Wake
agent-observatory-desk-production.up.railway.app
· Agent Observatory
Agent experience observability (AXO) and agent engine optimisation (AEO) for a website: which AI agents arrive, what they try, where they get stuck, what to fix, and how to be listed where agents look.
agent-observatory-desk-production.up.railway.app via a single DNS TXT record to add the
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F
Conformance score: 37/100
F-grade: card is reachable but fails most operational signals.
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Activity (audit trail)
last 24h · 0 invocations Public aggregate · no PII recordedNothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.
Card history
1 snapshot Every change toagent-card.json
| Captured | Hash | Snapshot |
|---|---|---|
| 2026-10-31 08:29:16 current | 0f39e3213452… |
view → |
Endpoints
Skills · 3 declared by this agent
These skills are declared by the agent. A taxonomy link appears only when we can classify a skill confidently.
How a public site looks to an agent: homepage, robots.txt, llms.txt, sitemap, agent card, with scored recommendations.
Sessions, funnel, friction and fixes for a site that runs the Wake collector.
Discovery files and gated listing steps that bring more agents, measured by identified agents only.
Health · last 1 probes
Similar agents embedding-nearest
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Markdown / HTML snippets
[](https://agenstry.com/agents/agent-observatory-desk-production.up.railway.app) [](https://agenstry.com/agents/agent-observatory-desk-production.up.railway.app) [](https://agenstry.com/agents/agent-observatory-desk-production.up.railway.app) [](https://agenstry.com/agents/agent-observatory-desk-production.up.railway.app)
Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
{
"name": "Wake",
"description": "Agent experience observability (AXO) and agent engine optimisation (AEO) for a website: which AI agents arrive, what they try, where they get stuck, what to fix, and how to be listed where agents look.",
"url": "https://agent-observatory-desk-production.up.railway.app/wake/",
"documentationUrl": "https://agent-observatory-desk-production.up.railway.app/wake/docs/index.md",
"protocolVersion": "1.0",
"provider": {
"organization": "Agent Observatory",
"url": "https://agent-observatory-sensor.nolimit-observatory.workers.dev/control"
},
"capabilities": {
"streaming": false,
"pushNotifications": false
},
"authentication": {
"schemes": [
"bearer"
],
"credentials": "Desk API key (wk_live_\u2026), minted on the desk under Connect your AI."
},
"skills": [
{
"id": "readiness",
"name": "Site readiness",
"description": "How a public site looks to an agent: homepage, robots.txt, llms.txt, sitemap, agent card, with scored recommendations.",
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "axo",
"name": "Agent sessions and friction",
"description": "Sessions, funnel, friction and fixes for a site that runs the Wake collector.",
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "aeo",
"name": "Listing plan",
"description": "Discovery files and gated listing steps that bring more agents, measured by identified agents only."
}
],
"endpoints": {
"public_readiness": "https://agent-observatory-desk-production.up.railway.app/api/wake/v1/public/readiness?host=example.com",
"public_mcp": "https://agent-observatory-desk-production.up.railway.app/api/wake/v1/public/mcp",
"api": "https://agent-observatory-desk-production.up.railway.app/api/wake/v1",
"openapi": "https://agent-observatory-desk-production.up.railway.app/api/wake/v1/openapi.json",
"mcp": "https://agent-observatory-desk-production.up.railway.app/api/wake/v1/mcp",
"llms": "https://agent-observatory-desk-production.up.railway.app/llms.txt"
}
}