All projects matching “context”

WhiteMagic hosted recall — agent memory for cross-session continuity: read-only hybrid search (BM25 + vector + associative) over a curated public corpus. Call when an agent needs durable context from prior sessions or the public knowledge store. Keyless discovery (initialize/tools/list) is free; free evaluation keys and a daily no-key trial are available. One paid tool call per payment.

Returns whale, CEX, bridge, and stablecoin flow alerts for a chosen chain and lookback window, each with direction, venue, and USD value — use it to catch large capital movements before they move price. Typical agent tasks: check for a large exchange inflow on Base, monitor bridge flows into or out of a chain, track stablecoin issuer mint or burn events, or add on-chain flow context to a crypto ma

Home safety lookup for homeowner and safety agents. Returns CPSC hazard and recall data for home products, with fire and electrical risk context.

Compress long AI-agent context into a concise summary, facts, or episodic memory while preserving key entities.

Overwing guardrail: check text before you send, post, or act on it. Content moderation, PII detection, confidential leak detection, toxicity, self-harm and severity in ~150 ms. Returns a verdict plus one recommended_action (block / redact / review / allow) with calibrated confidence. Pass context (recipient, channel, owns_contact_info) with the outbound-message set. $0.002 USDC, no account.

Returns whale, CEX, bridge, and stablecoin flow alerts for a chosen chain and lookback window, each with direction, venue, and USD value — use it to catch large capital movements before they move price. Typical agent tasks: check for a large exchange inflow on Base, monitor bridge flows into or out of a chain, track stablecoin issuer mint or burn events, or add on-chain flow context to a crypto ma

Evaluate a US property address for parcel match, FEMA flood zone, flood proximity, taxing entities, school district, permit history, zoning/land-use context, insurance red flags, due-diligence risk score, quality score, recommended next steps, and official source links.

Cross-chain ERC-8004 trust score for one (chain, agent) pair — signed JSON with transparent component breakdown (value_avg / client_breadth / volume / recency), per-chain context, and methodology link. USDC pay-per-call on Base mainnet.

Resolves a prefix to its announcing autonomous systems and puts that answer in context. The current state gives every origin AS seen for the prefix, the number of more specific and less specific prefixes routed alongside it, when the prefix was first and last seen, and the visibility expressed as the share of observers that see it rather than a raw count, because the raw count moves with the size

Turn a full recording into a structured document: POST JSON with an audio_url — up to 2 HOURS of meeting, interview, hearing, or podcast audio — and get a diarized who-said-what transcript JSON: timestamps, speaker tracking with per-segment confidence, language codes. Most transcription APIs cap at ~20 minutes; this one runs Gemini long-context, built for the long ones. mp3, wav, m4a, ogg, webm, f

Momus on Robinhood Chain: his full written read on a tennis match priced on Meridian Predict (the on-chain prediction venue on Robinhood Chain) — his chance vs the Meridian blind-auction price, the edge, the call (position / would-bet / pass) and the tennis context (form, head-to-head, surface, books); for positions the payout multiple and the return as % of stake. q = player, match or tournament;

Fill a PDF form using facts found in supporting documents. Also: fill a PDF form from DOCX, spreadsheets, images, JSON, or other documents; pre-fill a government form from supporting paperwork; complete an application from a resume or company details; extract answers from context documents into a form. Price scales with page count; this 402 carries the exact amount for the PDF sent.

Read a current closed-candle Market DNA regime/context snapshot for one asset. The canonical bare request defaults to BTCUSDT and returns structured trend, volatility, state, and context JSON; it does not provide ranking, history, predictions, or profit claims. The primary multi-asset product is /m2m/intelligence.

Prioritize up to 50 CVEs in one request using FIRST EPSS, CISA KEV, and known ransomware signals. Returns deterministic risk scores, urgency tiers, exploitation signals, vendor/product context, and remediation metadata as machine-readable JSON. Built for security automation and AI agents. No account or API key required. $0.01 per successful request via x402. Invalid input, no-signal results, and t

QSIG gold macro context, point-in-time: regime label, CFTC positioning with release time, FRED real yield and breakeven, GeoRisk and gold-linked theme stress, and the 5 nearest historical analogs. Optional as_of for backtests without look-ahead. Computed observation, not a forecast

WOD Coach: a personalised training programme by an AI coach for $0.35 USDC on Base. Handles injuries with enforced movement substitutions, custom equipment lists, single sessions or 3–8 week progressive blocks (Baseline → Volume → Intensity → Deload). JSON body: equipment, user_context, duration. Returns Markdown, or JSON with ?format=json.

Verify a claim against supplied context or live web evidence.

Ask a real person for a short written answer where human judgment matters: an opinion, a moral or social call, taste, or native-speaker intuition. Send 'question' (and optional 'context'); a human answers within 24 h. Add follow_up_of to continue a conversation with the same person. Not for facts or code. Declined or late requests are refunded.

Fetches a public web page URL and returns its main article content as clean Markdown with title, byline and excerpt; strips navigation, ads and scripts. Useful for RAG ingestion and LLM context.

Fetch any public webpage and return clean, agent-ready content for RAG, LLM context, research, and summarization. Strips navigation, ads, and boilerplate from static or JavaScript-rendered pages. Supports markdown, plain text, or structured JSON output.

Alex Hormozi advisor (Offers, pricing, and sales). Send POST with JSON body {"question": string (8+ chars), "context"?: string}; returns JSON {persona, answer, disclaimer, usage}. AI simulation based on publicly available information. This is not Alex Hormozi, is not written, reviewed or endorsed by Alex Hormozi, and does not speak for them. General information only, not financial, legal, tax or m

One immutable English Pharos article for this exact topic/location URL. Source-backed editorial data with geographic context; no local inspection, quote or production authorization.

One immutable English Pharos article for this exact topic/location URL. Source-backed editorial data with geographic context; no local inspection, quote or production authorization.

Find 3-10 scholarly candidates for a question or topic. Returns DOI/OpenAlex IDs, authors, year, venue, source URLs, citation context, open-access location, and known retraction/correction warnings. JSON only. Does not claim that a paper proves a statement.

Detect and redact PII in text or JSON. Recognizers are pure pattern/checksum matching (regex + Luhn/mod-97/SSN-area validation) — no LLM calls, no external services. Person names and dates of birth are matched only via nearby context (e.g. 'Mr. Smith', 'DOB: ...'), not general NER, to keep false positives low.

Decision arbitration: submit context, options, constraints, and risk_tolerance; receive a structured JSON verdict with confidence score, reasoning, and escalation flag.

TailTrace provides evidence-based aircraft identity, registration history, and regulatory intelligence for AI agents, aviation applications, and aircraft due-diligence workflows. Resolve physical aircraft identities, investigate historical evidence, and access available safety and regulatory context with source provenance and uncertainty preserved. Return the fuller available evidence-based aircra

Cost-aware perpetual funding pulse for trading agents. Returns three interval-normalized cross-venue venue pairs with gross funding dollars, caller-supplied all-in costs, projected net funding, break-even time, liquidity tier, and BTC/ETH/SOL context.

Evidence-ranked root-cause analysis from issue text, logs and supplied code context.

Automated /llms.txt & Agent Documentation Context Compiler (/v1/llms-generator) — Crawls any documentation or SaaS site and compiles a standards-compliant /llms.txt manifest and JSON-LD schema bundle. (https://llms-generator.agentdiet.dev/v1/llms-generator)