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SignalDesk AI – OpenAPI Tools Discovery
x402
SignalDesk AI – OpenAPI Tools Discovery is a paid API for AI agents from x402-agent.kariguetoazul.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-13).
Converts an OpenAPI/Swagger JSON document into a structured list of callable tool definitions (function-call schemas) for use by AI agents.
Price / call$0.002
Success—
StatusUnknown
How this service works
Evidence-backed autonomous AI jobs and paid data tools. Queue/D1/cron run outside the chat; free quotas and bounded execution apply.
Output
Returns a JSON object containing an array of tool definitions, each with a type ('function'), a function object (name, description, parameters as JSON Schema), and metadata (HTTP path, method, auth requirements). Also includes flags: metadata_only (true), untrusted_metadata (true), external_refs_resolved (false), indicating no external $refs are fetched and the output should be treated as untrusted metadata.
Example use cases
Auto-generate agent tools from internal API
“Here's our internal inventory API as an OpenAPI JSON object — can you convert it into a set of function-call tool definitions so our AI agent can start calling it directly?”
Explore available endpoints in unfamiliar API
“I just got this third-party Swagger spec and I have no idea what it can do — can you parse it and give me a structured list of all the callable tools and what parameters each one needs?”
Bootstrap LLM tool registry from spec
“We're building an agent that needs to call our billing API. Take this OpenAPI JSON and extract all the endpoint tool schemas so we can register them in our LLM's tool registry.”
Technical details
Endpoint
POSThttps://x402-agent.kariguetoazul.workers.dev/api/discovery/openapi-tools?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically convert an OpenAPI/Swagger JSON spec into LLM-compatible function-call tool schemas without building a parser yourself. It is particularly useful when bootstrapping AI agents that need to call arbitrary REST APIs described by OpenAPI documents. Prefer it over manual parsing when you want a fast, structured output with HTTP method and auth metadata already extracted. Not suitable if you need external $refs resolved or if you need to call the discovered tools directly (this is metadata-only).
Side effects
- Invalid or malformed OpenAPI JSON input returns an error — the document must be a valid JSON object
- External $ref references in the spec are never resolved, so tools referencing external schemas may have incomplete parameter definitions
- Free quota exhaustion may result in rate limiting or blocked requests
- Bounded execution limits may cause incomplete parsing of very large OpenAPI documents
- Missing required 'document' field in request body causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| document | — | OpenAPI/Swagger JSON object; external refs are never fetched. |
Output
Schema · Response
{
"type": "json",
"example": {
"tools": [
{
"type": "function",
"function": {
"name": "get__things",
"parameters": {
"type": "object",
"required": [],
"properties": {
"limit": {
"type": "integer"
}
},
"additionalProperties": false
},
"description": "List public things"
},
"metadata": {
"path": "/things",
"method": "GET",
"requires_auth": false
}
}
],
"metadata_only": true,
"untrusted_metadata": true,
"external_refs_resolved": false
}
}Tags
x402
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