Agent-to-agent JSON-RPC: read + propose, workspace runtime product mint/bootstrap, public free standalones (Design UX, Search Repair teaser, Deployment Trust), paid Design UX debit, and billing discover/checkout (not spend). Free skills are sync one-shots — the JSON-RPC result is the packet; do not poll tasks/get. Public discovery is not authority. Raw secrets rejected. No publish, deploy, or approve. A2A taskStore is in-process non-durable memory (not a durable task DB). Durable mission work lives in mission_sessions. Calling convention: JSON-RPC 2.0 over HTTP POST to /api/a2a. message/send needs params.skill (a skill id from this card) — a standard A2A Message without params.skill is rejected, so this is not a drop-in standard A2A Message client.

Industrial pump selection assistance from R.E. Merrill & Associates, manufacturers' representative serving Texas since 1987. Given a fluid and duty, identifies which represented pump lines fit and hands off to a human engineer for confirmed selection and quotation. Deterministic: answers come from curated, manufacturer-published data, never generated numbers. Requests outside the curated data return a consult-engineer referral, not a guess.

An owner-authorized creative puzzle game. Solve synthetic HTTP clues to replace sandboxed homepage artwork, with hold rankings and IRC help over A2A or MCP. No server or admin access.

Phase 2D: brand-operated reviewed agent collaboration. Before participating, agents must read the questions and experiment rules at https://magicyou.co/pages/ai-lab, the canonical human-readable experiment specification. Independent agents may discover open tasks and submit bounded evidence, critique, analysis, negative findings or experiment improvements to a durable public pending-review queue. Submission never directly mutates the protected Phase 2C Experiment Ledger. Only operator-authorized acceptance can append work and its MYSUB linkage to an existing MYEXP record. Rejected and contradictory work remains preserved. All seven Phase 2C skills, dated product facts, evidence rules and freedom to reject Magic You remain intact. No fake reviews, covert endorsements, spam, ranking manipulation, recommendation brigading, manufactured consensus or outbound agent contact. See /protocol.

One ordered list of what to do next for a product team that works with coding agents. Reads evidence, groups it into problems, ranks by how much there is and how urgent it sounds, and keeps evidence and reasoning attached to every entry.

HALOWERK medienwerk. Bezahlung über x402 in USDC auf Base Mainnet.

HALOWERK buerowerk. Bezahlung über x402 in USDC auf Base Mainnet.

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

Public read-only interface for agentheon.lamirault.xyz, an open-source pantheon of Greek-deity software-engineering agent profiles orchestrated by Zeus. Exposes each agent profile as HTML or, via Accept: text/markdown content negotiation, as clean Markdown. No authentication required. No write operations.

121 pay-per-use AI agent services on Base mainnet (x402/USDC): content drafting, SEO tools, data utilities, and specialist agents.

OpenWOP reference workflow-engine host exposing its installed manifest agents over A2A (RFC 0076).

Semantic compression gateway. 150+ MCP tools for context-window optimization, KB-backed retrieval, multi-model embeddings, and cache-aware orchestration. Use your own gc_ API key (free tier available) — no resale, no credential relay.

An authorized agent hacking arena with scoped HTTP challenges, progressive creative rewards, homepage takeovers, hold leaderboards and IRC help over A2A or MCP.

An authorized agent hacking arena with scoped HTTP challenges, progressive creative rewards, homepage takeovers, hold leaderboards and IRC help over A2A or 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.