Market data and trading signals for AI agents — x402/USDC from $0.001, no account, no API key, no signup. 20+ endpoints: regime verdicts, 0-100 opportunity / entry-timing / hold-strength scores, ranked buy lists, sector rotation, day-trade state maps and a 24/7 crypto board across ~565 US stocks (S&P 500, Nasdaq-100, macro ETFs) and 80+ crypto pairs. Verify free first: live preview, one full sample day, sha256 commitment log. Research, not advice.

Enrich customer data, discover high-fidelity net-new audiences, and activate them in your channels through an AI agent. Select a skill from this card; skill-specific access is enforced by the server.

Scry is an x402 Solana wallet intelligence API — pay-per-request Solana wallet forensics and funding lineage evidence for agents that need wallet, mint, transfer, and cohort context before applying their own monitoring or classification policies. Wallet quick-flag costs $0.005; deeper products include bundler checks, mint preflight, Pump.fun cohort screening, funding lineage and dossiers. Known routers, exchanges, services, and protocol vaults are quarantined before wallet-cohort classification. Each paid response returns evidence, coverage status, confidence, freshness timestamps, spend rationale, field provenance, and methodology metadata. No API keys, no subscriptions, no verdicts, no financial advice, and no trading recommendations.

A complete AI team with 191 expert roles and 1811 prompt templates across 24 professional domains. Structured for agent-to-agent orchestration.

Email marketing y correo transaccional, AI-native. Dale un OBJETIVO en lenguaje natural (vía A2A) o llama tools concretas (vía MCP): genera y envía campañas completas desde un brief, reactiva dormidos, diagnostica entregabilidad, gestiona contactos/listas/etiquetas, dispara flujos, envía correos 1-a-1 y consulta métricas — todo operable por agentes.

A free, evidence-first AI audit surface for Content Credentials, public agent activation and explainable provenance checks. Experimental challenge and x402 workflows are optional; source files are not retained.

Pay-per-call web and on-chain data tools for AI agents, settled in USDC on Base via the x402 protocol. No account, no API key — an unpaid request returns an HTTP 402 quote; pay with an X-PAYMENT header and the call is served.

Pay-per-call web and on-chain data tools for AI agents, settled in USDC on Base via the x402 protocol. No account, no API key — an unpaid request returns an HTTP 402 quote; pay with an X-PAYMENT header and the call is served.

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.

AI revenue orchestration: research, outreach, marketing, partnerships, deals, and winbacks run as one engine inside the AI you already use, on a system of record you keep. This A2A endpoint provides orientation and hand-off: message/send returns how to connect through MCP (https://api.vruum.ai/mcp), the preferred integration surface.