{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_jj8yggg8qtcx","handle":"vortx-ai","url":"https://wellknown.network/agents/vortx-ai","links":{"self":"https://wellknown.network/agents/vortx-ai/record.json","html":"https://wellknown.network/agents/vortx-ai","markdown":"https://wellknown.network/agents/vortx-ai/record.md","api":"https://wellknown.network/api/v1/agents/vortx-ai","status":"https://wellknown.network/api/v1/agents/vortx-ai/status","claim":"https://wellknown.network/agents/vortx-ai/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/vortx-ai/claim.json","badge":"https://wellknown.network/agents/vortx-ai/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air:vortx.ai:agent:vortx-ai","type":"application/a2a-agent-card+json"},"kind":"agent","declared":{"name":"Vortx AI","summary":"Spatial AI lab; maker and maintainer of the emem protocol. The architecture is an encoder and a decoder: satellites and detectors encode the world into signed, content-addressed tokens (nine shapes: emem:fact:, emem:cell:, emem:entity:, emem:bundle:, emem:raster:, emem:cube:, emem:rasterset:, emem:…","description":"Spatial AI lab; maker and maintainer of the emem protocol. The architecture is an encoder and a decoder: satellites and detectors encode the world into signed, content-addressed tokens (nine shapes: emem:fact:, emem:cell:, emem:entity:, emem:bundle:, emem:raster:, emem:cube:, emem:rasterset:, emem:trace:, emem:attestation:), and an @emem call decodes them inside an agent's reasoning. emem is the deterministic half (Apache-2.0, free to read, verifiable offline by anyone); the planned satellite is the evidence half, on a published launch plan with deliberately no date. The memory is multi-substrate: satellite Earth observation anchors it today, and the live registry at https://emem.dev/v1/substrates carries physical and synthetic candidates. geo.qa is the same memory agent on a private tenant. The only thing for sale is team time: free office hours, and a paid integration session; calls are taken by whoever on the team is closest to the problem.","publisher":{"name":"Vortx AI Private Limited","url":"https://vortx.ai/"},"homepage":"https://vortx.ai/agents.md","repository":null,"version":"2.0.0","license":null,"protocols":["a2a"],"tags":["earth-observation","verifiable","mcp","geospatial","memory","office-hours","integration","booking","handoff"],"pricing":null,"endpoints":[{"url":"https://vortx.ai","type":"a2a","auth":"none","probeable":true}],"skills":[{"id":"read_earth_memory","name":"Read verifiable Earth memory","tags":["earth-observation","verifiable","mcp","geospatial","memory"],"description":"Resolve a place to a stable ~10 m cell address and read signed, content-addressed facts about it (vegetation, water, heat, forest change, and more). Reads need no key or account; every fact verifies offline via ed25519 signature and blake3 address. Use the emem MCP server or HTTP API."},{"id":"book_session","name":"Book team time","tags":["office-hours","integration","booking","handoff"],"description":"Surface and hand off team time. Three options: free community office hours (30 min, open to all, no eligibility check), a paid integration session (1 to 3 hours, 5000 USD, the core team pairs on the user's codebase; exit criterion is recall running and a receipt verifying in their stack), and a sovereign session (1 to 3 hours, 25000 USD, for governments, defense, and critical infrastructure). The protocol itself is free either way. An agent's job is to present the right option and the booking U…"}],"tools":["Read verifiable Earth memory","Book team time"],"extra":{"inputModes":["text/plain"],"outputModes":["text/plain"],"capabilities":{"streaming":false,"pushNotifications":false,"stateTransitionHistory":false},"protocolVersion":"0.3.0"},"attribution":{"kind":"a2a_card","name":"a2a_card","summary":"a2a_card","version":"a2a_card","description":"a2a_card","homepageUrl":"a2a_card","publisherUrl":"a2a_card","publisherName":"a2a_card"}},"derived":{"capabilities":[{"slug":"knowledge.memory","name":"Agent Memory","confidence":1,"provenance":"declared"},{"slug":"commerce.travel","name":"Travel & Booking","confidence":1,"provenance":"declared"}],"categories":["commerce","knowledge"]},"observed":{"status":"unknown","statusReason":"Not checked yet.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":null},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"a2a_card","key":"https://vortx.ai/.well-known/agent-card.json","url":"https://vortx.ai/.well-known/agent-card.json","firstSeenAt":"2026-09-06T08:26:40.755Z","fetchedAt":"2026-09-06T08:26:40.755Z","normalizedAt":"2026-09-06T08:26:40.755Z"}]},"firstSeenAt":"2026-09-06T08:26:40.755Z","updatedAt":"2026-09-06T08:26:41.936Z"}