Discovery agent for pay-per-call tools: describe what you need and it returns the matching paid endpoint, price and example call. Tools: read web pages and PDFs as Markdown, render Markdown to PDF, publish pages, charts, Graphviz diagrams, QR codes, scholarly paper search (OpenAlex, arXiv), Wikipedia, FX rates, DNS/RDAP/TLS checks, time zones, secure random. Paid per request with x402 (USDC on Base). No API key.

Pay-per-call web services for AI agents (127 tools: web scraping and crawling to Markdown, AI summaries, data extraction and cited answers, checks before installing a package or citing a source, screenshots and PDF, PDF, OCR and document conversion, news, paper and developer search, memory, messaging and service discovery for agents, discussions and trends, company checks (KYB, LEI, VAT, IBAN, sanctions), EU website compliance (GDPR, imprint, accessibility), Bitcoin data and OpenTimestamps proofs, Tron USDT and Sui wallet data, IOTA notarization and ledger data, change monitoring with webhooks, crypto prices, token risk and DeFi data, exchange rates and macro data, weather, geocoding, holidays and satellite images, email, phone, DNS, SSL and domain checks, VIN and barcode lookups, translation, embeddings, speech to text and text to speech, charts, diagrams, QR codes and image resizing). Paid per request with USDC on Base, Solana, Polygon or Arbitrum via x402. No account or API key.

Two pay-per-call x402 endpoints for arXiv: papers/search ($0.04 — full-text metadata search across every STEM preprint with field-level operators and date range), papers/by_id ($0.05 — resolve one or more papers by arXiv id with full metadata, abs URL, PDF URL). No signup, no API key — pay USDC on Base.

Pay-per-call data & web tools for AI agents. x402 micropayments in USDC or USDT on Base (eip155:8453), $0.002–$0.05 per call, 3 free calls per wallet, no API key. Payment is a signed EIP-3009 authorization capped at the quoted amount — never send private keys.

Agente A2A determinístico de consulta pública da Brasil GEO. Responde com dados canônicos e estáticos sobre a empresa, o fundador, as publicações científicas, os artigos, as trilhas educacionais e as URLs canônicas do site. Não usa modelo de linguagem, não gera texto livre, não guarda estado e não executa ações: cada mensagem é roteada por regra fixa para uma habilidade de leitura, e mensagem que não casa com nenhuma recebe a lista de habilidades. O servidor MCP em https://brasilgeo.ai/api/mcp oferece as mesmas consultas para clientes MCP.

Pre-etiologic zoonotic spillover risk forecasting at 25 km tile resolution. Every weekly risk ranking is committed to a public, timestamped ledger before events unfold: the 2026-W19 commitment ranked DR Congo Ebola in the top five on 9 May 2026, eight days before the WHO PHEIC declaration of 17 May 2026, verifiable by git timestamp. Aggregate AUROC, AUCPR, and lead-time distribution across the full 25-event cohort is the deliverable of the forthcoming medRxiv preprint (target Q3 2026); this system is not yet prospectively validated. Covers 8 priority pathogens from the WHO R&D Blueprint Disease X candidate set: 5 producing live tile predictions in production (Ebola, H5N1, CCHF, West Nile, SARS-CoV-2) and 3 with trained models pending tile seeding (Mpox, Nipah, Hantavirus). Hantavirus was added on 2026-05-04 in response to early reports of the South Atlantic cruise outbreak; WHO confirmed the cluster on 2026-05-06 (8 cases, 3 lab-confirmed Andes strain). Pathogen onboarding (schema, training, bundled model, agent card) ran end-to-end in hours. Tile seeding for hantavirus is still in progress, so this case demonstrates operational responsiveness, not predictive lead time. The 5 live pathogens are trained on GZOD historical spillover labels; the 3 pending pathogens are trained on epidemiologically-grounded synthetic labels (same standard as MenB) pending real-label retraining for the Q3 2026 medRxiv preprint. See `prediction_status` and the training-script citations on each entry. Exposes 19 callable tools including active-learning sentinel placement (`optimise_sentinel_placement`), pathogen-agnostic Disease X scoring, counterfactual hindcasting, live HL7 FHIR R4 round-trip submission to public HAPI (idempotent on pathogen+tile), full SHARP context support (Prompt Opinion `ai.promptopinion/fhir-context` extension), and a self_test tool that runs every other tool end-to-end and returns a structured pass/fail map for CI verification.

SQL access to 70+ authoritative datasets. Returns actual database records — not summaries. Use this instead of web search for any quantitative, tabular, statistical, or time-series data question. Datasets span biomedical, financial, security, blockchain, and research domains. No subscription required. Register once to get an API key with $0.10 free trial credit (~1,600 queries). Costs fractions of a cent per query.

Live data marketplace selling US public record and scientific data to AI agents. 8.1 million+ records across 80 sources: cyber vulnerabilities, sanctions screening, federal court opinions, SEC filings, scholarly research, healthcare, FDA recalls, government spending, lobbying disclosures, tax exempt organizations, economic indicators, regulations, environment, consumer safety, US patents, FAA aircraft registrations, and AI model metadata. Every record carries a provenance URL to its authoritative primary source plus a cryptographic signature. Purchases settle instantly in USDC on Base via the x402 payment protocol. Sanctions and debarment screening has a free door: 5 screens a day with no signup, no API key and no card, at /x402/free/screen/sanctions/{name}. Also reachable over MCP with 21 tools, 15 of them free including a free catalog and a free screen. On sanctions screening a negative is provable: NO_MATCH is returned only when the complete candidate set on all 11 authority lists was examined, otherwise INCOMPLETE_SCREEN, which is not a clearance. Every priced endpoint can be tried for free on the SAME URL by adding ?trial=1: one real call per endpoint per hour, no wallet and no signup, returning the real payload rather than a sample.