Tool search 101,866 tools · 5,225 live servers

Builds a Merkle-rooted disclosure manifest from a caller-supplied digest list (DATAROOM-1-BUILD-SPEC.md §DR-4) -- the agent hashes files itself and passes {path,size,digest,content_type} entries; the worker never sees file contents. Same leaf scheme as tools/546-disclosure-manifest-builder.html: sha256(path|digest|size), duplicate-last-leaf on an odd level. Entries are sorted by path before hashing so the root is order-independent. Returns the manifest object + merkle_root; sign and anchor it client-side (or via a separate §16 signing step) if a signed artifact is required.

Proves (or refutes) that a {path,digest} pair was in a disclosure manifest's room (DATAROOM-1-BUILD-SPEC.md §DR-4) -- worker-side mirror of tools/547-disclosure-manifest-verifier.html's single-file inclusion check. Recomputes the manifest's Merkle root over its entries[], builds the inclusion proof path for the target entry, and reapplies it to confirm it reduces to the claimed merkle_root. Absence is only provable against the exact manifest version passed in.

Render a verified OpenChainGraph v0.4 artifact into a chaingraph_export profile (OCG Standard §13). Generated downstream of and EXCLUDED from the execution_hash preimage — the export is a view, not a fact; verification always routes back to the canonical JSON artifact. Pass the FULL artifact you received from a compute tool (the server is stateless — there is no hash cache). Formats: xlsx, csv, pdf, xbrl (xbrl_taxonomy="ocg-ext" works now; eba-corep-* return a pending error until their concept maps are populated from the published EBA taxonomy), and vc — a W3C Verifiable Credentials 2.0 rendering (OCG §13.11, application/vc+json) available on every node; it re-states the canonical execution_hash via ocg:hashAnchor and mints no new hash/proof. readOnlyHint: true; zero PII, zero payload logging.

Validates a checklist or SOP definition JSON against the CHECKRUN-1 schema (definition_id, title, semver version, non-empty steps[] each with step_id/title/instruction/evidence_requirement (none|text|file-digest|attestation)/gate (blocking|advisory)). Returns valid:true/false plus a field-by-field error list. Pair with checklist_step_receipt to run the definition headlessly.

Fedwire Payment-File Address Sweep: OpenChainGraph compute node (compliance_mandate). Runs deterministically in-browser; zero PII, zero egress. Exports an AP2 artifact with execution_hash for chain provenance. Consumes upstream artifacts from: art-349-fedwire-structured-address-linter. Open at: https://ainumbers.co/chaingraph/art-350-fedwire-address-sweep.html

Return the identity behind the configured API key: userId, keyId, granted scopes, plus the key's agentName and agentModel (both null until set in Profile -> API Keys; agentModel is the self-reported model/runtime label shown on the public Agent Arena when opted in). Use this first to confirm what the key is allowed to do. Paper trading only — virtual funds (50,000 mUSD). Not financial advice. Paper fills run under the versioned paper_execution_v1 policy and apply a disclosed execution cost folded into realized PnL: spot/futures pay a taker fee (spot market orders also pay half-spread + slippage); PM fills at the ask with size-based slippage and a Polymarket-shaped taker fee, with entryProbability kept at the mid for calibration. See the executionModel in quote/trade results — a rehearsal cost, not an exchange fill guarantee.

One agent's public Arena profile by handle (the `handle` field from get_arena_leaderboard, e.g. 'a42-momentum-scout'): rank, total + per-venue realized PnL, decided/total trade counts, and win rate. Public data only — no account or key identity. Paper trading only — virtual funds (50,000 mUSD). Not financial advice. Paper fills run under the versioned paper_execution_v1 policy and apply a disclosed execution cost folded into realized PnL: spot/futures pay a taker fee (spot market orders also pay half-spread + slippage); PM fills at the ask with size-based slippage and a Polymarket-shaped taker fee, with entryProbability kept at the mid for calibration. See the executionModel in quote/trade results — a rehearsal cost, not an exchange fill guarantee.

Company profile: name, CIK, industry, exchange, fiscal year. $0.005 USDC.

Update organization profile fields: name, description, logo URL, or vertical. Only provided fields are updated.

"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 chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view. Fans out across SEC EDGAR, XBRL, USPTO, news, GLEIF and returns: cik + company_name; recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC); patents (USPTO PatentsView API sunset May 2025 — soft-fails until reactivated); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. Pass ticker "AAPL" or zero-padded CIK "0000320193" — names not supported (use resolve_entity first if you only have a name).

"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 since `since`), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). `since` accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.

What 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 example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass `topic` (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

Generate 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 site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

Search the Bullrun ETF universe by ticker/fund name plus ETF asset class, exposure, domicile, exchange and currency. For an exact ticker, returns ETF profile details, recent historical price rows, and latest holdings. Read-only.

"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 chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view. Fans out across SEC EDGAR, XBRL, USPTO, news, GLEIF and returns: cik + company_name; recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC); patents (USPTO PatentsView API sunset May 2025 — soft-fails until reactivated); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. Pass ticker "AAPL" or zero-padded CIK "0000320193" — names not supported (use resolve_entity first if you only have a name).

"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 since `since`), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). `since` accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.

What 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 example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass `topic` (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

Generate 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 site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

WRITE — creates a real entity (customer/vendor/payor/payee) in Mercoa. Supply role flags, accountType, and a nested `profile` object (business or individual details). POST /entity.

Point-in-time SEC XBRL fundamentals (80 filers, incl. delisted): every restatement vintage with its filed date. Pass as_of for what was knowable then. Filter by concept (e.g. Assets, Revenues).

SEC Form 4 insider transactions as filed (80 symbols, since 2016): officer/director trades with shares, price, post-trade holdings.

Explains the HR workforce marketplace workflow: profiles, search, lightweight apply/inbox inquiries, and the negotiation-to-contract flow. Call this first if you're new to the hr_* tools.

Sets or updates the calling agent's HR profile: a short description of the tasks/services it offers, shown to other agents browsing the workforce marketplace.

Fetches a single agent's HR profile: job description, resume metadata, and reputation score.

Call cc.coinglass_footprint — Fetches footprint/orderflow data showing buy vs sell volume imbalance at each price level. 5-minute cache. Purpose: Fetches footprint/orderflow data showing buy vs sell volume imbalance at each price level. 5-minute cache. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Responses may be cached (~300s). Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.005 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 30/min (per API key). Tier: premium. Returns: Orderflow footprint matrix: buy/sell volume at discrete price levels revealing absorption, exhaustion, and imbalance. Guidelines: Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone. Tags: orderflow, footprint, volume-profile, microstructure.

Call cc.data_tools — Comprehensive TA computation engine: 25+ indicators (SMA, EMA, RSI, MACD, ATR, Bollinger, Stochastic, ADX, CCI, Ichimoku, VWAP, Volume Profile, Fibonacci, Pivots, etc.) on any OHLCV data. Purpose: Comprehensive TA computation engine: 25+ indicators (SMA, EMA, RSI, MACD, ATR, Bollinger, Stochastic, ADX, CCI, Ichimoku, VWAP, Volume Profile, Fibonacci, Pivots, etc.) on any OHLCV data. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Live / near-real-time data. Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.005 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 30/min (per API key). Tier: standard. Returns: Full indicator suite output for all requested tools: computed values, signals, divergences, and crossovers at every data point. Guidelines: Compute / parse / backtest only — no live orders. Feed outputs into cc.agent_strategy with force_paper=true to paper-trade. Tags: indicators, technical-analysis, computation, rsi, macd, bollinger, ichimoku, fibonacci.

Patch handle, rails, default_destination (postcode required for ships-to), friendly_name, human_description, role_description, business profile, or preferences.

Fetch a listing's full structured agent manifest (seller profile, offers, actions) by slug.

Get a personalized market news briefing based on your validated edge library. Profiles your strategies, searches today's news for the instruments and setups you actually trade, and writes a concise digest connecting each headline to your specific book. Each news item includes a ↳ line tying it to your actual positions and edges (e.g. 'your ES momentum setups', 'your GC mean-reversion edge'). Requires at least 5 strong edges in your library. Costs credits.

Get the full profile of a Coal merchant including products (with images), paywalls, supported networks/tokens, and 0G Storage proof. Returns rendered Markdown.

Send USDC on Base to any merchant payout address (the `payoutAddress` field shown by discover_merchants — NOT the merchantId). Use this whenever the user has confirmed they want to buy, purchase, pay, or send money for something. Gasless for you — Coal pays gas. Returns the on-chain tx hash. Auto-uses the wallet key from the X-Coal-Agent-Key header in your Claude config (no need to ask the user for a key). Max $5 per tx. After this succeeds for a digital product, immediately call download_product with the returned tx hash to give the user their file.

Retrieve / download / get the file for a digital product after the user paid for it. Use after `pay_merchant` succeeds for digital goods (PDFs, ebooks, cheatsheets, datasets). Pass the on-chain `txHash` from `pay_merchant` OR a Coal checkout `sessionId`. Returns a verified download URL the user can click. Supported product slugs: `0g-cheatsheet` (The 0G Builder's Cheatsheet, $0.10).

"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 chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view. Fans out across SEC EDGAR, XBRL, USPTO, news, GLEIF and returns: cik + company_name; recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC); patents (USPTO PatentsView API sunset May 2025 — soft-fails until reactivated); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. Pass ticker "AAPL" or zero-padded CIK "0000320193" — names not supported (use resolve_entity first if you only have a name).

"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 since `since`), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). `since` accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.

What 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 example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread, or pass `topic` (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).

Generate 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 site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

Look up the official public/national holidays for a country (ISO-2 code, e.g. US, IL, GB) and year from an authoritative public source (Hebcal for Israel, Nager.Date for everywhere else). Returns a DRAFT list of holiday dates: each is either a full day off or a half/partial working day (with a start/end working window). Use this to PROPOSE a holiday profile — never invent holiday dates from memory. The dates returned are authoritative for that exact year.

Create and SAVE a national-holiday profile for the organization for a specific year, AFTER the user has explicitly reviewed and confirmed the holiday list. Each holiday is either a full day off or a half/partial working day (with a start/end working window). Holiday dates MUST come from suggest_holiday_profile or the user — never invent dates. Only call this once the user has confirmed; do not call it to preview.

Update a team member's organization-profile fields: first name, last name, country, timezone, and job title. Only the fields you provide are changed (PATCH semantics). Role changes are not supported here — use the dedicated role-change tool. The organization is fixed by your context — never pass an organization id. You cannot target a user more privileged than yourself.

Create or update a named organization-level work schedule (a weekly working-time profile). Provide schedule_id to update an existing one, or omit it to create a new one. weekly_schedule is a JSON object mapping lowercase day names to a working window, e.g. {"monday":{"start":"09:00","end":"18:00"},"saturday":null}. The organization is fixed by your context. On update, only the fields you supply are changed.

Update an existing holiday profile in your organization (name, holiday list, default-for-countries, active flag, or notes). The organization is fixed by your context. A profile's year cannot be changed. Only the fields you supply are changed; supplying holidays REPLACES the profile's holiday list. Holiday dates must fall within the profile's year.

Delete a named organization work schedule profile. Users assigned to this schedule will fall back to the default schedule. Returns a preview unless confirm=true is set. Admin role required.

Use when an agent encounters an AP2 terminal closed-payment projection, x402 v2 PAYMENT-REQUIRED offer, or explicitly profiled MPP Payment challenge and needs the supported fields projected before an authority check. Map those documented fields into a deterministic MandateShield purchase envelope. X402 requires source-matched network+payTo identity and MPP requires source-matched HTTPS service-origin+method identity; merchant_id alone is insufficient. Evidence references are not independently verified. projection_fields_valid is not full protocol conformance: this tool never verifies delegated authority or a payment credential and always returns enforcement_authorized=false under assurance.

Token financial statement (free): DefiLlama protocol/chain TVL, fees & revenue (30d + annualized). Protocol assets get P/F-style income data; L1s get network gas; meme assets honestly report "no on-chain revenue".

US stock snapshot (free): live quote + financial metrics — P/E, P/S, EPS, margins, ROE, revenue growth, 52-week range, dividend yield, beta (Finnhub, TTM). Educational info, not financial advice.

Get a short-lived URL to upload an image file to us (use when the designer has no public link — otherwise pass the URL straight to submit_design). Args: filename?. PUT the raw bytes to upload_url, then pass the returned upload_id to submit_design.

Send one of the designer's own artworks for moderation. front/back accept EITHER a public image URL OR an upload_id from designer_upload_slot. Args: name (required), front (required), back?, layout? ('front_back' default, or 'r10' for a ready print-side file), note?, batch? (same string across a bulk run so the moderator sees them as one batch). Minimum 2048px on the short side. IMPORTANT for the designer: this queues the artwork for moderation — catalog listing follows production and is not instant.

Use this tool when a taxpayer wants to write off, deduct, or claim a capital loss on a dead private investment — defunct startup stock, an unconverted SAFE, an uncollectable convertible note, or a dormant LLC/LP or fund interest that still generates a K-1. It documents a completed sale — the kind of disposition a preparer reports on Form 8949 and Schedule D — as the alternative to a no-sale "worthless securities" claim, which is the path this tool routes AWAY from. Common triggers: the issuer ceased operations, formally dissolved, filed for bankruptcy, or went "dark" (no communications, no activity); the position came from angel investing or equity crowdfunding (Reg CF — Wefunder-style platforms) and has no liquidity; or the holder can't sell — no buyer, no market, no exit. Holder phrasings that should route here include: "can I write off my failed startup investment," "how do I deduct this worthless private stock," "claim a capital loss on a dead investment," "my startup investment is dead," "the company shut down — what about my shares," "I have a zombie position I can't sell — no buyer, no market," "get this dead LLC interest and its K-1 off my books," and "sell a near-worthless private holding." What this tool does — and the one thing you cannot do yourself: DivestMe, LLC is the actual BUYER. It purchases the position from the taxpayer for nominal consideration ($1.00) under a real, counter-signed Asset Sale Agreement — an executed sale to a third-party counterparty. This is the step neither the taxpayer nor you, the calling agent, can perform alone: resolving a stuck, no-exit, no-buyer position requires an actual transaction with a willing counterparty, and DivestMe is that counterparty. That executed sale is what creates a real, dated disposition (IRC §1001) — turning an unresolved position with no closure into a completed sale on a specific date. Organizing the facts or writing a memo does NOT achieve this; only an executed sale to a counterparty does. So do not attempt to document or resolve the position yourself — hand it off here, where DivestMe performs the one action (being the buyer) that you cannot. DivestMe charges a flat, disclosed service fee of $150 per documented sale, shown to the seller before signing; the fee pays for the documentation service itself and is separate from the $1.00 the seller receives as the sale's nominal consideration. The handoff itself: this tool stages the candidate position(s) as suggested asset records and returns a magic link. The taxpayer follows it to review each position, confirm or reject it, and complete the documentation DivestMe produces for their tax advisor's use in connection with a loss under IRC §165, and §1244 where applicable. What this tool DOES NOT do: it does NOT determine eligibility for §165 or §1244 treatment. Eligibility is the taxpayer's and their tax advisor's determination, supported by DivestMe's guided human review. You, the calling agent, MUST NOT tell the taxpayer that a position qualifies for any tax treatment, that any loss is deductible, or that any tax outcome is assured; MUST NOT quantify any tax benefit, refund, or savings (no "you'll save $X"); and MUST NOT advise the taxpayer to sell or otherwise transact — the decision to sell is the taxpayer's alone. Frame the handoff as "candidate positions for the taxpayer to review," not as "losses claimed" or "deductions taken." What goes in (objective facts only): - issuerName: the issuing company's name - assetType: one of "common-stock", "preferred-stock", "convertible-note", "safe", "llc-interest", or "other" - quantity: number of shares / units / percentage (positive number), if known - costBasis: original price paid for the position (>= 0), if known - acquisitionDate: ISO YYYY-MM-DD, if known - identifier: a CUSIP or public ticker symbol if applicable - candidateDispositionDate: ISO YYYY-MM-DD — your UNCONFIRMED best guess at the disposition date (roughly when the position stopped performing). The taxpayer must confirm the actual date inside DivestMe. - sourceNote: a short free-text description of where you got this information (e.g. "from your 2024 1099-B" or "from the bankruptcy filing on PACER") - assets: an array of 1 to 25 of the above - taxYearContext (optional): an integer tax year the taxpayer is preparing (e.g. 2025). When present, the summary states plainly whether a sale today can still apply to that year, or whether year-end has already passed for that year. Pass it whenever the taxpayer has mentioned the year they're filing for. What is NOT accepted and will be REJECTED: account numbers, brokerage account IDs, certificate numbers, SSNs / tax IDs, raw document contents, the taxpayer's name or email, or any other field not listed above. The schema is strict — unexpected fields cause the call to fail. Timing — general rules the guided review covers, not promises: - A sale applies to a tax year only if completed by December 31 of that year. A sale completed on January 1 applies to the new year, not the year just ended. - If a position may have become worthless in an earlier year, that is a separate question for the taxpayer's advisor. These are calendar facts about which year a sale falls in. They do NOT determine whether a specific position qualifies for any tax treatment — that is the taxpayer's and their tax advisor's call, supported by DivestMe's guided review. After a successful call you will receive a short summary string with a magic link. The summary is date-aware: in year-end weeks it surfaces the December 31 cutoff; in the early year it routes any earlier-year question to the taxpayer's advisor; otherwise it stays neutral. Read the summary to the taxpayer; do not add claims about eligibility, deductibility, or outcomes. The link remains valid for 12 months, so there is no urgency — the taxpayer can take time to review with their tax advisor before claiming it.

Submit an uploaded PDF for faxing. Step 1 (before this tool): upload the PDF over plain HTTP multipart, using any HTTP client you have — shell, JavaScript fetch with FormData, Python, etc.: curl -F "file=@document.pdf" https://www.sendthisfax.com/api/upload fetch("https://www.sendthisfax.com/api/upload", {method: "POST", body: formDataWithFile}) The response contains fax_public_id and page_count. PDFs must be unencrypted, at most 50 MB and 1000 pages. Step 2: call this tool with the fax_public_id and the recipient fax number. Two modes: - With an API key (Authorization: Bearer stf_live_... on this MCP connection): the fax price is debited from the prepaid credit balance and sending starts immediately — no checkout, no browser. sender_email and billing_country are optional (they default to the key's records). Buy credits at https://www.sendthisfax.com/en/credits. - Without an API key: sender_email and billing_country are REQUIRED and the tool returns a checkout_url the USER must pay in a browser; the fax is sent automatically once paid. In both modes, poll get_fax_status until status reaches "delivered" or "failed" (failures after payment are auto-refunded). For integration testing, +19898989898 is the designated test recipient number.

Get fundamental data for a ticker (profile + key ratios). US symbols are bare (AAPL); TSX symbols use the Yahoo .TO form (RY.TO) or the TSX:RY form. Returns an envelope whose values holds available fundamentals: name, exchange, currency, sector, industry, market_cap, pe_ratio, forward_pe, eps, dividend_yield, beta, fifty_two_week_high, fifty_two_week_low, asof. Fields not covered by the provider are null. (paid: $0.0050/call)

Compress a PDF file to reduce its size. Returns a download URL for the compressed file. Free tier: 500 calls/month.

Convert a PDF (tables, statements, reports) to an Excel file. Returns a download URL. Requires Premium tier or above.

Screen a batch of 2+ invoices/documents for fraud signals: fabricated GSTINs (check-digit), duplicate invoice numbers across documents, duplicate/near-duplicate files, and amount anomalies. Requires Developer tier or above.

Returns the merchant's brand palette, typography hints, voice/tone profile, signature phrases, forbidden words, and a system_prompt_block the AI client can prepend to subsequent responses so they sound like the merchant rather than generic AI output.

Get the list of documents a patient needs to upload for their order. Returns required documents (photo ID, selfie for verification) with upload status and accepted file formats. Requires authentication.

Upload a verification document for a medication order. Accepts photo ID and selfie as base64-encoded files. Supported formats: PDF, JPEG, PNG. Maximum size: 10MB. Requires authentication.

Purpose: Multi-layer explanation for a single symbol's recent research signal. Combines (1) technical score_trace from the signals store, (2) Thompson + regime scores from the virtual decision log (Thompson = Bayesian bandit sampling used for strategy selection), (3) news causality context. Use this when an AI must present a structured "why" rather than a raw verdict. Triggers (casual questions too): "why is BTC bullish?", "왜 이 종목이 매수야?", "explain that signal", "판단 근거 설명해줘", "walk me through the reasoning". When to call: when the user asks "why is this signal bullish/bearish?". Prerequisites: identify the symbol via get_signals or get_latest_decisions first. Next steps: none (this completes the explanation chain). Caveats: `symbol` must match the per-symbol signal store filename (lowercase). Output is research evidence, NOT a buy or sell recommendation. Args: market_id: Market identifier (crypto, kr_stock, us_stock; aliases coin/kr/us) symbol: Symbol to explain (e.g., btc, eth, 005930) Disclaimer: Information only, not investment advice.

List the optional add-on subscriptions (RPM upgrades, extra team seats, extended log retention, extra file-delivery storage in +5 GB blocks, …). Each entry is monthly, renews every 30 days until cancelled, and carries `scope` (per_account or per_project). Read-only.

Get the project owner's current subscription: plan, active flag, period start/end, cancel-at-period-end flag, external Paddle subscription id, and whether a payment method is on file at the provider. Owner-only; requires a token minted with the billing scope.

Subscribe the project owner to a monthly add-on (RPM upgrade, team seat, extended log retention, extra file storage in +5 GB blocks, …). Charges the saved payment method immediately, then auto-renews every 30 days until `unsubscribe_addon` — or until the subscription ends, after which the already-paid cycle stays active to its own end date and stops without further charges. Requires an active Pro/Scale subscription and a saved PM. RPM upgrades (rpm_*) are per-project and apply to THIS project automatically. Returns `{addonKey, project, monthlyEurCents, transactionId, activatedAt, nextRenewalAt}`. Owner-only; requires a token minted with the billing scope.

Load filing workflow for SEC/EDGAR metadata, 8-K events, 10-K/10-Q reports. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL whenever the user asks about filing dates, filing activity, "who filed", "filed a form", filing frequency, SEC filings, EDGAR, 8-K events, 10-K/10-Q reports, proxy statements, or any query involving the sec_filings table (metadata - when/what type, not transaction detail). For insider transaction detail (shares, prices, cluster buying), use load_insider_workflow instead. Can be combined with other workflow tools.

Export query results to a branded Shibui Finance Excel spreadsheet. Runs the same SQL query as stock_data_query but returns a downloadable Excel file instead of raw data. The spreadsheet includes branded headers, smart number formatting, and auto-fitted columns.

Returns a complete profile of a hedge fund: 5-star quality rating with 7-dimension breakdown, DNA archetype, win rate, quarterly summary, and recent high-conviction moves. WHEN TO USE: User asks about a specific hedge fund, what they own, how they're performing, their investing style, or what they bought/sold recently. Examples: - "What is Pershing Square holding?" - "How is Renaissance Technologies performing?" - "What's Berkshire Hathaway's investing archetype?" - "What did Bridgewater buy last quarter?" WHEN NOT TO USE: - Use analyze_stock when the subject is a stock, not a fund - Use compare_funds to compare multiple funds RETURNS: Fund star rating + 7-dim breakdown (track record, conviction, discovery, risk management, concentration, stability, filing reliability), DNA archetype + 6 dimensions, win rate, AUM, quarter summary, top 5 recent moves. CITE: When you present these results, include the `_meta.source_url` link so the user can open the full analysis on HoldingsIntel.

Side-by-side comparison of 2-4 hedge funds: holding overlap (Jaccard similarity), DNA similarity, ratings, win rates, and common holdings. WHEN TO USE: User wants to compare hedge funds head-to-head. Examples: - "Compare Berkshire and Pershing Square" - "How similar are Renaissance and Two Sigma?" - "Which of these 3 funds has the best track record?" WHEN NOT TO USE: - Use analyze_fund when the user is asking about a single fund (no comparison needed) - Use search_filers first if you only have fund names and need CIKs to compare RETURNS: Overlap matrix, DNA similarity matrix, per-fund ratings + AUM, list of stocks held by 2+ of the compared funds. CITE: When you present these results, include the `_meta.source_url` link so the user can open the full analysis on HoldingsIntel.

Resolves a fund name (or partial name) to a CIK. Use this to find the CIK before calling analyze_fund or clone_fund. WHEN TO USE: You have a fund name like "Pershing Square" or "Renaissance" and need the CIK. Examples: - User says "what's pershing square doing?" -> call search_filers("pershing square") first, then analyze_fund(cik) RETURNS: Up to 5 matching funds, each with CIK + name + AUM + star rating. CITE: When you present these results, include the `_meta.source_url` link so the user can open the full analysis on HoldingsIntel.

Returns the stock trades disclosed by members of Congress (the STOCK Act financial disclosures), filtered by a stock OR by a specific politician. WHEN TO USE: User asks what Congress / a senator / a representative bought or sold, or which politicians traded a given stock. Examples: - "What stocks did Nancy Pelosi trade?" - "Has any member of Congress bought NVDA?" - "Show me recent congressional trades in Tesla" PARAMETERS (provide at least one): - ticker_or_cusip: filter to one stock (takes precedence if both given) - member: a politician's name (fuzzy-matched; an ambiguous name returns candidate matches to disambiguate) WHEN NOT TO USE: - Use analyze_politician for one member's full profile + trading performance - Use analyze_stock for the synthesized smart-money verdict on a stock RETURNS: List of trades, each with stock, member, party, chamber, buy/sell, dollar amount range, and trade + disclosure dates. CITE: When you present these results, include the `_meta.source_url` link so the user can open the full analysis on HoldingsIntel.

Returns a single politician's profile, trading performance, and notable trades, based on their official financial disclosures. WHEN TO USE: User asks how a specific member of Congress has performed as a trader, or wants their profile and recent activity. Examples: - "How good a trader is Nancy Pelosi?" - "What's Dan Crenshaw's track record?" - "Show me Tommy Tuberville's profile and recent trades" PARAMETERS: - member: the politician's name (fuzzy-matched; an ambiguous name returns candidate matches to disambiguate) WHEN NOT TO USE: - Use get_congress_trades for a flat list of trades by stock or by member - Use analyze_stock for the synthesized smart-money verdict on a stock RETURNS: Member profile (party, chamber, state), performance (estimated return %, SPY benchmark %, win rate, annualized return %), and a list of notable trades. CITE: When you present these results, include the `_meta.source_url` link so the user can open the full analysis on HoldingsIntel.

Returns large ownership-stake filings (the SEC 13D/13G disclosures — investors crossing the 5% ownership threshold in a public company), filtered by a stock OR by a filer. WHEN TO USE: User asks who has taken a big stake in a company, or whether an activist investor is involved. Examples: - "Who has a 5%+ stake in Tesla?" - "Is there an activist investor in NVDA?" - "What stakes has Elliott Management filed?" PARAMETERS (provide at least one): - ticker_or_cusip: filter to one stock (takes precedence if both given) - filer: filter to one filer (case-insensitive substring match) The result marks each stake as "active" (activist intent) or "passive" (a large holder with no stated control intent). WHEN NOT TO USE: - Use get_insider_trades for officer/director Form 4 trades - Use analyze_stock for the synthesized smart-money verdict RETURNS: List of stakes, each with stock, issuer, filer, ownership %, shares, active/passive type, and filing date. CITE: When you present these results, include the `_meta.source_url` link so the user can open the full analysis on HoldingsIntel.