contextiq.trango-compute.com
Agent Protocol Inspector scan (MCP / A2A / ARD / llms.txt) — per call
The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
Pay 0.02 USDC on Base to 0x4eba…a4c58. The signed payment is good for 5 minutes.
- Paid to
- 0x4eba…a4c58
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 20000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x4eba5ea3cf0f3fc307099317e17e54390f7a4c58",
"amount": "20000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "POST",
"schema": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"description": "URL of the agent/service to scan for MCP, A2A, ARD, and llms.txt support"
}
}
}
},
"output": {
"schema": {
"type": "object",
"properties": {
"origin": {
"type": "string"
},
"scanId": {
"type": "string",
"description": "Look up this exact result later via GET /api/v1/agent-protocol-inspector/{scanId}. Present for an authenticated API-key caller; may be absent if the underlying save failed, which never fails the scan itself"
},
"target": {
"type": "string"
},
"llmsTxt": {
"type": "object",
"description": "Whether an llms.txt file was found, and its URL"
},
"igaPacket": {
"type": "object",
"description": "Full IGA (identity governance) access-review packet — always the full packet for v1 callers (never the anonymous-tier preview the free dashboard route applies). recommendedDecision is approve/approve_with_changes/review/block; capabilities/risks/reviewerQuestions/ownerQuestions/recommendedRemediations are all deterministically template-generated, never LLM text"
},
"protocols": {
"type": "object",
"description": "mcp, a2a, and ard detection results, each with status (confirmed/indicated/not_detected), evidence, and details"
},
"conformance": {
"type": "string",
"description": "pass, warn, or not_applicable (nothing detected) — a rollup of this single scan, not a comparison against a prior one"
},
"capabilities": {
"type": "array",
"description": "Deterministic keyword-rule matches against declared skills and agent-level text (never LLM-inferred). Each entry has a label, category, risk, confidence, activation ('declared' if backed by an actual skill, 'mentioned' if only found in free text), and evidence"
},
"detectedCount": {
"type": "number"
},
"normalizedAgent": {
"type": "object",
"description": "Protocol-agnostic identity/skills model derived from whichever of mcp/a2a/ard was detected — name, provider, interfaces, skills (each with evidence tying it back to a specific field), declared capabilities"
}
}
},
"example": {
"origin": "https://example.com",
"scanId": "b3f1c2a4-...-a1b2c3d4e5f6",
"target": "https://example.com",
"llmsTxt": {
"url": "https://example.com/llms.txt",
"found": true
},
"igaPacket": {
"target": "https://example.com",
"summary": "Example MCP Server declares 1 reviewable capability — recommended reviewer decision: approve_with_changes.",
"packetId": "a1b2c3d4-...-e5f6a7b8c9d0",
"generatedAt": "2026-09-17T12:00:00.000Z",
"highestRisk": "high",
"recommendedDecision": "approve_with_changes"
},
"protocols": {
"a2a": {
"status": "not_detected",
"evidence": []
},
"ard": {
"status": "not_detected",
"evidence": []
},
"mcp": {
"status": "confirmed",
"details": {
"tools": [
{
"name": "search_docs",
"description": "Search the documentation index",
"inputSchema": {
"type": "object",
"required": [
"query"
],
"properties": {
"limit": {
"type": "number"
},
"query": {
"type": "string"
}
}
}
}
]
},
"evidence": [
"Found /.well-known/mcp.json"
]
}
},
"conformance": "pass",
"capabilities": [
{
"risk": "high",
"label": "Fetch and validate remote agent discovery URLs",
"source": "search_docs",
"category": "browse_web",
"evidence": [
{
"field": "tools[].name=search_docs",
"source": "mcp"
}
],
"activation": "declared",
"confidence": "medium"
}
],
"detectedCount": 1,
"normalizedAgent": {
"name": "Example MCP Server",
"skills": [
{
"id": "search_docs",
"name": "search_docs",
"tags": [],
"source": "mcp",
"evidence": [
{
"field": "tools[].name=search_docs",
"source": "mcp"
}
],
"description": "Search the documentation index"
}
],
"evidence": [
{
"field": "endpoint",
"source": "mcp"
}
],
"inputModes": [],
"interfaces": [
{
"url": "https://example.com/.well-known/mcp.json",
"protocol": "mcp"
}
],
"outputModes": [],
"declaredCapabilities": []
}
}
}
},
"schema": {
"type": "object",
"properties": {
"origin": {
"type": "string"
},
"scanId": {
"type": "string",
"description": "Look up this exact result later via GET /api/v1/agent-protocol-inspector/{scanId}. Present for an authenticated API-key caller; may be absent if the underlying save failed, which never fails the scan itself"
},
"target": {
"type": "string"
},
"llmsTxt": {
"type": "object",
"description": "Whether an llms.txt file was found, and its URL"
},
"igaPacket": {
"type": "object",
"description": "Full IGA (identity governance) access-review packet — always the full packet for v1 callers (never the anonymous-tier preview the free dashboard route applies). recommendedDecision is approve/approve_with_changes/review/block; capabilities/risks/reviewerQuestions/ownerQuestions/recommendedRemediations are all deterministically template-generated, never LLM text"
},
"protocols": {
"type": "object",
"description": "mcp, a2a, and ard detection results, each with status (confirmed/indicated/not_detected), evidence, and details"
},
"conformance": {
"type": "string",
"description": "pass, warn, or not_applicable (nothing detected) — a rollup of this single scan, not a comparison against a prior one"
},
"capabilities": {
"type": "array",
"description": "Deterministic keyword-rule matches against declared skills and agent-level text (never LLM-inferred). Each entry has a label, category, risk, confidence, activation ('declared' if backed by an actual skill, 'mentioned' if only found in free text), and evidence"
},
"detectedCount": {
"type": "number"
},
"normalizedAgent": {
"type": "object",
"description": "Protocol-agnostic identity/skills model derived from whichever of mcp/a2a/ard was detected — name, provider, interfaces, skills (each with evidence tying it back to a specific field), declared capabilities"
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-09-18 23:52Z
- Last indexed by Roundhouse
- 2026-09-25 00:30Z
- Last enriched (probe, favicon, geo)
- 2026-09-11 23:16Z
- x402 version
- 2
- Max timeout
- 300s
- Liveness probe
- HTTP 405
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 13 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service contextiq.trango-compute.com and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=contextiq.trango-compute.com' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://contextiq.trango-compute.com/api/v1/agent-protocol-inspector/x402-v2, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.