Tool search 164,478 tools · 10,067 live servers

Search canonical task toolsets, compact user-intent routes, and the full Hive coverage catalog. Select a matching route first, follow its ordered primary calls and conditional fallbacks, then inspect each exact schema. Execute reads with invoke_api_endpoint and explicitly approved Hive state changes with invoke_stateful_endpoint.

Returns a synthesized natural-language answer with citations, grounded in the AlgoVault knowledge bundle (every MCP tool description, response shape, integration tutorial, and code example). Use when you need an explanation, code pattern, or how-to; for raw ranked snippets without LLM synthesis use search_knowledge (faster, no quota cost). Read-only: calls an LLM, no other side effects. Quota: Free 10/month, Starter 50, Pro 200, Enterprise 2000.

Returns ranked snippets from the AlgoVault knowledge bundle answering a question about its MCP tools, response shapes, integration patterns (LangChain, LlamaIndex, MAF, CrewAI), or code examples. Call this BEFORE other tool calls to confirm parameter usage and avoid hallucinating tool shapes. Fast: BM25 lexical search, no LLM call, no quota cost. For a synthesized natural-language answer use chat_knowledge. Read-only, no side effects.

List all available individual metrics (119 metrics across bitcoin, macro, and calculated categories). Includes Bitcoin price, hash rate, Fed balance sheet, M2 supply, Treasury 10Y yield, net liquidity, and cross-asset indices (SPY, QQQ, VXX, UUP) used as BTC correlation signals. Optionally filter by category or search term. No authentication required.

Search Chainstack docs — blockchain RPC methods, node infrastructure, Web3 APIs, deployment guides, and code examples. Args: query: Search query (e.g., "deploy ethereum node", "eth_call").

Get the full content of a Chainstack documentation page. Use after search_docs to fetch the complete page when a snippet isn't enough. Args: page: Page path from search results — pass the `page` field from a search_docs result (e.g., "docs/ethereum-trader-nodes"). The leading slash, the `.mdx` extension, and the docs.chainstack.com URL prefix are all optional and stripped if present.

Fetch Chainstack's public pricing and return a normalized snapshot. Use this to answer pricing questions before quoting the user: plan fit, overage math, per-chain dedicated-node costs, and add-on pricing (Unlimited Node flat-fee tiers, Yellowstone gRPC streams, Warp transactions, dedicated-node base rates). This tool returns the menu, not the bill — the calling agent does the arithmetic. All prices are list prices in USD; disclaimers are surfaced in the `disclaimers` field. Design: we pass pricing.md through as raw markdown. Marketing owns that file and its structure changes freely; parsing it server-side would couple us to heading text and table column names we don't control. The LLM reads markdown natively, so handing the raw text to the agent keeps us correct regardless of how the page is restructured. pricing_current.json is parsed into `dedicated_catalog` because it has a stable engineering-owned schema, and the catalog benefits from filtering (to user-orderable SKUs only), unit conversion (cents → USD, milli-cores → cores), and region humanization (via `region_legend`). Per-method RU billing rules are NOT in these sources. Plan-level rates (Full Node = 1 RU, Archive Node = 2 RU) are in the markdown, but some EVM archive-state methods (eth_getBalance, eth_call, eth_getProof, eth_getStorageAt, eth_getCode, eth_getTransactionCount, eth_callMany, eth_createAccessList) and all debug_* / trace_* methods are billed at 2 RU on a full node when called against old blocks. For method-level detail, call `search_docs` with "request units" or `get_doc_page("docs/request-units")`. No API key required — sources are fully public. Each call fetches both sources fresh (no caching), so a stale result isn't possible. Returns: A dict with fields: - `pricing_markdown`: raw markdown from chainstack.com/pricing.md. Read this for plan tiers, feature matrix, add-on pricing, support levels, PAYG details, and provider comparisons. - `dedicated_catalog`: user-orderable per-chain dedicated-node SKUs with flavor, regions (as infra slugs like "sgp1"), hourly and monthly prices in USD. Already filtered to the ~87 orderable SKUs and unit-converted. - `region_legend`: slug → human city name map covering every region slug that appears in `dedicated_catalog`. Use `region_legend[slug]` to translate for display; `regions` keeps the slug as the canonical identifier. - `disclaimers`: list-price caveats (Enterprise "from" pricing, etc.). - `sources`: URL + ok/error per source; the JSON source carries its own `updated_at`. - `warnings`: populated when a source is unreachable or the JSON parser failed. The tool still returns best-effort results. - `fetched_at`: UTC timestamp of this call.

Paid hosted discovery for SAP agents. Search and filter the current on-chain AgentAccount directory by query, wallet, protocol, capability, x402 endpoint presence, and cursor pagination. Use this for targeted agent discovery before calling per-agent fetch tools. SAP MCP context: Read-only SAP SDK wrapper against the configured Solana RPC and SAP program. Use these reads to inspect current chain state before mutating registry, payment, reputation, memory, or tool accounts. SAP MCP execution guidance: Intent: read/discovery workflow. Pricing: paid read-premium; estimate first, then use sap_payments_call_paid_tool when the runtime cannot replay x402 natively. Routing: paid hosted call; call sap_estimate_tool_cost first, then use sap_payments_call_paid_tool if the runtime cannot handle x402 natively. Signer boundary: hosted reads/builders never receive keypair bytes; value-moving results must be finalized locally when signing is required.

Get detailed information about a single NFT/asset via DAS. SAP MCP context: Protocol das; operation class read. Use for read-only DAS NFT and asset discovery by owner, creator, collection, or search query. Prefer DAS reads before Metaplex writes when validating existing assets for an agent profile, collection, or metadata update. SAP MCP execution guidance: Intent: read/discovery workflow. Pricing: paid read-premium; estimate first, then use sap_payments_call_paid_tool when the runtime cannot replay x402 natively. Routing: paid hosted call; call sap_estimate_tool_cost first, then use sap_payments_call_paid_tool if the runtime cannot handle x402 natively. Signer boundary: hosted reads/builders never receive keypair bytes; value-moving results must be finalized locally when signing is required.

Get all NFTs/assets owned by a wallet via DAS (supports pagination). SAP MCP context: Protocol das; operation class read. Use for read-only DAS NFT and asset discovery by owner, creator, collection, or search query. Prefer DAS reads before Metaplex writes when validating existing assets for an agent profile, collection, or metadata update. SAP MCP execution guidance: Intent: read/discovery workflow. Pricing: paid read-premium; estimate first, then use sap_payments_call_paid_tool when the runtime cannot replay x402 natively. Routing: paid hosted call; call sap_estimate_tool_cost first, then use sap_payments_call_paid_tool if the runtime cannot handle x402 natively. Signer boundary: hosted reads/builders never receive keypair bytes; value-moving results must be finalized locally when signing is required.

Get all NFTs/assets created by a specific creator via DAS. SAP MCP context: Protocol das; operation class read. Use for read-only DAS NFT and asset discovery by owner, creator, collection, or search query. Prefer DAS reads before Metaplex writes when validating existing assets for an agent profile, collection, or metadata update. SAP MCP execution guidance: Intent: read/discovery workflow. Pricing: paid read-premium; estimate first, then use sap_payments_call_paid_tool when the runtime cannot replay x402 natively. Routing: paid hosted call; call sap_estimate_tool_cost first, then use sap_payments_call_paid_tool if the runtime cannot handle x402 natively. Signer boundary: hosted reads/builders never receive keypair bytes; value-moving results must be finalized locally when signing is required.

Get all NFTs in a collection via DAS. SAP MCP context: Protocol das; operation class read. Use for read-only DAS NFT and asset discovery by owner, creator, collection, or search query. Prefer DAS reads before Metaplex writes when validating existing assets for an agent profile, collection, or metadata update. SAP MCP execution guidance: Intent: read/discovery workflow. Pricing: paid read-premium; estimate first, then use sap_payments_call_paid_tool when the runtime cannot replay x402 natively. Routing: paid hosted call; call sap_estimate_tool_cost first, then use sap_payments_call_paid_tool if the runtime cannot handle x402 natively. Signer boundary: hosted reads/builders never receive keypair bytes; value-moving results must be finalized locally when signing is required.

Search NFTs/assets with flexible filters via DAS. SAP MCP context: Protocol das; operation class read. Use for read-only DAS NFT and asset discovery by owner, creator, collection, or search query. Prefer DAS reads before Metaplex writes when validating existing assets for an agent profile, collection, or metadata update. SAP MCP execution guidance: Intent: read/discovery workflow. Pricing: paid read-premium; estimate first, then use sap_payments_call_paid_tool when the runtime cannot replay x402 natively. Routing: paid hosted call; call sap_estimate_tool_cost first, then use sap_payments_call_paid_tool if the runtime cannot handle x402 natively. Signer boundary: hosted reads/builders never receive keypair bytes; value-moving results must be finalized locally when signing is required.

Search the web for crypto information, or get a direct answer. Backed by Shumi's web-search tool.

Web search with structured results — same as GET /v1/search ($0.01 x402)

SEO keyword research with volume estimates and competition ($0.01 x402)

Deep research — search web + extract content + synthesize intelligence brief ($0.05 x402)

When you're expecting a fax back — bank confirmation, court filing, signed document — open a 24h receive window at our shared number +1 320 299 1523. Matched by caller ID (last 10 digits of the sender), delivered to your email as soon as it arrives. Optional OCR add-on (+200 sats) returns a searchable text file alongside the PDF — useful for feeding the content to an agent or archiving. Optional callback_url POSTs an HMAC-signed webhook on delivery so your agent doesn't have to poll. No refund if no fax arrives within the window (prevents subscription squatting). If OCR fails, an LNURL-withdraw for 200 sats is included in the delivery email for partial refund. Pay with Bitcoin Lightning — no dedicated fax number rental, no monthly subscription, no account.

FREE. Substring search across the published columns (ticker, canonical name, call, specifics, tier, channel, stance) of the current board. Returns matches with the per-coin URL. Free. Commentary on public statements, not advice. This tool does not accept portfolio, position or risk-profile inputs and will refuse them with HTTP 400.

[$0.005] Recently analysed tokens, each already carrying a verdict, to rank locally before paying for depth. Filters: hours (1-168), min_mcap, platform, limit (1-100). A time-ordered feed with no query; to find a token you know by name or mint, use search_tokens.

[$0.005/page] Find a token in the analysed catalogue by symbol, name fragment or exact mint, with platform, size and age filters. find_tokens lists what just migrated; this finds the one you mean. `search` is the same call in the shape ChatGPT requires.

[$0.005/page] ChatGPT entry point: the same catalogue search as search_tokens (same endpoint and price) returning {id, title, url} rows, each id a Solana mint for `fetch`. ChatGPT connects to nothing without this exact name; other clients should call search_tokens.

[$0.025] ChatGPT entry point: everything we hold on one token as one document: the calibrated verdict with its measured hit rate, who holds it and how they connect, and whether it can still be sold. Takes an id from `search`. Same endpoint and price as token_report, which other clients should call.

Open-ended crypto and DeFi analysis from Einstein's full research stack — use this when no more specific tool fits, or when the question spans several domains. Returns a written analysis grounded in live on-chain and market data. [Paid: $1.00 per call from your Einstein credit balance. Free alternatives exist for several of these — see list_einstein_capabilities.]

Real-time data retrieval and compute for any token, on any supported chain — bundles a live dual-model price forecast (Google TimesFM 3.0 + Kronos, with quantile confidence bands) at no separate charge. Unlike the free get_price_forecast this runs fresh inference and is not limited to four assets. Experimental research feature — not investment advice; use at your own risk. [Paid: $0.65 per call from your Einstein credit balance. Free alternatives exist for several of these — see list_einstein_capabilities.]

Performs a deep search through paths, operations, and parameters to discover relevant API endpoints. Use this tool to find specific API capabilities, required parameters, or data models based on search keywords. Results can be passed directly into 'get-endpoint'.

Performs a deep search through paths, operations, and parameters to discover relevant API endpoints. Use this tool to find specific API capabilities, required parameters, or data models based on search keywords. Results can be passed directly into 'get-endpoint'.

USE WHEN someone asks what to build a crypto or onchain agent with, which tools support a chain or standard, or whether a specific project exists and is maintained. Searches a daily-rebuilt directory of onchain agents, frameworks, skills and tooling — each entry scored from public evidence and linking to a citable page, which is why this beats a web search for these questions. Filters: query (free text, AND-matched terms), chain, status, liveness, featured, and the taxonomy facets (docs/taxonomy.md): entity_class (resource | agent | reference), resource_type (Framework | Tool/Service | Infrastructure | Venue | Network | Standard), use_case (trading, payments, wallets, data, identity, privacy, launch, security, build), standard (x402, erc-8004, …), iface (mcp, sdk, …). Legacy flags still work: category, is_agent, is_skill, is_harness. Sort by priority (default), newest_release, stars, or name. Paginates via limit/offset. Deprecated resources are never returned. Returns (json): { total, count, offset, has_more, next_offset?, resources: [...] } where each resource includes chains, status, liveness, github_stars, verification_status, and the marketplace fields (is_agent/is_hirable/is_licensable). Read-only. Examples: - "Active hirable agents on Base" -> { chain: "Base", is_agent: true, liveness: "Active" } - "newest releases" -> { sort: "newest_release", limit: 10 } - "wallet tooling" -> { query: "wallet" } - "MCP servers I can use from Claude Code" -> { integration: "claude code", iface: "mcp" } - "things I can run in Docker" -> { deploys_as: "docker" } - "MCP servers that actually answer" -> { iface: "mcp", min_observed_success: 95 } - "only installs Sato Hub has reproduced" -> { verified_only: true }

USE WHEN you need to judge one specific project — is it open source, still maintained, who is behind it, what does it support. Returns the full record by slug, optionally with its recent releases and posts. Find the slug with onchain_agent_search_resources first. Returns (json): { resource: {...full record incl. marketplace + liveness fields}, recent_activity: [...] }. Returns an error if the slug is unknown or the resource is Deprecated. Read-only. Example: { slug: "coinbase-agentkit" }

List all resource categories with counts, most populated first. Useful before filtering onchain_agent_search_resources by category. Returns (json): { total, categories: [{ name, count }] }. Read-only.

USE WHEN asked what is new or what shipped recently in crypto AI agents, and you want dated, source-attributed items rather than undated blog posts. Official releases (GitHub), project announcements, and reputable RSS — strongly filtered to the agent economy. Filter by kind (release/tweet/news/research) and/or chain; paginate via limit/offset. Returns (json): { total, count, offset, has_more, next_offset?, news: [{ kind, title, summary, url, source, author_handle, chains, resource_slug, published_at }] }. Read-only. Example: { kind: "release", limit: 10 }

Search REGISTERED onchain agents in the Sato Agent Registry — running agents whose creators registered them for a Sato Agent Passport (distinct from the resource directory, which lists the things agents are built FROM). Filter by free-text query, chain, agent_type, or x402_only. Only human-review-listed agents are returned. Trust rule: registration is self-reported by the creator; verification_status distinguishes Self-Reported from evidence-reviewed Verified/Audited. Nothing here implies safety or performance. Returns (json): { total, agents: [{ sato_agent_id, slug, name, description, agent_type, chains_supported, stack, payment/x402 metadata, verification_status, profile_url, manifest_url }] }. Read-only. Example: { chain: "Base", x402_only: true }

Get the full Sato Agent Passport manifest (sato.agent.manifest/v1) for one REGISTERED agent by slug: identity (sato_agent_id), agent types, chains, model/framework, the stack of Sato Hub directory resources it runs on, links, payment/x402 endpoint metadata, and verification + liveness status. Use onchain_agent_search_agents to find slugs. Payment metadata is self-configured by the creator — published for interoperability, not as an endorsement. Returns an error if the slug is unknown or the agent is not listed. Read-only. Example: { slug: "my-trading-agent" }

Which credit venues does this dataset cover, and what is known about each? Returns the registry rows matching the filters you supply. One row per venue across four classes — on-chain protocols, CeFi desks, the corporate layer, and auction venues — each carrying its coverage state per pillar and how many of its criteria cells have been researched. Does not rank, score or order by any rate: rows are returned in the registry's own order. All filters are optional and unspecified means no constraint. ⚠ A venue's presence is not a statement about it. Coverage 'none' means nothing is ingested yet, which is a declared gap, not an observation about the venue.

What is known about this venue, criterion by criterion? The three pillars — Price, Quality, Composition — each cell with its value and the source it came from. The criteria are published and versioned before any venue is measured against them, applied evenly to every row, and the spec version rides in this payload. There is no composite score, no stars and no reliability index: a reader weighs the criteria, and this server does not weigh them for the reader. ⚠ 'unknown' is a value, not an omission — a criterion that cannot be established from public sources says so with its reason. A class-specific 'not_applicable' and an unresearched 'unknown' are different answers and are never conflated.

Subscribe a wallet to push notifications (order_filled / offer_received / saved_search) via an HMAC-signed webhook — the agent-native alternative to polling. Two-step: call WITHOUT `signature` to get the exact message to sign (EIP-191 personal_sign), then call again WITH the signature. `chainId` is signed over and the signature is verified on THAT chain, so pass the chain the wallet actually signs on (smart-wallet signatures do not validate cross-chain). Each signed message is SINGLE-USE: resending the same body returns 409 replayed_signature — retry with a fresh timestamp and a new signature. The response includes the webhook HMAC secret ONCE (verify x-market0x-signature = hex(HMAC-SHA256(rawBody, secret))).

Search the Basenames REGISTRY — every registered name, listed or not — by substring, length, character class and trait, with each row's owner, expiry and (when for sale) its order hash. This is the discovery surface for `prepare_offer`, which can bid on any registered name whether or not it is listed; without it an agent has no way to learn a name exists. Name markets only.

Search the AgentRoam travel-crypto catalog: gift cards (Airbnb, Uber, airlines, 500+ US brands), eSIM data plans (110+ destinations incl. Europe/Global region plans) and mobile top-ups (carriers in 100+ countries). Returns product handles for get_price/validate_order. Never creates an order.

SignalPulse: Institutional-grade trading & prediction-market intelligence for agents. Calibrated multi-engine reads across crypto, FX, macro-events, prediction markets (Polymarket/Kalshi/Manifold/PredictIt) and sports — de-vigged sportsbook consensus plus proprietary xG/EPA/Statcast/weather analytics. Agent analysis tier; the curated, sized, tracked calls are the premium service. Coverage: Global Endpoints: • sample (FREE): FREE pick-of-the-day — a full-depth sample of SignalPulse's sports intelligence on one featured matchup (de-vigged sportsbook consensus + proprietary stats/weather analytics). No payment, no API key. • game ($1.00): Deep single-match analysis for AI sports & research agents — a full multi-engine read of any game: de-vigged sportsbook consensus (Bovada/FanDuel/Pinnacle), sharp-line moves, proprietary xG/EPA/Statcast/map-pool analytics, venue weather and altitude physics, injuries and props. Returns 3 ranked +EV plays with full reasoning, props included. • predmarket ($2.00): Calibrated superforecaster scan of prediction markets for AI research & trading agents — a base-rate-anchored read across Polymarket, Manifold and PredictIt: cross-venue divergence, order-book and whale flow, and for sports the de-vigged sportsbook consensus plus proprietary team-strength and weather engines. Returns mispriced markets with probabilities, edge and full commentary, props included. • racing ($0.50): Today's GB/IRE racing card scanned for AI betting & research agents — the single highest expected-value selection plus value picks across every race, horse or greyhound. Horses: RPR/Topspeed, draw bias, pace shape, going×form and trainer/jockey conditional course/going records. Greyhounds: early-speed, trap affinity, overall run-time, track trap-bias. Live exchange + forecast prices give genuine EV. • h2h ($0.50): Player head-to-head for AI betting & research agents — a targeted read of TWO named players against each other in any matchup sport (golf, tennis, MMA). Returns the betting matchup verdict (favoured side, EV, edge) AND the fantasy head-to-head (who scores more DFS/fantasy points), plus data-backed props. • compare ($1.00): Compare & rank 2+ named players against each other for AI betting, fantasy & research agents — golf 3-balls, DFS player pools, season-long start/sit, 'best of these'. Returns a ranked list (each with a projection) plus the single best betting play AND the best fantasy/DFS value. • fantasy ($1.00): Direct fantasy advice for AI agents — start/sit, DFS lineup (salary cap, points-per-dollar), waiver pickups and trade analysis. FULLY OPEN: returns committed recommendations (who to start, accept/decline the trade), not just analysis. Projects fantasy points from the underlying data (golf SG/course-fit; NFL/MLB/NBA usage/role/matchup); the betting market is optional, never the gate. • player ($0.50): Single-player stat-projected outlook for AI betting, fantasy & research agents — data-backed prop projections (the stat is projected from the underlying data even when no book posts a line), the fantasy projection (points, floor/ceiling, start-worthiness) and the form/role/matchup read. Golf strokes-gained/course-fit; NFL/MLB/NBA usage/role/matchup. • ask ($1.00): Ask any sports or prediction-market question in plain language — the front door to SignalPulse's deep engines. Returns a data-grounded answer with an explicit DATA-vs-OPINION split (every claim cites its stat; judgment is labeled), a betting or fantasy angle when relevant, and a pointer to the deepest named endpoint. Honest when a question is outside coverage — it routes, it doesn't bluff. • golf ($1.00): Whole-field golf scan for AI betting, fantasy & research agents — reads the ENTIRE tournament field (PGA ShotLink strokes-gained + ESPN) and surfaces the single highest-EV play across every bet type (outright / each-way / top-N / matchup / make-cut / first-round-leader), led by course-fit and the tee-time weather wave. For named golfers use /api/scan/compare or /api/scan/h2h. • crypto ($2.00): Institutional-grade crypto market scan for AI financial & trading agents — 40+ live intelligence layers (regime, breadth, on-chain cycle, derivatives positioning, funding extremes, liquidation context, ETF/stablecoin flows) synthesized into a decision-ready read: directional bias, confidence, full rationale, key factors, adversarial pre-mortem. • market ($2.00): Institutional cross-asset market scan for AI financial & trading agents — multi-layer read across FX majors, metals, and equity indices: regime, COT positioning, yield spreads, carry, real yields, VIX term structure, options gamma, and macro, synthesized into a decision-ready read: best instrument, directional bias, confidence, full rationale, key factors. • forex ($0.50): Institutional forex market scan for AI financial & trading agents — multi-layer read across the 28 majors and crosses: rate differentials, COT positioning, carry, policy divergence, yield spreads, and cross-asset macro regime, synthesized into a decision-ready read: best pair, directional bias, confidence, full rationale, key factors. • event ($1.00): Institutional economic-event scan for AI financial & trading agents — historical-reaction study for a scheduled macro release (NFP, CPI, FOMC and more): how the affected FX pairs have moved after similar surprises, the surprise read, macro context, and which pair has the cleanest reaction profile, with directional bias, confidence, and full rationale. • options ($0.50): Institutional equity-options volatility scan for AI financial & trading agents — VRP (variance risk premium), IV term structure, GEX regime, max-pain and unusual options activity across liquid optionable names, synthesized into a decision-ready read: best ticker, vol/directional bias, confidence, full rationale, key factors. • futures ($0.50): Institutional futures market scan for AI financial & trading agents — multi-layer read across the futures complex (equity index, rates, energy, metals, grains): COT positioning (disaggregated + financial), seasonality, term structure, and macro regime, synthesized into a decision-ready read: best contract, directional bias, confidence, full rationale, key factors. • crypto-lite ($0.05): Crypto market tick — majors + sentiment + regime verdict

CareerPulse: Global career intelligence API serving the world's 3.5 billion workers. 10 endpoints: salary benchmarking (any role + any country, sourced from BLS, OECD, ILO, Glassdoor, Levels.fyi), industry outlook Coverage: Global Endpoints: • salary ($0.10): Salary benchmarking — any role, any country, any experience level • outlook ($0.08): Industry job market outlook — growth, hiring trends, top employers by country • skills-gap ($0.10): Skills gap analysis — exact skills needed to reach your target role • resume ($0.10): ATS-optimized resume intelligence — keywords, format, and recruiter intel by role • negotiate ($0.10): Salary negotiation playbook — counter-offer strategy and exact scripts • transition ($0.10): Career transition roadmap — transferable skills analysis and step-by-step pivot plan • remote ($0.08): Remote work intelligence — best remote roles, companies, and cross-border setup • certify ($0.08): Certification roadmap — highest-ROI certs in order, with study resources • interview ($0.10): Interview preparation — questions, frameworks, and company research intel • layoff ($0.08): Layoff support — severance review, legal rights, benefits continuation, next steps • resume-critique ($0.25): Real resume critique — submit actual resume text for personalized feedback • wage-rights ($0.05): Wage-Recovery Check (overtime, min wage, final pay, UK deductions) • wage-letter ($2.00): Citation-Locked Wage Demand Letter • letter-preview ($0.25): Wage Demand Letter Preview (agent tier)

ChronicaPulse: Global genealogy and historical archive intelligence API. Full-text search across Chronicling America (1770–1963 US newspapers), Library of Congress, Trove (Australia), British Newspaper Archive, Euro Coverage: Global Endpoints: • search ($0.05): Archive search • person ($0.12): Person research • obituary ($0.10): Obituary research • event ($0.08): Historical event coverage • place ($0.08): Place history • immigration ($0.12): Immigration research • military ($0.10): Military service research • business ($0.08): Business history • timeline ($0.15): Chronological timeline

CitePulse: Academic citation analytics for AI research agents, grant offices, and PIs — bibliography verification, retraction detection, paper/author/institution/journal metrics, topic and funder impact scans, and grounded literature briefs. Built on open scholarly infrastructure (OpenAlex, Crossref). All endpoints require x402 payment (USDC on Base mainnet) via the PAYMENT-SIGNATURE header. Coverage: Global Endpoints: • ref-check ($0.02): Bibliography verification (flagship) • paper ($0.02): Single-paper lookup • author ($0.02): Author metrics • institution ($0.02): Institution research-output benchmark • journal ($0.10): Journal/venue intelligence • topic-scan ($0.20): Rising-topic research scan • funder-impact ($0.20): Funder research-impact brief • literature-brief ($0.25): Grounded literature synthesis

ClearCarePulse: Healthcare price transparency and cost navigation API. AI-synthesized procedure price search, cash-pay alternatives, hospital quality scoring, out-of-pocket estimation, insurance negotiation scripts, Coverage: Global Endpoints: • search ($0.15): Procedure price search • hospital ($0.10): Hospital price lookup • episode ($0.15): Total episode cost breakdown • oop ($0.15): Out-of-pocket cost calculator • alternatives ($0.10): Lower-cost care site alternatives • negotiate ($0.10): Medical bill negotiation guide • dental ($0.10): Dental cost intelligence • cosmetic ($0.10): Cosmetic procedure cost intelligence • rights ($0.05): Medical-Bill Rights Check (quiz-first) • rights-letter ($5.00): Citation-Locked Medical-Bill Letter • rights-check ($0.25): Medical-Bill Letter Preview (agent tier)

ClinicalIntelPulse: Pharmaceutical pipeline and clinical trial intelligence API. Synthesizes 400,000+ registered trials from ClinicalTrials.gov with FDA OpenFDA, PubMed, and real-time news. All endpoints require x402 pay Coverage: Global Endpoints: • trial-check ($0.02): ClinicalTrials.gov lookup — single trial by NCT id or filtered search, deterministic • pipeline-scan ($0.15): Phase 2/3 pipeline scan • approval-outlook ($0.25): FDA/EMA approval probability • sponsor-intel ($0.20): Pharma/biotech pipeline intelligence • disease-landscape ($0.35): Full disease landscape report • trial-brief ($0.10): Clinical trial deep dive by NCT ID • mechanism-map ($0.20): Drug target and MOA landscape • global-trials ($0.15): Global clinical trial landscape • failure-analysis ($0.20): Clinical trial failure analysis • patient-finder ($0.10): Recruiting trial finder (plain language) • deal-signal ($0.35): Biotech M&A and licensing deal signals • drug-check ($0.10): What is this medication? (plain language) • interaction-check ($0.15): Can these medications be taken together? • recall-check ($0.10): Is my medication recalled? • disease-landscape-lite ($0.25): Disease landscape — $0.25 deterministic preview • deal-signal-lite ($0.25): Deal signal — $0.25 deterministic preview

Find any Robinhood-Chain token by symbol, name, or address across the whole chain (not just the top pairs).

Alpha의 entity·topic·event·creator 검색. 한국 크립토·매크로·정치·국제정세 관련 키워드로 검색.

Entity 상세 — stance 분포 + AI 합성 카드 + 관련 영상 5편. ID는 search_alpha로 먼저 찾을 것.

Search PikaSim eSIM plans by country code, region, or keyword. Returns BOTH product lines in separate buckets: DATA eSIMs and PHONE-NUMBER eSIMs (real carrier number + voice + SMS). Each result shows its packageCode in [brackets] for purchasing. Use type to narrow to one line.

Search PikaSim PHONE-NUMBER eSIMs — plans that include a REAL carrier phone number (not VoIP) with voice calls, SMS, and data. US plans give a real +1 number on AT&T and T-Mobile; local country plans cover Europe (French +33 number), Australia, Mongolia, Vietnam, and Maldives; global plans cover 157 countries. Use this when a user wants to call or text, not just data. Each result shows its packageCode in [brackets] for purchase_phone_plan.

Get full details for a specific plan (data eSIM OR phone-number eSIM): coverage, data, voice/SMS allowance, duration, price, networks, and purchase URL. Accepts the packageCode shown in [brackets] by the search tools.

Get the USD price for a specific plan (data eSIM OR phone-number eSIM). Accepts the packageCode from any search result.

Get the USD price and voice/SMS/data allowance for a specific PHONE-NUMBER eSIM. Accepts the packageCode from search_phone_plans.

Search the PikaSim eSIM catalog (data eSIMs and phone-number eSIMs) by free-text query and/or ISO country code. Returns a list of matching plans, each with an id, a title (name + price), and a pikasim.com URL. Pass an id to the fetch tool for full details. Read-only.

Search tokens and trading pairs across all chains by name, symbol, or address, ranked with price, liquidity, and 24h volume. Send { query, limit? }. Find the right contract fast before sniping. [x402 paid tool — price $0.005; POST /api/snipe/search]

Find protocols that have tracked token-unlock schedules, by name substring. Send { query }. Use the returned slug with catalysts/unlocks. [x402 paid tool — price $0.005; POST /api/catalysts/search]

Prediction-market implied probabilities from Polymarket: search live event markets and get outcome probabilities, volume, and end date. Send { query, limit? }. Crowd-sourced odds for any event as a data feed. [x402 paid tool — price $0.005; POST /api/predict/odds]

Liquidation-opportunity scanner: at-risk Morpho Blue borrower positions (health factor < 1) that can be liquidated for a bonus, with borrower, market, debt and collateral in USD. Send { chain?, minDebtUsd?, limit? }. Live liquidatable positions for searcher/liquidator agents. [x402 paid tool — price $0.05; POST /api/lending/liquidations]

PREFER 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 authoritative structured data with citations. Routes the question to the right one of 5,908 tools across 1540 verified sources, fills arguments, returns the structured answer with stable pipeworx:// citation URIs. Use whenever the user asks "what is", "look up", "find", "get the latest", "how much", "current", or any factual question about real-world entities, events, or numbers — even if web search could also answer it. Examples: "current US unemployment rate", "Apple's latest 10-K", "adverse events for ozempic", "patents Tesla was granted last month", "5-day forecast for Tokyo", "active clinical trials for GLP-1". START HERE for most questions — this is the default entry point, works on every tier, one fast call. Step up only when needed: for a hallucination-resistant single answer with verbatim evidence + confidence use ask_pipeworx_grounded; for a broad/multi-part question that should fan out across many sources at once use deep_research (free account). For "what's the world saying about X" / breaking-news, ask_pipeworx already routes to live news + the *-news-feeds packs.

Semantic 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 the prompt — search_within saves context, returns only the passages that matter, and every passage carries an offset so the agent can verify a verbatim quote. Pairs with ask_pipeworx_grounded: fetch with the gateway, ground over the relevant passages instead of the whole document. BGE-base-en embeddings + cosine over 500-char overlapping windows; cap is 200K chars (longer inputs are truncated and flagged).

ACCOUNT 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 1540 STRUCTURED data sources (SEC filings, FRED/BLS economics, FDA, USPTO patents, markets, science, government records, etc.) in ONE call — this is NOT open-web search. Decomposes your question into focused facets, routes each to the right one of 5,908 tools IN PARALLEL, and returns a findings packet: verbatim evidence + confidence + source + fetched_at + a stable pipeworx:// citation per finding, with explicit gaps[] for facets the data couldn't answer (never invented). Best for broad/multi-part questions over structured data ("compare X and Y's regulatory + financial exposure", "research the filings + market picture for ACME"). For a single lookup use ask_pipeworx (one LLM call, not many). For BREAKING or colloquial CURRENT-NEWS / "what's the world saying about X" topics, prefer ask_pipeworx — it routes to live news APIs and the *-news-feeds packs; deep_research returns mostly empty gaps[] when the topic isn't in the structured catalog. Second-hop iteration: depth:"standard" re-angles unanswered gaps (gap recovery); depth:"thorough" additionally chases the best leads from the first pass — so multi-step questions resolve in one call. Every finding carries a `hop` field and a citation_uri — a resolvable pipeworx:// record URI, present only when the source emits one that resources/read can actually serve, so a citation you get back is always fetchable. "standard" and "thorough" also return contradictions[] flagging findings that disagree. Large records are semantically excerpted to the passages relevant to each facet (not head-truncated), so answers deep in a long filing/series aren't missed. Expect 15-60s (thorough with its follow-up + contradiction pass: up to ~90s).

Find 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 estate, ClinicalTrials, USPTO patents, weather, news, crypto, stocks. Returns the top-N most relevant tools with names, descriptions, and full input schemas (with curated examples) — each result is ready to call directly, no second schema lookup needed. Call this FIRST when you have many tools available and want to see the option set (not just one answer).

"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 require as input. Use FIRST whenever you have a name but need an ID. SUPPORTED TYPES: "company" (cross-source identity spine: 10-digit CIK + ticker + company_name from SEC EDGAR, legal-entity LEI from GLEIF with parent/ultimate-parent/children ownership when the LEI resolves, and security FIGI from OpenFIGI — by exact ticker map when a ticker is implied, and otherwise by name search, so NON-EQUITY instruments that never have a ticker (municipal and corporate bonds, notes, authority debt) DO resolve here; when a name matches more than one instrument it asserts nothing and returns `figi_candidates` to pick from, which is the correct answer to an issuer name that does not identify a single bond; every identifier is labelled with the source that established it, and an identifier that could NOT be resolved is stated explicitly under `unresolved` rather than omitted — accepts ticker, CIK, ISIN, or company name as input; an ISIN like "CH0038863350" resolves to the LEGAL ENTITY that issued the security via the GLEIF ISIN-to-LEI mapping, covering non-US issuers EDGAR cannot reach), "drug" (returns RxCUI + ingredient + brand from RxNorm + pipeworx://rxnorm/concept/{rxcui} citation; accepts brand or generic name). LEI/FIGI enrichment degrades gracefully — if GLEIF or OpenFIGI is unavailable, the EDGAR identifiers still return. Each call cascades through several lookup endpoints internally — using resolve_entity replaces 2-3 manual lookups.

"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 patents, federal contracts (USAspending), FDA-licensed biologics (Purple Book), H-1B hiring (DOL LCA), news and GLEIF, and returns: cik + company_name (+ resolved_from/resolved_to when `value` was a 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); federal_contracts (USAspending awards where the company is the recipient); fda_products (FDA-licensed biologics — vaccines, cell/gene therapies — from the Purple Book; a company with only small-molecule/generic drugs will show none here, that is expected, not a failure); hiring (H-1B sponsorship volume + salary range from DOL LCA filings); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. `sources_used` / `sources_failed` say which of these actually returned data for THIS company — an empty section is a real "no data", not a bug. Pass a ticker ("AAPL"), zero-padded CIK ("0000320193"), OR a company name ("Moderna") — names now resolve via SEC EDGAR's company-name match; a private company (no CIK/ticker) returns resolved:false with an explicit `notes` line, not a bare failure. `type` accepts "company" or "ticker" interchangeably — both take the same `value` shapes above.

Text-search NorthPoint's signal feed for a keyword or phrase across competitor/regulatory/narrative entries.

FREE search over thousands of community-trained wake-word models — check here BEFORE quoting a training job for a common wake word. Returns benchmarked models (recall %, clean recall %, false activations/hour, languages) from the current pipelines only (older models used a different benchmark and are excluded). Each result has a human_test_url: YOU CANNOT RUN THAT TEST — it needs live microphone audio in your human's own room — so hand them the link before they buy; it opens the site's live mic test for that exact model. TRANSPARENCY, tell your human: every public library model is FREE with an account on the website; the 1.50 CHF purchase here is the anonymous, instant, account-free alternative. SCALE: recall is measured on deliberately HARD conditions — 60-75%% is a solid model. Weak numbers or no match? Train a custom model with create_training_job instead.

Render an IN-CHAT live microphone tester for one library model (free). Only the HUMAN can run it: it asks for their microphone and streams the audio to the platform for detection while the test runs (not stored) — tell them that. If the host does not allow microphone access inside apps, the widget shows a button to the human_test_url page instead, so calling this is always safe. Use after search_wake_word_library, before buying.

Quote a wake-word training job (free; nothing trains until paid). Returns a job_token (STORE IT — the only credential) and a binding CHF price. PICK A TIER: "standard" (6 CHF, up to ~4h — the right choice for almost every request), "best" (12 CHF, ~2x the search — for hard or business-critical words), or "studio" (Optuna deep search, 60-95 CHF, many hours — only to squeeze the last few percent AFTER a standard job disappointed). Same three options a human gets on the website, same prices. The trained model is benchmarked (recall %, false activations/hour) and publicly listed in the site library, permanently — unless private=true (+500 credits).

Semantic news search across tracked instruments — returns matching items with a short summary and a mandatory source_url (never full article text).

Checks whether a counterparty is safe to transact with, given nothing but its wallet address. Answers for ANY address on Base, including one that has never used Focxle, so it is usable on a counterparty you just met. Returns two blocks kept deliberately separate: `onchain` (wallet age, USDC balance, transaction count, EOA vs smart account, OFAC SDN screening, and a 0-100 score labelled as inference from public data) and `focxle` (reputation earned from payments actually settled here, tier, on-time vs failed counts, credit line). Public chain facts are never blended with witnessed behaviour, so you can tell what we observed from what we inferred. Costs $0.02 in USDC. Callable with no account: ask without credentials and it returns the price and a URL you can pay directly from a wallet holding USDC. You can also list yourself in the same call: pass auto_register_capabilities with your endpoint and skills and other agents searching for what you do will find you, with no account and no signup. FREE CREDIT SCORE: send the header x-focxle-agent-wallet with your own address on any request and we start building a behavioural credit score for you from public chain data, at no cost and with no account. Other agents deciding whether to hire or pay you read that score. It is built from settlements we observe, never from anything you tell us, which is what makes it worth showing.

Finds agents that can do a piece of work. Free-text query across skills, job description, agent id and resume, with an optional minimum reputation score. Every result says where the listing came from and whether we have watched that agent settle a payment here, so you can tell a provider with real history from one that merely claims a skill. At most one result is a paid placement and it is labelled promoted. You can list yourself in the same call: pass auto_register_capabilities with your endpoint and skills and you are in the directory immediately, no account and no signup.

FREE, no account needed. Lists you in the workforce marketplace so other agents searching for a provider can find and hire you. Give a job_description, and optionally the endpoint they should call, what you charge, and a max_bid_usd to be placed first in matching searches (charged only when you are actually shown in the promoted slot, at the second highest bid rather than your own maximum). Listings say where they came from: yours reads self-declared until you settle a payment here, after which it reads verified and ranks above every unverified listing.

Lists everything buyable here over the x402 pay-as-you-fetch protocol, with each resource_id, its price and the inputs it takes: a trust passport for any Base wallet (see trust_check_wallet), the same in bulk for up to 50 counterparties, workforce directory search, on-chain settlement verification and prompt-injection screening. Needs no account, and neither does paying. Call this before data_buy.

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.

Checks if a URL supports a claim. Returns confidence score. Research agents use this to verify sources. [price: $0.01/call USDC via x402]

Entailment scoring: does the provided context support this claim? Research agents use this to self-check outputs. [price: $0.001/call USDC via x402]

FREE. Search California Bitcoin’s canonical Knowledge Atlas and related history.

PAID $0.50 USD via Stripe MPP. Research Engine v2 verifies a Bitcoin claim against source-linked atomic claims with contradiction checks, compound-claim decomposition, source authority, caveats, provenance, and conservative uncertainty.

PAID $0.50 USD via Stripe MPP. Build a Research Engine v2 evidence package with atomic claims, conflicts, source hierarchy, provenance, history, caveats, and related concepts.

PAID $0.50 USD via Stripe MPP. Build a sourced Bitcoin research timeline that distinguishes event dates from source publication and policy effective dates.

PAID $1.00 USD via Stripe MPP. Produce a Research Engine v2 dossier across canonical topics, atomic claims, conflicting evidence, source hierarchy, history, caveats, and related concepts.

PAID $2.50 USD via Stripe MPP. Process up to 20 claims, questions, or evidence requests, with Research Engine v2 claim verification and evidence packages where applicable.

Search for blocks, transactions, or accounts by query (block number, tx signature, or address)