Every agent-payable API.

Deep-dive on a tracked market theme/narrative (?theme=ai-sentiment-divergence, altcoin-decoupling, macro-risk-off, regulatory-pressure, tradfi-adoption, or free text): is it strengthening or fading, which assets it moves, and the desk's read. Descriptive research, not financial advice.

Market-wide crypto regime read in one call: overall sentiment score, regime id, macro anchor and the top narrative driving the whole market right now. Live analyst read, not a cached aggregate. Descriptive research, not financial advice.

Summarize the safety complaints owners filed for a vehicle make, model and model year, with the newest ones.

Consumer defect complaints on file for any US-market vehicle, by VIN or year/make/model: affected components, crash and fire involvement, injuries and deaths, incident and filing dates, and the owner's own summary — newest first, filterable by component keyword like BRAKES or ENGINE. The raw signal behind reliability scores. For used-car vetting, claims, and diagnostics agents.

Give the federal crash test star ratings of a vehicle make, model and model year.

Vehicle crash safety lookup: official star ratings for overall, frontal, side, and rollover performance with driver- and passenger-side detail, rollover risk percentage, and on-file complaint and recall counts for context. Ideal for buy-recommendation, insurance-pricing, and family-car-picker agents.

Look up official fuel economy, annual fuel cost, electric range and emissions for a vehicle model year.

Decode a vehicle identification number into make, model, year and build details.

Vehicle identification number decoder: full 17-character or partial VIN in, structured vehicle record out — make, model, model year, trim, series, engine, transmission, drive type, doors, and gross vehicle weight rating. Built for car marketplaces, fleet tools, and diagnostics agents that need authoritative specs.

Vehicle Identification Number validation (ISO 3779): 17-char structure, check digit (position 9), WMI/VDS/VIS decomposition and model-year code.

Official vehicle safety recall check by VIN or year/make/model: every open recall campaign with affected component, defect summary, safety consequence, remedy, report date, and do-not-drive / park-outside fire-risk flags. Pass a VIN and the vehicle is identified automatically. Zero recalls is a real answer. For pre-purchase checks, fleet compliance, and dealer agents.

Vehicle safety recalls (NHTSA) by make, model and year — Genesis402 / UnyKorn Operator Network

List the safety recalls issued for a vehicle make, model and model year.

Vehicle safety report by VIN or make/model/year from NHTSA: recall campaigns (vehicle vs aftermarket-equipment, park-it flags), complaint totals (crashes, fires, injuries, deaths, top components), NCAP 5-star ratings, and investigation count. Model-level data -- not VIN-specific open-recall status.

US safety recalls for a vehicle make, model and year from NHTSA: campaign number, date, component, summary, consequence, remedy and do-not-drive or park-outside warnings. Use before buying or servicing.

NHTSA safety recalls for a vehicle by make/model/year: campaign number, affected component, summary, consequence, and remedy. Live gov data, no key. ?make=honda&model=accord&year=2019

Embeds up to 32 texts on the local Ollama runtime. Returns explicit model and dimensions; no paid third-party API is called.

Calculates item co-occurrence and item similarity from the submitted events only. No user profile is stored.

Embeds up to 32 texts on the local Ollama runtime. Returns explicit model and dimensions; no paid third-party API is called.

Embeds one query and up to 64 candidates locally, then returns cosine scores and stable descending ranks.

Embeds one request and a provided tool list locally, then returns deterministic similarity ranks and the selected tool.

Structural IBAN (MOD-97) and LEI-format checks plus a network-wide settle count. Not an identity, credit or fraud assessment; no per-counterparty history is held.

Is this vendor or domain safe? One call runs cert, DNS, email security, ransomware leak-site listing and vendor status checks and returns a verdict (safe, caution, risk, incomplete). $0.04 USDC on Base. Not charged if every check fails or input is invalid.

Extract structured text, summaries, or metadata from supplied document text or a public HTTP(S) document URL.

Compare two supplied public-source text versions and return bounded, hash-backed evidence of change.

Startup legal-formation guide — country-specific structure, formation steps, costs, key documents and investor tax incentives (SEIS/EIS/QSBS) across 15+ jurisdictions. For founder agents.

Cap-table dilution modeler — post-round ownership, dilution percentages, exit-scenario modeling and benchmark comparisons. For founder and startup agents.

Term-sheet decoder — plain-English explanation of every clause, founder-hostile red flags, market-norm comparisons and negotiation guidance. For founder agents.

TAM/SAM/SOM market sizing that withstands VC scrutiny — bottom-up and top-down, comparable data, stress-test questions and how to defend your numbers. For founder agents.

Investor due-diligence prep — data-room structure, what VCs verify at each stage, deal-killing red flags and timeline expectations. For founder and startup agents.

Pitch-deck scorer against VC frameworks (Sequoia, a16z, YC) across 8 dimensions — scores, improvement notes and the exact questions VCs will ask. For founder agents.

The broker view of a venue (a contract or wallet users pay into): every wallet that transacted with it in the window, the value segments of the book, VIP candidates by volume, which wallets went quiet (last transfer before the final third of the window), and which funding wallets carry a curated flag. Built for the 'user & VIP intelligence', 'transaction monitoring / KYC-KYB' and 'who is behind ...

Hyperliquid execution quality measured on our own orders: slippage vs mid (p50/p90 bps), taker fee actually paid, wall-clock to fill, fill rate — for perps and xyz tokenized equities — plus a liquidity snapshot (spread, round-trip cost, depth within 1%, funding APR) for the 25 deepest assets. Thousands of real IOC fills, refreshed continuously.

Vercel AI Gateway pricing table: per-token cost of every AI model Vercel AI Gateway serves, in one call — input, output, cache and batch USD per 1M tokens, ranked cheapest first, with context window and capability flags joined in. Compare LLM token cost inside Vercel AI Gateway and against other providers hosting the same model. Normalized from public sources, cross-checked, refreshed hourly.

Before handing a user message to an assistant: does it try to push the assistant off its task or to pull out its hidden setup text? Code spots known phrases, encoded blocks and invisible characters; the engine reads disguised requests (role-play, fiction, rewordings). Returns allow, review or block.

Before an agent opens or follows a link: is this address a trap? Code finds the technical signs (IP address, deceptive characters, hidden at-sign, shortened link, lookalike of the expected brand), then the engine reads what code cannot see: imitation of a known brand and a message that pushes to cli

Before an agent trusts a sender: is this email address suspicious? Code compares the domain with the expected one (lookalike, other domain), spots disposable addresses, deceptive characters and free mailboxes used in the name of an organisation; the engine judges whether the display name and subject

Rule-based long/short/watch/avoid verdict for one trade.xyz stock perp, combining perp-vs-stock gap, basis, funding and SEC EDGAR insider/8-K/13D/dilution filings (14d). Data, not financial advice.

Is this token any good? Grade BASED/MID/COOKED/RADIOACTIVE, 0-100 score, one-liner, roast and reasons from live data: honeypot buy/sell simulation and taxes, owner powers (Base) or mint/freeze authority (Solana), liquidity, volume, buys/sells and pool age across all DEX pools. Body {"tokenAddress":"0x..."} or {"chain":"solana","tokenAddress":"<mint>"}. Synchronous.

One-call verdict on any ERC20 on Base, Ethereum, Polygon, Arbitrum or Optimism: a machine-readable label for who can act on your balance (no-owner-powers, owner-can-intervene, owner-controls-balances, not-a-token), a headline, a plain-language reading and a paste-ready card - with the deterministic evidence underneath, selector by selector. Label, score and card come from the deployed bytecode and live state, never from a model. Research, not investment advice.

An independent yes-or-no style verdict, with a short reason, on a men's clothing item or outfit. Called by an agent before purchase. No affiliate cut, no placement fees.

One-line safety verdict (GO / CAUTION / HONEYPOT_RISK) for (owner/name) — impulse-priced pre-flight check

Verdict API: independent verdict (clear / caution / block / unknown) on an address, contract, agent, domain or transaction — Genesis402 / UnyKorn Operator Network

Pre-flight guardrail for untrusted text before an LLM agent reads it: prompt injection, data exfiltration requests, secrets and API keys, personal data, toxicity. A la carte: pick the checks (price drops with them), the sensitivity (strict, balanced, lenient) and an optional consensus of independent

Tool results (MCP servers, APIs, search, file reads) are untrusted content the agent re-reads. Detects a result that gives orders to the agent, strays from what the tool should return or asks to send data (tool poisoning). Returns allow, review or block.

Invoice-fraud guard for AI agents that pay bills. Detects supplier bank-detail change fraud (BEC) before payment: checks the IBAN and sender domain against your supplier record (lookalike domains included), then reads pressure and off-channel requests. Returns ok, verify_callback or freeze_payment.

For model cascades: is the small model's answer usable, or should the larger model be paid? Detects refusal, evasion, off-topic answers, contradiction and incompleteness; decides accept, review or escalate. Does not fact-check without a source: provide the source to check substance.

Did a model reply leak what it should keep secret? Canary tokens and secret phrases searched by code (even split, spaced or uppercased), then paraphrases of the system prompt read by the engine. Returns clean, review or leak.

Pre-trade risk check for traders and trading bots. Before an order is sent, checks it exactly against your own rules (risk per trade, daily loss, max loss, cooldown after a loss, trade quota, blocked hours, days and instruments, minimum reward to risk) and computes the largest size still allowed. If

Before an agent installs an MCP server, skill or tool: is the description poisoned (hidden orders to the agent), does it ask for more permissions than its purpose, does it imitate a known tool? Code checks (lookalike names, broad permissions, hidden text) then a reading of the descriptions. Judges t