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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.

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.

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, Kalshi, 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

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.

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.

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

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]

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'.

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

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

Search the Onchain Agent directory of onchain agents, frameworks, skills, and tooling. 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" }

Get the full record for one directory resource by slug, optionally with its recent activity feed (releases/posts). Use onchain_agent_search_resources first to find a slug. 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.

Get the Onchain Agent news feed — official releases (GitHub), announcements (project X posts), 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" }

Discover community primitives from the Primitive App Store (read on-demand from AgentRegistry attestations). Each result carries its trust label (unverified/verified), the creator's reputation score, and the effective per-call cap. Filter by category, chain, tier, or a search string. No payment. Use before economyos_pay_primitive.

List/filter Crank support tickets (newest first). Read-only. Filters (all optional): status (open|in_progress|waiting_on_user|resolved| closed), priority (low|normal|high|urgent), category (billing|technical| feature_request|general), search (matches ticket number/subject/requester email+name/wallet). Returns {count, tickets[]}.

Recent technology / tooling developments relevant to Crank + Engaij (free read, ENG-565c74a9). Returns items from a scheduled scan of technology feeds (Anthropic, OpenAI, Coinbase Developer, Solana Foundation, Hacker News filtered, GitHub trending) plus flagged YouTube tech channels (full transcript ingested), LLM-classified for relevance to both Crank (Solana trading infra + DeFi frontend) and Engaij (the parent automation platform). Each update carries ``category`` (sdk_release / api_change / competitor / regulatory / research / tooling), ``relevance_to_crank`` and ``relevance_to_engaij`` (high/medium/low/none), a concrete ``application_recommendation`` (what to do about it), title, url, and a one-line ``summary``; results are ranked by relevance then recency. window_hours bounds the lookback (default 168 = 7 days, capped at 720 = 30 days); min_relevance filters by floor (high/medium/low); category optionally narrows to one kind. A triage signal, not advice. Not financial advice. Workflow: INTELLIGENCE step -- scan for SDK / API releases, competitor moves, or tooling worth adopting before planning integration or strategy work.

Full-text search across Zipp's news catalogue. Returns recent matching stories ordered by recency (with relevance as a tiebreaker). Use for questions like 'what's happening with Bitcoin ETFs?' or 'find news about Solana hacks'.

List the full Zipp taxonomy (7 main groups × 5 leaves = 35 categories total). Use to discover valid category slugs for the search / get_latest tools.

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 5,245 tools across 1369 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 1369 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 5,245 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 (record-level pipeworx:// when the source emits one, else source-level). "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).

"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).

Research a Polymarket bet by pulling the relevant Pipeworx data for it in one call. Pass a market slug ("will-bitcoin-hit-150k-by-june-30-2026"), a polymarket.com URL, or a question text. The tool resolves the market, classifies the bet, fans out to category-specific data packs in parallel, and returns an evidence packet + simple market-vs-model comparison. Use for "should I bet on X", "what does the data say about Y", or "is there edge in Z". CLASSIFIERS: crypto_price, fed_rate, geopolitical, sports, sports_championship, drug_approval, election_candidate, tech_launch, space_launch, corporate, corporate_earnings, corporate_event, public_figure_speech, weather, other. FAN-OUT EXAMPLES: BTC bet → coingecko + fred + gdelt+gnews; Fed bet → fred (DFEDTARU + EFFR + CPIAUCSL) + kalshi_macro (KXFED implied probs) + recent_fed_actions (federal-register rules, last 365d); Hormuz bet → imf_portwatch + airspace + gdelt; Yankees WS → mlb_stats_standings + parent_event partition + news; hottest-year bet → climate_projection_nyc + gistemp_latest (NASA global anomaly, rank since 1880) + news; NVDA-vs-AAPL → finnhub get_quote + edgar shares-outstanding (derived market cap) + edgar filings + news. RESPONSE SHAPES: result.market carries best_bid/best_ask/spread_pp/liquidity/price_change_1h/1d/1w; result.analysis carries model_probability/edge_pp/kelly_fraction_half when a closed-form model fires PLUS a 24h-move warning ("Market moved X.Xpp in 24h, comparable to model edge — your edge may already be priced in") when relevant; result.evidence is keyed by source. RESOLVER CONTRACT: result.market_match_confidence ∈ {high, medium, low, none}, market_match_score (0-1 token-overlap), market_match_alternatives[] (other candidate markets the resolver considered), and suggestions[] (explicit re-query hints when the match is fuzzy) — ALWAYS inspect these before trusting the analysis block, because medium/low matches can still surface other fields. PARENT_EVENT EXTRACTOR: when the bet is one leg of a partition (Yankees WS, Romania election), result.parent_event{matched_candidate, top_legs_by_price[], partition_size, placeholders_filtered} gives you the peer prices in one place — that's the headline for elections/championships. NEWS FIELDS: news entries carry _fallback_attempted / _fallback_failed_reason / retry_after_sec when GDELT 429s and GNews backfill ran or failed. SAFETY: low-confidence resolutions short-circuit with status:"low_confidence_match" and suppress analysis fields so agents can't accidentally size on phantom matches. Closed/dead markets that ARE still indexed by Polymarket (yes_price≈0, no volume, no liquidity) return status:"market_closed_or_inactive" and skip fan-out. In practice resolved markets are usually de-indexed and instead surface via the low_confidence_match path above — both routes are BLOCKING, just different mechanisms. Wide-spread markets (>10pp) carry tradeability:"illiquid_wide_spread" + an explanatory note. RESOLUTION-RULE RISK: market.cancellation_rule parses the void/postponement settlement out of the resolution text — refund_50_50 (shares settle flat 50¢ on void; EV-material for any entry away from 50¢, with ev_impact quantified), resolves_no_on_cancel, resolves_yes_on_cancel, carries_to_reschedule, or mentioned_unclear. null means the description never mentions cancellation. Check this before sizing sports/esports/event-occurrence bets — audited arb-bot ledgers show flat-50¢ void settlements are a recurring pure-rules loss.

Search crypto exchanges, wallets, analytics tools, and crypto cards by name, promo code, or feature.

Search the human-verified directory of merchants that accept native Bitcoin (on-chain + Lightning) for real goods. Each listing carries its verification date and a `stale` flag against a 90-day re-verification window; the response reports how many matches are stale. Filter by free-text query, category, or country.

Search the live token/NFT census for Robinhood Chain (4663) and HyperEVM (999) by symbol or name. Returns matching tokens with address, standard (erc20/erc721/erc1155), decimals, holders, market cap, and — for HyperEVM canonical tokens — live spot price + 24h volume. The census is refreshed hourly (canonical tokens from Hyperliquid spotMeta, top tokens from Blockscout, spam-filtered). Use this instead of discover_programs when you want a specific asset (e.g. "USDC on hyperevm", "stablecoins on robinhood") rather than the whole list.

Report the freshness and health of the cross-chain program/token discovery pipeline: when the hourly cron last ran, how many programs/tokens each chain scan produced, and which scans failed. Use this to check whether discover_programs / search_tokens data is current before relying on it.

Search the aeX402 universe by keyword: tokens (Robinhood Chain + HyperEVM census), known programs/contracts (Solana, Robinhood, HyperEVM, Slonana), and live AeX402 AMM pools. Returns a result list; pass a result id to the fetch tool for full detail. Use the specialist tools (search_tokens, discover_programs, aex402_listPools) when you already know the entity type.

Fetch the full document for one search result id (from the search tool). Accepts token:<chain>:<address>, program:<chain>:<address>, or pool:<address>. Returns the entity detail (on-chain state for pools, census entry for tokens, registry/introspection for programs) as a document.

Find published Tenjin pieces. Leak-safe full-text search over title/excerpt/tags plus the body text that is already public — a free piece's whole body, a paid piece's pre-paywall preview only, never text below a paywall (also matches a creator handle); returns preview-only listing items (never a paid body), cursor-paginated — newest-first when browsing (or a chosen sort: oldest, most-read, least-read, cheapest, dearest). q alone is relevance-ranked; q + sort filters by the query and orders the matches by the sort.

Ask a QUESTION mid-task and get a shortlist of up to `limit` lean candidate essays, or an honest MISS. Distinct from search_articles: it matches your question against author-attested answer cards on both wording and meaning, and applies freshness/price/applicability as HARD gates. `calibration` labels the retrieval mode ("hybrid-v1", or "lexical-v1" when the dense leg is unavailable), never a confidence score to branch on, so a small early catalog MISSes often and that is correct. A MISS may carry a `browse` tail (≤3 broad-corpus pointers to consider, never scored candidates). Each candidate is identity + price + freshness + why it matched, and its `slug` + `creator.handle` are exactly get_article's arguments: call it to inspect at no cost, where a paid piece returns a `card` object (questionsAnswered, tasksSupported, appliesTo, scope, exclusions, temporalMode) plus preview and a free piece returns the whole piece with no `card`. A maximal card is ~25kB, so inspect the 2 or 3 most promising, not all 10, then buy the one you want with pay_and_read (pass the searchId to attribute that purchase, optional). `truncated: true` means the size backstop dropped trailing candidates; the ceiling grows with the number returned, so retry with a LARGER limit (up to 10) to recover them, and at limit 10 narrow the question instead. Keyless, anonymous.

Unlock a paid piece with an x402 payment you signed locally. Pass the base64 PAYMENT-SIGNATURE header value; the server forwards it and returns the full piece JSON with raw source Markdown in bodyMd, and never holds your keys. Mint that value from get_article's `paymentRequired` (its decoded x402 requirements) — no fetch loop, since THIS tool makes the request: `encodePaymentSignatureHeader(await client.createPaymentPayload(paymentRequired))` (createPaymentPayload from @x402/core/client on your signing client, encodePaymentSignatureHeader from @x402/core/http). OPTIONAL attribution: pass `searchId` (from a prior `search`) to link this buy to that search — a consent-based opt-in, never required to buy.

Create + publish a piece. Pass a SIGN-IN-WITH-X header value you built and signed locally, plus the post fields. Returns the created post + public url; the server never holds your keys. Attach an optional `resource` answer card to make the piece search-discoverable. Mint the header WITHOUT a fetch loop — Tenjin's SIWX is CLIENT-driven (you send the message on the FIRST request; do NOT use wrapFetchWithSIWx, which waits for a server challenge Tenjin never sends): build a CAIP-122 `info` (its `domain` MUST be this site's host; `nonce` a client-minted single-use string), then `encodeSIWxHeader({ ...info, address, signatureScheme: 'eip191', signature })` over `createSIWxMessage(info, address)` from @x402/extensions/sign-in-with-x. Same header unlocks get_profile / get_library and get_article's signInWithX. Full worked example in /llms.txt.

Live Polymarket prediction market odds. Search any topic free-text ("fed rate cut", "world cup winner") or fetch one market by its slug. Returns normalized markets: outcomes, prices, bid/ask spread, 24h volume, liquidity, resolution date, and the polymarket.com URL. ~15s freshness. Paid tool: $0.001 per call via x402 (USDC on Base).

Search the JYOTINT sealed-forecast corpus (Bitcoin-anchored, dated-before-the-event predictions) by free text across id, title, and the verbatim sealed claim. Returns matching records with their grade, sealed probability, seal date, source artifact, and SHA-256 seal hash.

Search for tokens available on deBridge DLN. Returns token addresses, symbols, and supported chains.

List AI models available on the Tenzro network. Shows all models with availability: 'local' (served on this node, free), 'network' (available from remote providers, costs TNZO), or 'downloadable' (in catalog but not yet available). Filter by category or search by name

Archive a memory record. Pushes the canonical payload to the configured DA backend, then rewrites the on-tier rows with kind='archived' and the resulting DaPointer attached. Frees hot search budget; payload is fetchable on demand via the pointer.

Post a new task to the Tenzro Network task marketplace. Returns the created task with its UUID. Tasks can request AI inference, code review, data analysis, content generation, agent execution, translation, or research.

Search agent templates on the Tenzro Network marketplace by query. Matches against template name, description, and tags using case-insensitive substring search.

Free-text market/event lookup by team, competition, context, or market title. This is the AGENT FRONT DOOR: call find_markets FIRST to resolve a team or competition name (e.g. 'Yankees', 'EPL', 'Lakers vs Celtics') into a market id before calling get_market, list_markets, or get_spreads — an agent that can't find a market can't use anything else. Matches case-insensitively against team, category, contextual facets, market_type, slugs, and native venue ids. Returns lean canonical market objects (identity only, no live prices, same shape as list_markets) so lookups stay fast; hand the returned id to get_market for pricing and settlement detail. Paginated (page/page_size, max 50 per page). Filter by category, sport, and status (open/live/resolving/closed/settled — default open,live). Mirrors GET /v2/search. Free to any active dino.markets key.

Free-text search across brands, categories and offers, e.g. 'stock perps discount', 'esim', '20% off exchange'. Returns matching verified-code records.

Search Noon Barbari's Q&A knowledge base of direct, data-grounded answers about backtesting, overfitting, validation, indicators, risk management and crypto markets. Returns the top matching questions with their full answers.

Search Noon Barbari's trading glossary for a plain-language definition of an indicator, metric or concept (RSI, MACD, Sharpe ratio, drawdown, walk-forward, overfitting, and 60+ more). Returns the top matching terms with a short definition, the full explanation, and a link.

FREE. Tell LION what you need. Returns recommended paid path + sample. Default: deep research $0.04 (company by domain), then enrich $0.05, VCF $0.95 upsell.

FREE teaser for a company/domain. Upgrade: lion_deep_research ($0.04) or lion_verified_company_file ($0.95).

Company research by domain or name for AI agents. One keyless call: web + firmographics + domain trust. $0.03 Base USDC. Org research, company intel, firmographics, domain enrich. Cheaper than $0.05–$0.08 dossiers. Ed25519-attested. ?q=stripe.com [x402 paid: GET /api/x402/company-research price $0.03 on Base]

Company dossier for agents: one-call research pack (web + firmographics + domain). $0.03 Base USDC. Use for company intel pack, vendor research, KYB taster. Full verified company file upsell $0.95. ?q=coinbase.com [x402 paid: GET /api/x402/company-dossier price $0.03 on Base]

LION Research Bundle — one-call enrichment + tx context [x402 paid: GET /api/x402/enrichment-tx-bundle-json price $0.005 on Base]

Keyless attested web search (?q=) for agent grounding. $0.025 Base USDC — agent-search band. Ed25519-attested result set. [x402 paid: GET /api/x402/web-search-json price $0.025 on Base]

Search the Proxygate marketplace for APIs an agent can buy. Optional free-text query (semantic + keyword search, same as the public catalog), category filter, and result limit. Returns each API with its listing id, name, service slug (for call_api), category, buyer price per request (in micro-USDC), listing type, trust/rating hints, and a capped endpoint preview (endpoint_count = full total). No authentication required.

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 5,245 tools across 1369 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 1369 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 5,245 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 (record-level pipeworx:// when the source emits one, else source-level). "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).

"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).

Research a Polymarket bet by pulling the relevant Pipeworx data for it in one call. Pass a market slug ("will-bitcoin-hit-150k-by-june-30-2026"), a polymarket.com URL, or a question text. The tool resolves the market, classifies the bet, fans out to category-specific data packs in parallel, and returns an evidence packet + simple market-vs-model comparison. Use for "should I bet on X", "what does the data say about Y", or "is there edge in Z". CLASSIFIERS: crypto_price, fed_rate, geopolitical, sports, sports_championship, drug_approval, election_candidate, tech_launch, space_launch, corporate, corporate_earnings, corporate_event, public_figure_speech, weather, other. FAN-OUT EXAMPLES: BTC bet → coingecko + fred + gdelt+gnews; Fed bet → fred (DFEDTARU + EFFR + CPIAUCSL) + kalshi_macro (KXFED implied probs) + recent_fed_actions (federal-register rules, last 365d); Hormuz bet → imf_portwatch + airspace + gdelt; Yankees WS → mlb_stats_standings + parent_event partition + news; hottest-year bet → climate_projection_nyc + gistemp_latest (NASA global anomaly, rank since 1880) + news; NVDA-vs-AAPL → finnhub get_quote + edgar shares-outstanding (derived market cap) + edgar filings + news. RESPONSE SHAPES: result.market carries best_bid/best_ask/spread_pp/liquidity/price_change_1h/1d/1w; result.analysis carries model_probability/edge_pp/kelly_fraction_half when a closed-form model fires PLUS a 24h-move warning ("Market moved X.Xpp in 24h, comparable to model edge — your edge may already be priced in") when relevant; result.evidence is keyed by source. RESOLVER CONTRACT: result.market_match_confidence ∈ {high, medium, low, none}, market_match_score (0-1 token-overlap), market_match_alternatives[] (other candidate markets the resolver considered), and suggestions[] (explicit re-query hints when the match is fuzzy) — ALWAYS inspect these before trusting the analysis block, because medium/low matches can still surface other fields. PARENT_EVENT EXTRACTOR: when the bet is one leg of a partition (Yankees WS, Romania election), result.parent_event{matched_candidate, top_legs_by_price[], partition_size, placeholders_filtered} gives you the peer prices in one place — that's the headline for elections/championships. NEWS FIELDS: news entries carry _fallback_attempted / _fallback_failed_reason / retry_after_sec when GDELT 429s and GNews backfill ran or failed. SAFETY: low-confidence resolutions short-circuit with status:"low_confidence_match" and suppress analysis fields so agents can't accidentally size on phantom matches. Closed/dead markets that ARE still indexed by Polymarket (yes_price≈0, no volume, no liquidity) return status:"market_closed_or_inactive" and skip fan-out. In practice resolved markets are usually de-indexed and instead surface via the low_confidence_match path above — both routes are BLOCKING, just different mechanisms. Wide-spread markets (>10pp) carry tradeability:"illiquid_wide_spread" + an explanatory note. RESOLUTION-RULE RISK: market.cancellation_rule parses the void/postponement settlement out of the resolution text — refund_50_50 (shares settle flat 50¢ on void; EV-material for any entry away from 50¢, with ev_impact quantified), resolves_no_on_cancel, resolves_yes_on_cancel, carries_to_reschedule, or mentioned_unclear. null means the description never mentions cancellation. Check this before sizing sports/esports/event-occurrence bets — audited arb-bot ledgers show flat-50¢ void settlements are a recurring pure-rules loss.

Search Polymarket markets by keyword (e.g. 'election', 'fed', 'bitcoin'). Returns question, slug, 24h volume, liquidity, end date.

Search Kalshi prediction markets (CFTC-regulated event contracts). Returns events ranked by aggregate 24h volume across all markets in the event. Kalshi categories include Elections, Politics, Economics, Climate, Sports, Entertainment, Financials. Public data, no auth needed. Each event has one or more child markets (mutually exclusive or yes/no).

Search active federal contract opportunities from SAM.gov. Returns solicitations with deadlines, urgency flags (<=14 days), agency, NAICS code, set-aside type, and AI BD briefing. Filters: keyword, naics, set_aside (SBA/8A/WOSB/HUBZone/VOSB/SDVOSB).

Repurpose any URL into four content formats in one call: LinkedIn post, tweet thread, newsletter section, and SEO meta summary. Best for turning research reports, blog posts, or news articles into ready-to-publish social content. Cost: $0.15 via x402.

Convert any PDF document (via URL) to clean Markdown. Returns full markdown text, page count, word count, table count, metadata, and an AI summary. Useful for extracting structured content from whitepapers, reports, contracts, or research papers.

Hire Floyd, LoneStarOracle's autonomous coding agent. Analyzes a GitHub repo, writes code, runs tests, and opens a pull request. Pass a task description and optional repo URL. Returns pr_url when complete. Best for well-scoped coding tasks: bug fixes, feature additions, test coverage, refactors. Floyd also hunts GitHub bounties, does web research, and can handle complex multi-step tasks with context. Cost: $0.50 via x402.