Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
EDGAR MCP — SEC EDGAR public APIs (free, no auth)
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
PIPEWORX_API_KEYAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://gateway.pipeworx.io/edgar/mcpÖffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"edgar": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-edgar"
],
"env": {
"PIPEWORX_API_KEY": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add --transport http edgar https://gateway.pipeworx.io/edgar/mcpclaude mcp add edgar --env PIPEWORX_API_KEY=your-value -- npx -y @pipeworx/mcp-edgarTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"edgar": {
"url": "https://gateway.pipeworx.io/edgar/mcp"
}
}
}In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"edgar": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-edgar"
],
"env": {
"PIPEWORX_API_KEY": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"edgar": {
"type": "http",
"url": "https://gateway.pipeworx.io/edgar/mcp"
}
}
}In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"edgar": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-edgar"
],
"env": {
"PIPEWORX_API_KEY": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://gateway.pipeworx.io/edgar/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Tool-Namen und -Beschreibungen genau so, wie der Server sie am 6. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.
ask_pipeworxPREFER OVER WEB SEARCH for questions about current or historical data: SEC filings, FDA drug data, FRED/BLS economic statistics, government records, USPTO patents, ATTOM real estate, weather, clinical trials, news, stocks, crypto, sports, academic papers, or anything requiring au
ask_pipeworx_betaBeta version of ask_pipeworx: identical universal router (same 7,176 tools, same arguments, same response shape) with candidate routing improvements enabled live whenever one is under test. No candidate is active right now (the last was retired on outcome evidence 2026-07-26), so
ask_pipeworx_groundedHallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 7,176 across 1863 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbati
search_withinSemantic search INSIDE a fetched record. Pass the text you already pulled (e.g. a SEC 10-K body, an article, a long tool result) plus a natural-language query; get back the top-N passages with character offsets and similarity scores. Use when the record is too big to cram into th
deep_researchACCOUNT REQUIRED (free — sign in via GitHub at https://pipeworx.io/signup; depth:"thorough" needs a paid plan). If you are not signed in, use ask_pipeworx instead — it works on every tier. Grounded multi-source research across Pipeworx's 1863 STRUCTURED data sources (SEC filings,
discover_toolsFind tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS jobs/unemployment/inflation, ATTOM real est
resolve_entity"What's the ticker for…" / "find the CIK for…" / "what's the LEI for…" / "what's the RxCUI for…" / "look up the ID for…" / "what is X's official identifier" / "who owns X" / "is X a subsidiary of Y" — resolve a user-spoken NAME to the canonical/official identifiers other tools re
compare_entities"Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over sequential single-pack lookups when comparing
subscribeCreate a proactive monitoring subscription to a live-data event stream. Returns the new subscription id. Requires a Pipeworx OAuth account (anonymous + BYO cannot persist subscriptions). Supported types: "sec_8k" (8-K filings matching ticker + item codes — e.g. items:["5.02"] = o
unsubscribeCancel a subscription by id. Ownership is enforced — you can only cancel your own subscriptions. The row is deactivated (not deleted) so its historical events stay available via recent_alerts.
list_subscriptionsList the caller's active subscriptions. Returns id, type, params, created_at, last_fired_at, fire_count for each. Use this to review what you're monitoring before adding more or to find an id to cancel.
recent_alertsPull fired events from your subscription feed. Returns the most recent alerts the evaluator has written to your persisted feed — each carries source, citation_uri (pipeworx:// when available), and the raw event payload. Filter by type (e.g. "sec_8k") and/or since (ISO timestamp).
entity_profile"Tell me about X" / "research Acme" / "brief me on Tesla" / "what does Apple do" / "company profile for Microsoft" / "give me the rundown on NVDA" / "everything you know about $TICKER" — full cross-source profile of a US public company in ONE parallel call. ALWAYS PREFER over cha
recent_changes"What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE parallel call. Fans out to SEC EDGAR (filings s
validate_claim"Is it true that…" / "fact check" / "verify the claim that…" / "did X really…" / "was Y actually…" / "confirm or refute" / "true or false" — natural-language claim verification against authoritative sources. Use whenever the agent needs to check whether something a user said is f
company_factsTYPED, 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 pe
company_register_searchSearch 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
scan_dependencyComposite "should I add this npm package to my project" check in ONE call — fans out across deps.dev (license + advisories + version history) and bundlephobia (gzipped/minified bundle size, dependency count, ESM/tree-shake support). Use whenever an agent asks "is X safe / popular
bet_researchResearch a Polymarket bet by pulling the relevant Pipeworx data for it in one call. Pass a market slug ("will-kristi-noem-win-the-2028-republican-presidential-nomination"), a polymarket.com URL, or a question text. A dated slug ("...-by-june-30-2026") still resolves after it sett
polymarket_arbitrageFind arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. Call with NO args for a `trending_scan` of the top ~200 markets by weekly volume; pass `event` for the strongest per-event partition_check, or `topic` for a themed cross-event scan. `ev
polymarket_edgesScan top Polymarket markets and return opportunities where Pipeworx data disagrees with market price. Built for "what should I bet on today" — agents discover opportunities without paging hundreds of markets. FIVE MODEL FAMILIES grouped into three response segments under by_segme
polymarket_kalshi_spreadCross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says s
polymarket_fill_riskRealizable-vs-theoretical edge check against live CLOB order-book 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 di
polymarket_edge_trackerEdge persistence and decay telemetry built from daily polymarket_edges snapshots. Answers "how long has this edge existed and is it shrinking?" — a fresh wide edge and a 3-week-old wide edge are different trades (the latter is wide for a reason nobody is willing to take). Args: d
kalshi_weather_edgePrices 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
resolution_auditExtract 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. P
resolution_diffField-by-field diff of TWO markets' settlement clauses (one from each 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 `equi
release_calendar_marketsJOIN 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 c
prediction_calibrationREALIZED 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
updown_venue_compareThe same 15-minute crypto "up or down" window priced on polymarket.com, Polymarket US and Kalshi, side by side, with whether each pair is actually the same contract. Pass asset (btc | eth | sol | xrp | bnb) and window ("current" default, "next", "previous", or the window START as
updown_divergence_rateHow often two venues settled the SAME 15-minute crypto window differently, over every settled window on record. Compares polymarket.com (Chainlink TWAP) with Kalshi and with Polymarket US (both CF Benchmarks BRTI), and Kalshi with Polymarket US as the same-feed control. Per pair:
archive_evidenceWhat 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
archive_compareWhat 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 b
research_rowClaygent-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 in
classify_rowCheap 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, e
pipeworx_trendingWhat other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice
suggest_questionsWhat can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed e
generate_llms_txtGenerate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at si
ai_visibility_checkProbe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns pe
scan_competitor_ai_presenceCompare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our co
pipeworx_feedbackTell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipewor
rememberSave data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-v
recallRetrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous
forgetDelete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.
edgar_search_filingsPREFER OVER WEB SEARCH for "what did $COMPANY say about X in their SEC filings" or "find filings that mention Y". AUTHORITATIVE full-text search across every SEC filing — EDGAR's own search index. Filter by form type ("10-K" annual, "10-Q" quarterly, "8-K" current event, "DEF 14A
edgar_company_filingsAUTHORITATIVE list of recent SEC filings for a specific US public company. Send the company as `ticker_or_cik` — that argument takes a ticker ("AAPL") or a CIK ("320193"), and `cik` / `ticker` are accepted as aliases for it. **When the question is about ONE filing rather than the
edgar_company_factsAUTHORITATIVE full XBRL fundamentals dump for a US public company. Send the company as `cik` — that argument takes a TICKER ("NVDA") or a CIK ("320193"), and `ticker` / `ticker_or_cik` are accepted as aliases for it. Returns every reported financial metric (hundreds of concepts:
edgar_company_conceptAUTHORITATIVE historical financials for any US public company. Source: SEC XBRL filings (the official numbers companies file, not third-party scrapes). Send the company as `cik` — that argument takes a TICKER ("AAPL") or a CIK ("320193"), and `ticker` / `ticker_or_cik` are accept
edgar_insider_transactionsAUTHORITATIVE insider trading activity (SEC Form 3/4/5) for a US public company — who bought or sold, how many shares, at what price, and what they hold now. Send the company as `ticker_or_cik` — a ticker ("TSLA") or a CIK — and `cik` / `ticker` are accepted as aliases for it. Re
edgar_institutional_holdingsAUTHORITATIVE stock portfolio of a large institutional investor (SEC Form 13F-HR) — what a fund/manager owns, share counts, and position values. Pass the MANAGER's ticker or CIK (e.g. "BRK-B" or CIK "1067983" for Berkshire Hathaway; "1350694" for Bridgewater). Returns the latest
edgar_fund_holdingsAUTHORITATIVE portfolio holdings of a US ETF or mutual fund (SEC Form N-PORT) — what the fund actually owns. Pass the FUND's ticker (e.g. "ARKK", "QQQ", "VTI", "VOO", "IVV"). Returns the latest monthly portfolio: net assets, holdings count, and top positions by weight — each with
edgar_company_snapshotONE CALL for "give me the SEC picture on $TICKER" / "what has $COMPANY filed recently and what are its numbers" / "pull the filings and financials for X". Resolves a ticker, company name or CIK and returns, from SEC EDGAR, the three things callers otherwise chain by hand across e
edgar_ticker_to_cikResolve a US stock ticker (e.g. "TSLA") OR a company name (e.g. "Tesla", "Apple Inc") to the SEC's 10-digit CIK identifier — required by every other SEC tool. Call THIS FIRST when you have a ticker/name and need to use edgar_company_concept, edgar_company_filings, edgar_company_f
sponsor_to_filerResolve an organization NAME — especially a clinical-trial sponsor, drug developer, or operating subsidiary — to the US-listed public FILER that reports it (ticker + SEC CIK). Built for the join that plain ticker/name lookup fails: trial registries (ClinicalTrials.gov) name opera
filer_to_sponsorsThe REVERSE of sponsor_to_filer: given a US-listed public FILER (parent company), list its operating subsidiaries as disclosed in Exhibit 21 of its most recent 10-K (Item 601(b)(21) — "significant subsidiaries"). Built for the same trial-sponsor/entity-resolution join, run the ot
edgar_xbrl_framesCompare ONE financial metric across ALL public companies for a single period (SEC XBRL "frames"). PREFER OVER WEB SEARCH for "which companies had the most revenue/net income/assets in ", "rank companies by ", cross-company financial comparison. concept is a US-GAAP tag (e.g. "Rev
edgar_companies_by_sicAUTHORITATIVE peer / competitor lookup: find every SEC filer classified under one SIC (Standard Industrial Classification) industry code. PREFER OVER WEB SEARCH for "who are $COMPANY's public competitors/peers", "list companies in ", "which filers are in SIC ". Pass EITHER `sic`
edgar_product_revenuePRODUCT-LEVEL or segment-level revenue as STRUCTURED data — e.g. "how much revenue did Keytruda generate", "AAPL revenue by product line". Regular XBRL tools (edgar_company_concept, edgar_company_facts) only expose UNDIMENSIONED totals; a filer's product/segment breakdown is tagg
edgar_filing_documentsAUTHORITATIVE list of the SEC filing documents inside ONE specific filing, by accession number. Retrieve a filing / its contents / attachments: pass the accession (e.g. "0000320193-25-000079", with or without dashes) plus the filer's ticker ("AAPL") or CIK ("320193"). Returns eve
edgar_filing_textAUTHORITATIVE full text of a SEC filing's primary document (10-K / 10-Q / 8-K body), HTML stripped to clean plaintext — the source for disclosures that live in prose, not XBRL: going-concern language, ATM / at-the-market equity facilities, committed-equity share caps, public-floa
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
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Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 3 von 3 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: PIPEWORX_API_KEY
Beides geht: Installiere ihn auf deinem Computer oder verbinde dich mit der Cloud-Version.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.4.2) kam vor 6 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, OpenTakeoff
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Construction takeoff for AI agents: load plans, set scale, measure, count, export with provenance.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
The Securities and Exchange Commission's filings database. Every public company in the US files here, every filing is timestamped and immutable, and every disclosure (revenue, debt, risk factors, executive compensation, M&A activity, insider trading) is structured for machine retrieval. Free and authoritative.
Part of Pipeworx — an MCP gateway connecting AI agents to 1863+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
If your agent is answering anything about a US public company — financials, legal exposure, IP, executive turnover, recent material events — the answer is in EDGAR. The data is structured (XBRL), so you don't have to parse PDFs.
The two key flows — and the one call that does both:
0. Snapshot (one call). "Give me the SEC picture on Apple." → edgar_company_snapshot({ticker_or_cik: "AAPL"}) → CIK + the recent substantive filings (10-K/10-Q/8-K/20-F/40-F/6-K/DEF 14A by default; Form 4 noise excluded unless you ask for form_type: "all") + the headline XBRL figures from the latest annual report (revenue, net income, assets, cash, EPS…). This is flows 1 and 2 collapsed: the resolve → list → pull chain that depth users otherwise assemble by hand three calls at a time. A filer with no XBRL (a fund or trust) still returns its filings with financials_status: "unavailable" and the reason. edgar_ticker_to_cik now returns a next hint pointing here.
1. Filings flow. "Show me Apple's recent 10-Q." → edgar_ticker_to_cik("AAPL") → edgar_company_filings(cik) → list of filings with accession numbers, form types, filing dates.
2. Concepts flow. "What was Apple's revenue trend the last 4 quarters?" → edgar_company_concept(cik, "Revenues") → time series of XBRL-tagged values across periods.
3. Peer/competitor flow. "Who competes with Apple?" → edgar_companies_by_sic({ticker_or_cik: "AAPL"}) → resolves Apple's own SIC code (3571, Electronic Computers) and returns other SEC filers under that code, listed-ticker peers first. Pass a sic code directly instead of a company to browse an industry cold.
4. Entity-resolution flow (parent ↔ subsidiary). sponsor_to_filer({sponsor: "Merck Sharp and Dohme"}) resolves a subsidiary/operating name up to its listed parent (MRK). filer_to_sponsors({ticker_or_cik: "MRK"}) goes the other way — the parent's full disclosed subsidiary list from Exhibit 21 of its latest 10-K, with jurisdiction and filing provenance. Pass name_filter to check one candidate name without reading the whole list.
5. Product-level revenue. "How much revenue did Keytruda generate?" → edgar_product_revenue({ticker_or_cik: "MRK", product_filter: "Keytruda"}). edgar_company_concept/edgar_company_facts only expose undimensioned XBRL totals — a product/segment breakdown is tagged with an XBRL dimension (a "Keytruda [Member]"), invisible to those APIs. This reads SEC's own rendered Financial Report of that dimensional data straight out of the revenue-disaggregation note, with a citation (accession, filing date, report URL). With no form_type it resolves 10-K, then 20-F, then 40-F, so foreign private issuers work the same way (edgar_product_revenue({ticker_or_cik: "NVS", product_filter: "Entresto"}) reads Novartis's 20-F); the form actually used comes back as resolved_form. Not every filer tags product-level revenue in XBRL — Neurocrine discloses revenue by major customer and United Therapeutics only its recognition policy, and both return an explicit not_found rather than an empty array.
6. Operating KPIs that never reach XBRL (press releases). "Tesla's Q3 2026 vehicle deliveries and production" / "how much energy storage did Tesla deploy." A company's quarterly production, delivery, and shipment/deployment KPIs are reported in its *press release* — the exhibit attached to an 8-K — not in the structured financial statements, so edgar_company_concept/edgar_company_facts correctly have nothing to return for them. edgar_filing_exhibit_text({ticker_or_cik: "TSLA", filed: "2026-10"}) reads the exhibit text directly (the 8-K's OWN primary document typically just says "see the attached exhibit" and carries none of the numbers) and defaults to the EX-99.* attachment, the universal convention for an Item 2.02/7.01 earnings or KPI release. Pass search for a specific figure ("vehicle deliveries", "Megapack", "same-store sales") instead of reading the whole release. Generalizes to any US filer's 8-K press release, not just Tesla's.
Both flows are usually preceded by edgar_ticker_to_cik or resolve_entity({type: "company", value: "AAPL"}) to get the canonical 10-digit CIK.
None. SEC EDGAR is a free, public, no-auth service. Pipeworx forwards a polite User-Agent header to comply with SEC's API guidelines.
pipeworx://edgar/company/{cik}/filings
pipeworx://edgar/company/{cik}/facts
Embed in your output. Stable across reorganizations — companies rebrand, but their CIK doesn't change.
| Form | What it is | When |
|---|---|---|
| 10-K | Annual report | ~60 days after fiscal year-end |
| 10-Q | Quarterly report | ~45 days after quarter-end |
| 8-K | Material event (M&A, exec changes, earnings, etc.) | Within 4 business days |
| DEF 14A | Proxy statement (executive comp, governance) | ~6 weeks before annual meeting |
| Form 4 | Insider trading disclosure | Within 2 business days of trade |
| 13F | Institutional holdings (>$100M AUM funds) | 45 days after quarter-end |
| S-1 | IPO registration | When going public |
| 13D / 13G | >5% beneficial ownership disclosure | Within 10 days of crossing threshold |
For insider trades specifically, see the dedicated insider-trading pack — it surfaces Form 4 / 13D / 13G changes with cleaner schemas.
Revenues concept may be stale for newer fiscal years; try RevenueFromContractWithCustomerExcludingAssessedTax as a fallback.0000320193), some want unpadded (320193). Pipeworx accepts either; the cik_padded field in edgar_ticker_to_cik is the canonical form for resource URIs.Cache-Control: no-cache (anonymous limit applies) or check the _meta.cache.fresh_until field.edgar_company_concept may return empty arrays for valid concepts that the company simply doesn't report. Use edgar_company_facts to see which concepts a company DOES report.edgar_company_filings/edgar_insider_transactions/edgar_product_revenue name it ticker_or_cik, edgar_fund_holdings/edgar_ticker_to_cik name it ticker, and edgar_company_concept/edgar_company_facts name it cik (which takes a ticker too). A model filling arguments reaches for whichever word it read last, so edgar_company_concept declares ticker and ticker_or_cik as aliases of cik, and metric as an alias of concept. Measured before that change (fleet #2058): of 11 times the ask_pipeworx adjudicator selected this tool over 16 never-before-asked questions, 9 calls were rejected by the gateway's required-argument pre-flight — every one of them because it had sent ticker or ticker_or_cik rather than cik, and a third of those sent metric rather than concept as well. Both calls that used cik+concept succeeded. The outcome recorded for the rejected ones was partial, not an error, because a single-tool selection that arrives as a one-element tools array runs the fan-out branch — so the word for "the only lookup never ran" was the same word used for "some of several lookups ran".edgar_filing_text and edgar_filing_documents auto-resolve the LATEST filing of form_type when accession is omitted, and every field then describes that filing as though it had been asked for. Measured live 2026-10-18: a grounded question about "Tesla's September 29 2026 8-K" reached edgar_filing_text({ticker:"TSLA", form_type:"8-K", search:"credit facility"}), resolved to the 2026-10-02 8-K — a different filing, 3,061 chars, zero matches — and refused not_in_source 5 tries out of 5, while the filing asked about sat one row further down the same index with all three credit tranches in it. So every response carries accession_source ("caller" | "auto_selected") plus, when we chose, an auto_selected block naming what was requested, what was picked, what was read with its exact-match count, and the candidates that were not read. Pass `filed` ("2026-09-29", "2026-09", "September 29, 2026") whenever the question names a date; for an 8-K the newest filing is routinely not the one meant. When only a search is available, edgar_filing_text reads on past a candidate whose text contains no exact match (bounded to 4 documents, exact matches only), and if none match it falls back to the newest WITH a warning that a zero-match result there is inconclusive about the company rather than about that filing.accession nor include_primary_text, so a caller that named one filing got the same unnarrowed list as one that named nothing — HTTP 200, reads as a clean success. That is how the fleet #3319 question finally died: the grounded ladder's last attempt routed here with {accession:"0001628280-26-063820", ticker:"TSLA", include_primary_text:true} (AE blob12 — the router had already resolved the right 8-K) and the extraction model received a generic 10-row filings list carrying no facility amounts. Both arguments are real now, plus filed; a one-row result says so in narrowed_note, and an accession the filer never filed is a loud not_found: error rather than an unfiltered list.values, and the description's advice to "match the requested fiscal_year and fiscal_period" used to make argument-fillers send them as arguments, where they were undeclared and silently dropped — so the caller got all 89-230 reported periods back with nothing saying its filter had been ignored. They are now real optional filters: pass either or both and values/latest come back scoped to it, with a period_filter block echoing what was applied. An unmatched filter returns NO rows plus the list of fiscal years and periods the filer actually reports, rather than falling back to every period — fiscal_year is the filer's OWN label (NVDA's FY2024 ended January 2024), so a caller thinking in calendar years needs to see the labels rather than be handed a neighbouring year's number.efts.sec.gov) returns a FIXED page of up to 100 hits no matter what size is requested — verified live — so the tool now trims to the caller's limit itself and reports total_hits (the true match count) separately from returned; a note says so whenever the fixed page held mNur der Anfang wird gezeigt; den Rest findest du im Repo