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vrsai OpenAPI Agent Readiness Assessor
x402
vrsai OpenAPI Agent Readiness Assessor is a paid API for AI agents from api.vrsai.tech, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-10).
Scores and audits an OpenAPI description across six dimensions to determine how well-suited it is for autonomous AI agent consumption.
Price / call$0.03
Success—
StatusUnknown
How this service works
Assess an OpenAPI description for autonomous-agent usability.
Output
Returns a numeric score (0–100), a verdict string (e.g. 'ready'), a summary of paths/operations/schemas/findings, an array of specific findings with details, and per-dimension scores for structure_and_version, operation_semantics, request_contracts, response_contracts, authentication_and_access, and machine_operability, along with the detected openapi_version and ruleset_version used.
Example use cases
Pre-publish API readiness gate
“Before I publish this OpenAPI spec to our developer portal, run it through the agent-readiness assessor and tell me the overall score, verdict, and any findings I need to fix — especially around response contracts and authentication.”
CI pipeline spec quality check
“I'm adding an automated check to our CI pipeline. Assess this OpenAPI JSON body for autonomous-agent usability and return the dimension-by-dimension scores so I can fail the build if the score drops below 80.”
Third-party API evaluation
“We're considering integrating a vendor's API into our agent workflow. Can you assess their OpenAPI description for agent readiness and tell me if it's marked 'ready', plus flag any gaps in operation semantics or machine operability?”
Technical details
Endpoint
POSThttps://api.vrsai.tech/v1/capabilities/openapi_agent_readiness?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a structured, multi-dimensional, machine-readable quality score for an OpenAPI spec specifically from the perspective of autonomous agent consumption — not just syntactic validity. It is superior to generic OpenAPI linters when the goal is ensuring AI agents can reliably discover, authenticate, and call the API without human intervention.
Side effects
- Malformed or non-parseable OpenAPI body returns a validation error
- Missing required 'input' object or incorrect bodyType causes a 400-level rejection
- Specs with no defined paths may produce minimal scoring with low scores across most dimensions
- Very large OpenAPI specs may trigger truncated findings (findings_truncated: true)
- Wrong method enum value (not POST) will be rejected by input schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"score": 100,
"summary": {
"paths": 1,
"schemas": 0,
"findings": 0,
"operations": 1,
"findings_truncated": false
},
"verdict": "ready",
"findings": [],
"dimensions": [
{
"id": "structure_and_version",
"score": 15,
"max_score": 15
},
{
"id": "operation_semantics",
"score": 20,
"max_score": 20
},
{
"id": "request_contracts",
"score": 20,
"max_score": 20
},
{
"id": "response_contracts",
"score": 20,
"max_score": 20
},
{
"id": "authentication_and_access",
"score": 10,
"max_score": 10
},
{
"id": "machine_operability",
"score": 15,
"max_score": 15
}
],
"openapi_version": "3.1.0",
"ruleset_version": "1.1.1"
}
}Tags
x402
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