DutyKit
EU business duties for AI agents: legal obligations with sources and pre-checks (DE, LU, EU)
Beschreibung vom Entwickler (englisches Original)
us-elections -- U.S. election results by state, district, county and precinct (fleet #2952…
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
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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/us-elections/mcpÖffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"us-elections": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-us-elections"
],
"env": {
"PIPEWORX_API_KEY": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add --transport http us-elections https://gateway.pipeworx.io/us-elections/mcpclaude mcp add us-elections --env PIPEWORX_API_KEY=your-value -- npx -y @pipeworx/mcp-us-electionsTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"us-elections": {
"url": "https://gateway.pipeworx.io/us-elections/mcp"
}
}
}In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"us-elections": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-us-elections"
],
"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": {
"us-elections": {
"type": "http",
"url": "https://gateway.pipeworx.io/us-elections/mcp"
}
}
}In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"us-elections": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-us-elections"
],
"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/us-elections/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 7. 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 7,181 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 7,181 across 1864 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 1864 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.
election_resultsCandidate-level U.S. election results for one state, year and office, at state, county, or precinct granularity. State-level President and Senate cover every state 1976-2024, including 2020 and 2022 (MIT Election Data + Science Lab / MEDSL, Harvard Dataverse, CC0). Official FEC d
election_race_summaryAggregated summary of a U.S. election race -- total votes, each candidate's vote share, the winner and the winning margin -- for one state/year/office. Uses the most aggregated level actually available for that race: a statewide/district number when MEDSL or FEC data covers it (P
list_electionsList the state/year/office combinations this pack actually holds data for, and at which levels (state/county/precinct). Pass state to scope the listing to one state; omit it to see full coverage. Use this before election_results or election_race_summary to check whether a given s
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Beides geht: Installiere ihn auf deinem Computer oder verbinde dich mit der Cloud-Version.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.2.1) kam vorgestern 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: DutyKit, Agent Data Tools: Company, compliance and checks, Agent Data Tools
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EU business duties for AI agents: legal obligations with sources and pre-checks (DE, LU, EU)
38 tools: OFAC sanctions, counterparty checks, company, domain, email. 25 free calls.
641 agent tools: chain data, prices, sanctions, web, PDF. 25 free calls, then from $0.002.
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.
U.S. election results — candidate-level vote counts for President and U.S. Senate by state (every state, 1976-2024); official FEC district-by-district U.S. House results for the 2020 and 2022 general elections nationwide (the ungated alternative to MEDSL's guestbook-gated House file); and county- (13 states) and precinct-level (Pennsylvania, Michigan) detail for President, Senate and U.S. House in the 2024 general election. Fleet #2952, extended fleet #2958.
Part of Pipeworx — an MCP gateway connecting AI agents to 1866+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
election_results(state, year, office, level?, county?, district?, limit?, offset?) — candidate-level results for one state/year/office at state, county, or precinct granularity (default county). Pass county to scope a county- or precinct-level query to one county, or district (e.g. "09") to scope a House race to one district. Each row carries candidate, party, votes, the race total and vote share, plus source, source_url, license and data_as_of. A combination with no data returns a loud not-found naming which levels actually exist, never an empty success.election_race_summary(state, year, office) — aggregated totals, vote share, winner and margin for a race, computed from the most aggregated level actually available (statewide when covered, otherwise summed from whatever county/precinct detail exists). A district office (House) returns one summary per district.list_elections(state?) — the state/year/office combinations this pack actually holds, and at which levels. Call this first to check coverage before querying a specific race.State accepts a postal code ("PA") or full name ("Pennsylvania"), case-insensitive. Office accepts "president", "senate", or "house" (and common synonyms like "POTUS", "U.S. Senate").
Keyless. The tools answer only through the Pipeworx gateway, which holds the data; a standalone npm install has no data to read, and every tool throws a clear "not bound in this runtime" error there instead of returning an empty list.
election_race_summary. See load-data.mjs.) Licence: public domain (U.S. government work, 17 U.S.C. 105). No login, key or guestbook — served as a plain xlsx download off fec.gov.openelections-core) is MIT, and the underlying figures are county/state election-board certified vote counts — public election records. No terms were found forbidding reuse, so this pack builds a copy per Pipeworx's rule for a source that only publishes bulk files: build it, and flag it, when the terms are silent.MEDSL's own county-level and House files are gated, not just unbuilt. MEDSL's canonical "County Presidential Election Returns 2000-2024" dataset and its "U.S. House 1976-2024" dataset (both on Harvard Dataverse) are gated behind a mandatory guestbook (name, email, institution and position all required) with no documented API bypass — every file-download call for those two datasets returns *"You may not download this file without the required Guestbook response for guestbookID 458"*, for anonymous and authenticated access alike. This is an access wall, not a robots.txt question, so the loader does not attempt to automate past it (CLAUDE.md "Authentication or payment walls" is the applicable carve-out, even though no persistent account is created — a mandatory identity-collection form blocking machine access is the same shape). The FEC's own official House-by-district file (above) is the ungated replacement for the cycles FEC has published so far (2020, 2022). If a person fills the MEDSL guestbook form by hand and hands the resulting file to this pack anyway, scripts/us-elections/load-data.mjs can load it directly — the schema already has the right shape (level = 'county', office = 'HOUSE').
FEC has not yet published a compiled "Federal Elections 2024" edition. Checked live 2026-10-13: fec.gov/.../federal-elections-2024/ 404s and 2024 is absent from fec.gov's own year index (2022 is the newest). This is normal publication lag (the 2022 edition itself was not compiled until 2023), not a gate — re-run the loader once FEC ships it. The two 2024-specific files FEC has published today don't substitute: 2024presgeresults.xlsx is state-level President only with no party column, and 2024congressgecands.xlsx is a House/Senate candidate roster with no vote counts at all.
County/precinct coverage is 15 states, not fifty. OpenElections publishes one repository per state with its own column layout (there is no single national file at this granularity). Surveyed 2026-10-13 against every openelections-data- repo's 2024/ directory via gh api: the 13 new states above (plus the original PA/MI/GA) are the ones with a single clean general-election county or precinct CSV matching this loader's column assumptions (county,office,district,party,candidate,votes, optionally with a precinct column). States left out because their 2024 directory splits by office or by county into many small files, or has no single general-election file at all: AZ, CT, IN, NH, NJ, NY, RI, TX, WY (checked), and every openelections-data- repo not listed above (not individually checked — most have no 2024/ directory at all). Adding a clean-shaped state is mechanical (one more entry in COUNTY_STATES or PRECINCT_TO_COUNTY_STATES in the loader); a messier one needs its own column mapping, same as PA/MI/GA's oeState() calls did originally.
State legislature and Governor races are not loaded. The task's suggested scope mentioned them; they are left out to keep the row count and column-mapping work bounded. U.S. House is loaded for FEC's 2020/2022 cycles nationwide, and for 2024 only in the states above (where OpenElections' per-state files include it) — not nationally for 2024 (MEDSL's national House file is the gated one above, and FEC's 2024 edition is not out yet).
CO/MO/OR/SC/KY are county-level only in this pack, despite the source being precinct-level. Their raw federal-office precinct rows run 21k-64k each (~218k combined); only the county rollup (<2,500 rows each) is stored, to keep load volume and default response size bounded. This is a volume tradeoff, not a parsing limit — extend load-data.mjs to also keep level === 'precinct' rows for any of them on request, same as PA/MI.
Re-run node scripts/us-elections/load-data.mjs (needs wrangler logged in to the Pipeworx Cloudflare account, and CLOUDFLARE_ACCOUNT_ID set when more than one account is visible) — it re-fetches every source live and replaces the election_results/sources tables (DROP + reload), because MEDSL, FEC and OpenElections all correct historical rows rather than appending to them. To add an OpenElections state, add an entry to COUNTY_STATES (file already at county level) or PRECINCT_TO_COUNTY_STATES (file at precinct level, rolled up) if its file matches the standard column shape — otherwise write a direct oeState({...}) call with that state's own column names (see the PA/MI/GA calls for the two bespoke shapes seen so far).
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": { "us-elections": { "url": "https://gateway.pipeworx.io/us-elections/mcp" } } }
tools/list at https://gateway.pipeworx.io/us-elections/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": { "pipeworx": { "url": "https://gateway.pipeworx.io/mcp" } } }
Both URLs reach the same gateway and the same 1866+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.
curl -X POST https://gateway.pipeworx.io/v1/tools/election_results \
-H 'Content-Type: application/json' \ -d '{"state":"PA","year":2024,"office":"president","level":"county"}'
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/election_results. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
@pipeworx/mcp-us-elections is a local stdio bridge to the Pipeworx gateway: your MCP client starts it with npx, and it forwards every call to the same https://gateway.pipeworx.io/us-elections/mcp endpoint shown above. It needs network access; there is no offline mode.
{
"mcpServers": { "us-elections": { "command": "npx", "args": ["-y", "@pipeworx/mcp-us-elections"] } } }
Without a key it calls anonymously, capped at 50 calls a day. A free account raises that to 200 a day: get a key at https://pipeworx.io/signup and add "env": { "PIPEWORX_API_KEY": " " } to the server entry. The key is sent as a Bearer token, the same way a hosted connection sends it, so calls are metered and billed exactly as they are there.
It lists only this pack's tools by default. Set PIPEWORX_META_TOOLS=1 to also list ask_pipeworx and the other gateway-wide tools.
Behind an HTTPS proxy: Node's built-in fetch does not read HTTPS_PROXY by default. Newer Node releases honour it when NODE_USE_ENV_PROXY=1 is set; check your Node version's documentation.
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Us Elections data" })
The gateway picks the right tool and
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