Hackertarget

 ⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,453475 across 16821685 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 16821685 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,453475 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 6,404431 across 16751680 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 16751680 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,404431 tools IN PARALLEL, and returns a findings  ⟨216 unchanged words⟩ 

 ⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,357404 across 16621675 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 16621675 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,357404 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⟩ 

Beta version of ask_pipeworx: identical universal router (same 6,350357 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 6,350357 across 16591662 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 16591662 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,350357 tools IN PARALLEL, and returns a findings  ⟨216 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 6,320332 across 16491653 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 16491653 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,320332 tools IN PARALLEL, and returns a findings  ⟨216 unchanged words⟩ 

Beta version of ask_pipeworx: identical universal router (same 6,056320 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 6,056320 across 15721649 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  ⟨363 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 15721649 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,056320 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⟩ 

{"examples":[{"type":"company","value":"AAPL"}],"properties":{"type":{"description":"\" ⟨62 unchanged words⟩ 

{"examples":[{"url":"https://pipeworx.io"}],"properties":{"max_links":{"description":"Maximum  ⟨37 unchanged words⟩ 

{"examples":[{"target":"1.1.1.1"}],"properties":{"_apiKey":{"description":"Your HackerTarget API key, from the member dashboard. HackerTarget requires an API key for whois, mtr and traceroute — its free tier refuses those three with \"error valid key required\". Pipeworx supplies no key for this pack. Membership and API docs: https://hackertarget.com/ip-tools/","type":"string"},"target":{"description":"Hostname or IP to ⟨6 unchanged words⟩ type":"string"}},"required":["target","_apiKey"],"type":"object"}

{"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⟩ 

{"examples":[{"days":14,"window":"1wk"}],"properties":{"days":{"description":"Lookback  ⟨31 unchanged words⟩ 

{"examples":[{"limit":5,"window":"1wk"}],"properties":{"category_filter":{"description":"Comma-separated  ⟨369 unchanged words⟩ 

{"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⟩ 

{"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":[{"target":"1.1.1.1"}],"properties":{"_apiKey":{"description":"Your HackerTarget API key, from the member dashboard. HackerTarget requires an API key for whois, mtr and traceroute — its free tier refuses those three with \"error valid key required\". Pipeworx supplies no key for this pack. Membership and API docs: https://hackertarget.com/ip-tools/","type":"string"},"target":{"description":"Hostname or IP to ⟨6 unchanged words⟩ type":"string"}},"required":["target","_apiKey"],"type":"object"}

{"examples":[{"claim":"Apple's fiscal 2023 revenue was $383 billion"}],"properties":{"claim":{"description":"Natural-language  ⟨67 unchanged words⟩ 

{"examples":[{"target":"pipeworx.io"}],"properties":{"_apiKey":{"description":"Your HackerTarget API key, from the member dashboard. HackerTarget requires an API key for whois, mtr and traceroute — its free tier refuses those three with \"error valid key required\". Pipeworx supplies no key for this pack. Membership and API docs: https://hackertarget.com/ip-tools/","type":"string"},"target":{"description":"Domain name or IP ⟨5 unchanged words⟩ type":"string"}},"required":["target","_apiKey"],"type":"object"}

 ⟨44 unchanged words⟩ the question to the right one of 6,045056 tools across 15711572 verified sources, fills arguments, returns the structured ⟨143 unchanged words⟩ 

Beta version of ask_pipeworx: identical universal router (same 6,045056 tools, same arguments, same response shape)  ⟨68 unchanged words⟩ 

 ⟨9 unchanged words⟩ ask_pipeworx — picks the right tool from 6,045056 across 15711572 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 15711572 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ routes each to the right one of 6,045056 tools IN PARALLEL, and returns a findings  ⟨216 unchanged words⟩ 

"Subdomains of [domain]" / "what hosts exist under [X]" / "find an admin or staging subdomain" — passive DNS host search via HackerTarget, dns_host_searchlisting lookup.known subdomains of a domain with their IPs, drawn from previously observed DNS data rather than by guessing names. Use for attack-surface inventory or to find a forgotten staging host.

{"examples":[{"target":"pipeworx.io"}],"properties":{"target":{"description":"Registrable domain to enumerate, e.g. \"pipeworx.io\" (not a subdomain).","type":"string"}},"required":[" ⟨3 unchanged words⟩ 

"Resolve [domain]" / "what IP does [site] point at" / "A records for [X]" — forward DNS lookup via HackerTarget, dns_lookupreturning lookup.the A/AAAA/MX/NS/SOA records the resolver holds for a hostname. Use to check where a domain currently points, or to confirm a DNS change has propagated.

{"examples":[{"target":"pipeworx.io"}],"properties":{"target":{"description":"Hostname to resolve, e.g. \"pipeworx.io\". Not a URL — strip the scheme and path.","type":"string"}},"required":[" ⟨3 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⟩ 

"What else uses this nameserver" / "domains sharing DNS with [X]" — shared-nameserver search via HackerTarget, find_shared_dnslisting lookup.other domains served by the same DNS server. Use to map the infrastructure footprint of an operator, or to see who else would be affected if a nameserver went down.

{"examples":[{"target":"pipeworx.io"}],"properties":{"target":{"description":"Nameserver hostname or a domain whose nameservers to pivot on, e.g. \"ns1.example.com\".","type":"string"}},"required":[" ⟨3 unchanged words⟩ 

"Where is [IP] located" / "what country is this address in" / "geolocate an IP" — IP geolocation via HackerTarget, geoipreturning lookup.country, state/region, city and coordinates for an address. City-level accuracy is approximate and a VPN or CDN address reports its datacenter, not its user. Use for coarse traffic attribution, never to locate a person.

{"examples":[{"target":"8.8.8.8"}],"properties":{"target":{"description":"IPv4 or IPv6 address, e.g. \"104.18.0.1\".","type":"string"}},"required":[" ⟨3 unchanged words⟩ 

"What headers does [site] return" / "what server runs [X]" / "check the security headers" / "does [site] redirect" — HTTP response headers fetched by HackerTarget, http_headersincluding lookup.status line, Server, redirect Location, and security headers such as HSTS and CSP. Use to fingerprint a stack or audit header hygiene without loading the page yourself.

{"examples":[{"target":"https://pipeworx.io/"}],"properties":{"target":{"description":"Hostname or full URL, e.g. \"pipeworx.io\" or \"https://pipeworx.io/\".","type":"string"}},"required":[" ⟨3 unchanged words⟩ 

HackerTarget"Network path to [host]" / "where does traffic to [X] slow down" / "per-hop latency" — mtr lookup.report via HackerTarget, combining traceroute and ping into a per-hop table of loss and latency measured FROM HackerTarget's probe host, not from you. Use to see which network hop is losing packets. REQUIRES AN API KEY: HackerTarget gates this endpoint, and the keyless tier answers "error valid key required" (verified 2026-09-16).

{"examples":[{"target":"1.1.1.1"}],"properties":{"target":{"description":"Hostname or IP to trace to, e.g. \"1.1.1.1\".","type":"string"}},"required":[" ⟨3 unchanged words⟩ 

"Is [host] up" / "ping [X]" / "round-trip time to [address]" — ICMP ping via HackerTarget, npingreporting lookup.reachability and round-trip time from HackerTarget's probe host. Use for a liveness check when you cannot ping from where you are. A host that blocks ICMP reads as down even when it serves traffic.

{"examples":[{"target":"pipeworx.io"}],"properties":{"target":{"description":"Hostname or IP to ping, e.g. \"pipeworx.io\".","type":"string"}},"required":[" ⟨3 unchanged words⟩ 

"What does [page] link to" / "extract every link from [URL]" / "outbound links on a page" — link extraction via HackerTarget, page_linksfetching lookup.one web page and returning the URLs it links to. Use to map a site section or find outbound references. One page only — it does not crawl, and it returns the links as published, not their fetched status.

{"examples":[{"target":"https://pipeworx.io/"}],"properties":{"target":{"description":"Full URL of the page to read, e.g. \"https://pipeworx.io/\". Include the scheme.","type":"string"}},"required":[" ⟨3 unchanged words⟩ 

"What hostname is [IP]" / "reverse DNS for [address]" / "PTR record lookup" — reverse DNS (PTR) lookup via HackerTarget, reverse_dnsmapping lookup.an IP address back to the hostname its owner published. Use to identify the operator behind an address in a log line. Returns nothing when no PTR record is set, which is common for cloud IPs.

{"examples":[{"target":"8.8.8.8"}],"properties":{"target":{"description":"IPv4 or IPv6 address, e.g. \"8.8.8.8\".","type":"string"}},"required":[" ⟨3 unchanged words⟩ 

"What else is hosted on [IP]" / "other sites on the same server" / "reverse IP lookup" — reverse IP lookup via HackerTarget, reverse_iplisting lookup.hostnames known to resolve to one address. Use to spot shared hosting or to find sibling properties of an operator. A CDN address returns many unrelated sites, so co-location is not evidence of common ownership.

{"examples":[{"target":"104.21.12.212"}],"properties":{"target":{"description":"IPv4 address, e.g. \"104.18.0.1\".","type":"string"}},"required":[" ⟨3 unchanged words⟩ 

"What is the range of [CIDR]" / "how many hosts in a /24" / "network and broadcast address for [X]" / "subnet calculator" — subnet arithmetic via HackerTarget, subnet_lookupreturning lookup.network address, broadcast address, usable host range, netmask and host count for a CIDR block. A pure calculation over the input; it does not probe the network.

{"examples":[{"target":"192.168.1.0/24"}],"properties":{"target":{"description":"CIDR block or address with prefix, e.g. \"192.168.1.0/24\".","type":"string"}},"required":[" ⟨3 unchanged words⟩ 

HackerTarget"Traceroute to [host]" / "what route does traffic take to [X]" / "how many hops to [address]" — traceroute lookup.via HackerTarget, listing the routers between HackerTarget's probe host and the target. The path is measured from their network, not yours. REQUIRES AN API KEY: HackerTarget gates this endpoint, and the keyless tier answers "error valid key required" (verified 2026-09-16).

{"examples":[{"target":"1.1.1.1"}],"properties":{"target":{"description":"Hostname or IP to trace to, e.g. \"pipeworx.io\".","type":"string"}},"required":[" ⟨3 unchanged words⟩ 

HackerTarget"Who owns [domain]" / "when does [X] expire" / "whois lookup.lookup" / "registrar for [site]" — WHOIS record via HackerTarget for a domain or IP: registrar, creation and expiry dates, nameservers, and whatever contact fields the registry still publishes. REQUIRES AN API KEY: HackerTarget gates this endpoint, and the keyless tier answers "error valid key required" (verified 2026-09-16). For keyless WHOIS use ripe_stat_whois.

{"examples":[{"target":"pipeworx.io"}],"properties":{"target":{"description":"Domain name or IP address, e.g. \"pipeworx.io\".","type":"string"}},"required":[" ⟨3 unchanged words⟩ 

 ⟨8 unchanged words⟩ as ask_pipeworx — picks the right tool from 56,961045 across 15521571 sources, fills arguments, fetches the data — ⟨85 unchanged words⟩ 

 ⟨30 unchanged words⟩ on every tier. Grounded multi-source research across Pipeworx's 15521571 STRUCTURED data sources (SEC filings, FRED/BLS economics ⟨23 unchanged words⟩ , routes each to the right one of 56,961045 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⟩ 

 ⟨181 unchanged words⟩ daily closes of edge_pp_net (net of default slippage AND Polymarket's own taker fee — see polymarket_edges), not intraday.

 ⟨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⟩ 

 ⟨89 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.

 ⟨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. spread.fees_noteFleet is#2062: this used to compare Polymarket's settlement date against Kalshi's subject month and call a standingmatch disclosure— fixed to compare subject month to subject month on both sides. FEES: Kalshievery chargestop_spreads_pp per-contractand tradinglow_confidence_pairs[] feesrow carries edge_pp_gross (== |spread_pp|), Polymarketfees_pp, doesedge_pp_net, notnet_positive, and thisBOTH toolvenues' doestaker notfees modelitemised Kalshi'sas kalshi_fee_pp and polymarket_fee_pp (plus polymarket_fee_rate, polymarket_fee_category, polymarket_fee_basis). Kalshi leg: fee schedule= —ceil(0.07 every* spread_ppcontracts is* grossP * (1-P) * 100) / 100 dollars per order, notverified aagainst netkalshi.com/docs tradeableand edge.corroborating spread.resolution_source_noteexplainers isas theof second2026-09-12. standingPolymarket disclosureleg: thefee two= venues'shares RESOLUTION× SOURCESrate are× neverp compared,× so(1-p) awith Polymarketrate marketby settlingcategory on(crypto a0.07, Binancesports/economics/culture/weather/other 1-minute0.05, candlefinance/politics/mentions/tech 0.04, geopolitics and aworld Kalshievents eventfee-free), strikingverified onagainst Kalshi'sPolymarket's own indexdocs as of 2026-09-13 and read off each market's published fee parameters rather than inferred. Both amortized at a different100-contract hourreference willsize. 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 still beNOT shownmodeled sideon 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 — partread ofresolution_warning anybefore spread_pptreating mayspread_pp beas a differencereal incross-venue contractdisagreement rather than a difference in opinion.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⟩ 

 ⟨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⟩