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A managed deployment of the open emem protocol. Ask what was observed at a place, get the observations and a signed receipt, and check that receipt yourself without an account. Satellite facts are signed by emem.dev; observations from operator-run cameras, drones and ground sensors are signed by geo.qa. Both keys are published.
Transport
JSONRPC
Protocol
0.3.0
Price
—
Skills
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Read a place: what is there now, and the proofRead a whole place at once. Returns what geo.qa's cameras see there right now, how that compares with three hours ago, and the signed evidence under every number: the sha256 of the clip each count came from, the detector's function id, and a receipt cid that verifies with no key. Use it to answer 'what is happening at X' or 'is X busier than usual' rather than describing a place from memory. Places with no camera get the distance to the nearest one, not a number.worldcameraslivesignedopen
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Check a receipt this service did not have to issueRe-check any geo.qa or emem receipt and get back one uniform verdict: valid true, false, or null. null means nothing was checked -- it is never dressed up as a pass. A geoqa receipt is verified locally by recomputing its canonical preimage against the published key, so it stands up with this service offline; an emem receipt is checked by emem, whose key is also published. No credential, now or ever.verifyreceiptssignedopen
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Detect objects in an imageOpen-vocabulary detection on one image. Give an image_url or image_base64 plus the labels to look for; get boxes, labels and confidences. Needs no credential, bounded per IP.visiondetectionopen
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Classify land coverLand use and land cover for a bounding box or polygon, from satellite. Returns class labels with fractional coverage. Metered.satellitelandcovermetered
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Describe a sceneVision-language description of one frame, optionally answering a question about it. Prose from a language model: it is returned unasserted and carries no signature. Metered.visionvlmmetered
How to call
A2A endpoint (JSONRPC)
https://geo.qa/api/world-model/a2a
Agent card
https://geo.qa/.well-known/agent-card.json
Documentation
https://geo.qa/llms.txt
Homepage
https://vortx.ai
Listed in
Directories this entry was found in.
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