDx) -- these are FDA-approved tests, not cleared devices, so this tool (not 510(k)) is the one that finds them. `indication` matches free text in FDA's own published approval-order narrative (`ao_statement`) -- the intended-use/indication language FDA wrote when it approved the device -- so a caller who describes what a test DOES or what condition/biomarker it monitors (without knowing any brand name) can still find it; `device` only matches the trade/generic NAME field and returns nothing for a condition-only question. Supplements may represent manufacturing or labeling changes rather than new devices.devices, so a supplement's own ao_statement can be a narrow procedural note (e.g. "approval of a post-approval study protocol") rather than the full clinical indication -- pass several synonymous indication phrases (FDA's exact wording varies by product and rarely matches a lay term) rather than one exact phrase.

 ⟨3 unchanged words⟩ ","from_date":"2025-01-01","limit":10},{"indication":["circulating tumor DNA","molecular residual disease","minimal residual disease","cell-free DNA","ctDNA","MRD"]}],"properties":{"applicant":{"description":" ⟨16 unchanged words⟩ Earliest decision date, YYYY-MM-DD.","type":"string"},"indication":{"description":"One or more clinical indication / intended-use / condition phrases, OR'd together, matched as exact phrases against the FDA approval-order narrative text (ao_statement) -- NOT the device name. Use this instead of (or with) `device` when the caller names a condition/biomarker/what-it-monitors rather than a brand, e.g. for \"MRD or ctDNA monitoring in solid tumors\" pass [\"circulating tumor DNA\",\"molecular residual disease\",\"minimal residual disease\",\"cell-free DNA\",\"ctDNA\",\"MRD\"] -- FDA's actual wording varies by product (Guardant360 CDx's approval says \"cell-free DNA (cfDNA)\", never \"ctDNA\"), so pass several synonyms rather than one exact phrase; each phrase is matched literally (no stemming/tokenizing), so an overly narrow or misspelled phrase silently finds nothing.","items":{"type":"string"},"type":"array"},"limit":{"description":"Results ( ⟨35 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 across 16591674 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's 16591674 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 to deletedelete. 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⟩ 

 ⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,332350 across 16531659 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 16531659 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⟩ 

 ⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,323332 across 16501653 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 16501653 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,323332 tools IN PARALLEL, and returns a findings  ⟨216 unchanged words⟩ 

 ⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,061323 across 15721650 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 15721650 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,061323 tools IN PARALLEL, and returns a findings  ⟨216 unchanged words⟩ 

Beta version of ask_pipeworx: identical universal router (same 6,019061 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 6,019061 across 15671572 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":[{"type":"company","values":["AAPL","MSFT"]}],"properties":{"type":{"description":"Entity  ⟨48 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 15671572 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,019061 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⟩ 

 ⟨5 unchanged words⟩  notifications by device, applicant, product code, K number, review panel, clearance type, decision, applicant location, or Kthird-party number.review status. Clearance means FDA found substantial equivalence; it is not an FDA approval or endorsement. Unknown arguments are rejected, not ignored. The most recent decision available lags roughly 2 weeks behind FDA's own site (openFDA's publishing cadence, not ours) -- do not treat this as same-day. `total` can exceed the 100-row `limit` cap; page further rows with `skip`.

 ⟨4 unchanged words⟩ ","from_date":"2025-01-01","limit":10},{"advisory_committee":"Orthopedic","clearance_type":"Special","limit":5}],"properties":{"advisory_committee":{"description":"FDA review panel name (exact), e.g. \"Orthopedic\" or \"Microbiology\".","type":"string"},"applicant":{"description":"Applicant/company substring.","type":"string"},"applicant_country":{"description":"Applicant country, ISO 3166-1 alpha-2 code, e.g. \"US\" or \"JP\".","type":"string"},"applicant_state":{"description":"Applicant US state/territory code, e.g. \"CA\". Only populated for US applicants.","type":"string"},"clearance_type":{"description":"Exact clearance type: Traditional, Special, or Abbreviated.","type":"string"},"decision":{"description":"Exact decision text, e.g. \"Substantially Equivalent\".","type":"string"},"device":{"description":"Device/trade name substring.", ⟨31 unchanged words⟩  three-letter FDA product code.","type":"string"},"skip":{"description":"Row offset for paging past the 100-row limit cap (openFDA `skip`, max 25000), e.g. skip=100 with limit=100 returns rows 101-200.","type":"number"},"third_party_review":{"description":"true to keep only 510(k)s reviewed under FDA's third-party review program; false to exclude them.","type":"boolean"},"to_date":{"description":"Latest decision ⟨6 unchanged words⟩ 

{"examples":[{"url":"https://pipeworx.io"}],"properties":{"max_links":{"description":"Maximum  ⟨37 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 of slippage.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 Kelly sizing.sizing, PolymarketON hasTOP OF Polymarket's own taker fee — which is NOT zero trading(rate fees0.04-0.07 asdepending ofon 2024category, butread bid/askoff +each thinmarket's depthown typicallypublished eatsfee 20-50bpschedule; persee trade.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 fill model.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 (theythe resolvetwo inevents are about different SUBJECT months — e.g. Kalshi "CPI in October" vs Polymarket "September Inflation"), temporal_alignment_unknown (the resolutionsubject month could not be parsed on one or both sides — NOT the same as confirmed-aligned; check each event'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 events resolveare inabout the same SUBJECT calendar period, in EITHER mode;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⟩ 

 ⟨8 unchanged words⟩ as ask_pipeworx — picks the right tool from 56,961019 across 15521567 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 15521567 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ , routes each to the right one of 56,961019 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 (fleet #1910): every opportunities[] row and partition_check.arbitrage now carry edge_pp_gross (== gap_pp / overround_pp), fees_pp, edge_pp_net, net_positive, plus polymarket_fee_pp, fee_basis and net_positivefee_categories[]. —BOTH cost components are modeled: PolymarketPolymarket's gasown costper-category TAKER FEE (bothfee legs,= ~$0.02/legshares × 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 schedule2026-09-13) dateand 2026-09-12;Polygon wheregas the(~$0.02/leg). fill_checkThe belowtaker alreadyfee repricesdominates: against~$1.75 liveper depth100 shares on a crypto market at 50c versus $0.02 of gas, thisso doesrows NOTthat double-countlooked profitable before fleet #1927 may now show net_positive:false — that spreadis costthe correction, onlynot gas.a Knownregression. gap:Each Polymarket'sleg ownis per-categorypriced takerat 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' (rolledread outoff 2026the market, upthe tonormal ~1.8%case), on'category' crypto(mapped atfrom 50/50its fee category), is'fee_free', NOTor yet'fallback' modeled(rate unknown — treatcharged edge_pp_netat the modal 0.05 rather than assumed free, so an unreadable market is never reported as still-optimisticcostless). onWhere fee-bearingfill_check categories.reprices against live depth, this does NOT double-count that spread cost. FILL CHECK: when the partition signal fires, ⟨38 unchanged words⟩ 

 ⟨420 unchanged words⟩ ), not that the two sides align. FEES (fleet #1910): every top_spreads_pp and low_confidence_pairs[] row now carries edge_pp_gross (== |spread_pp|), fees_pp, edge_pp_net, and net_positive, —and Kalshi'sBOTH per-contractvenues' taker fee isfees modeleditemised onas thekalshi_fee_pp Kalshiand legpolymarket_fee_pp (verified against kalshi.com/docs andplus corroboratingpolymarket_fee_rate, explainerspolymarket_fee_category, aspolymarket_fee_basis). ofKalshi 2026-09-12leg: fee = ceil(0.07 * contracts * P * (1-P) * 100) / 100 dollars per order, verified against kalshi.com/docs and corroborating explainers as of 2026-09-12. Polymarket leg: fee = shares × rate × p × (1-p) with rate by category (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 read off each market's published fee parameters rather than inferred. Both amortized at a 100-contract reference size),size. Before fleet #1927 the Polymarket leg carriescarried modeled gas only, (nowhich livemade orderevery bookedge_pp_net here, sooptimistic spread-crossingby up to ~1.75pp; spreads that no longer clear are the correction. Spread-crossing cost is notstill NOT modeled on thatthe Polymarket leg (no live order book is fetched by this tool). spread.fees_note incarries the responsesame disclosure. RESOLUTION EQUIVALENCE (fleet #1909): every top_spreads_pp and low_confidence_pairs[] row now also carries thisresolution_equivalent same("true"|"false"|"unclear") disclosureand, pluswhen thenot known"true", gap:resolution_warning Polymarket'snaming ownwhat 2026differs per-category— takercomputed feeONCE isper event pair (not yetper modeled,leg) sovia edge_pp_netresolution_audit/resolution_diff stilloff understatesone truerepresentative costleg onfrom fee-bearingeach Polymarketside, categories.since spread.resolution_source_notethe settlement mechanism is thenormally secondshared standingacross disclosure:every theleg twoin venues'one RESOLUTIONevent. SOURCESA arenon-equivalent neveror comparedunclear pair is NEVER suppressed, soonly alabelled Polymarket— marketread settlingresolution_warning onbefore treating spread_pp as a Binancereal 1-minutecross-venue candledisagreement andrather than a Kalshidifference eventin strikingcontract. onspread.resolution_audit Kalshi'scarries ownthe indexfull atunderlying aaudit different(source/timestamp/timezone/precision/evidence_standard/void_handling hourfor willboth stillsides) beand shownspread.resolution_source_note sideis bythe sidestanding —disclosure partexplaining ofthe anymethodology spread_ppand mayits be"unclear" caveat. Call resolution_audit/resolution_diff directly for a differencespecific inpair contractof ratherlegs thanif inyou opinion.need a non-representative-sample breakdown. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair ⟨40 unchanged words⟩ 

 ⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 5,957961 across 1552 sources, fills arguments, fetches the ⟨87 unchanged words⟩ 

 ⟨69 unchanged words⟩ routes each to the right one of 5,957961 tools IN PARALLEL, and returns a findings  ⟨216 unchanged words⟩