OpenVerbs Format Validate

x402

OpenVerbs Format Validate is a paid API for AI agents from format.openverbs.com, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-29).

Parses a document in any of 14 supported formats and validates it against a JSON Schema, returning validity status and path-tagged errors

Price / call$0.004

Seller volume →—

Success—

StatusUnknown

How this service works

Parse a document (json, json5, jsonc, yaml, xml, csv, tsv, toml, ndjson, ini, env, properties, plist or querystring) and validate it against a JSON Schema. Returns whether it is valid and a list of precise, path-tagged errors. Malformed input or an invalid schema is rejected before payment.

Output

Returns a boolean indicating whether the document is valid against the provided JSON Schema, plus a list of validation errors each tagged with the precise JSON path where the error occurred. Malformed input or an invalid schema is rejected before any charge is applied.

Example use cases

CI pipeline config validation

“I have a GitHub Actions workflow YAML file and a JSON Schema that defines what a valid workflow looks like — can you parse the YAML and validate it against the schema, listing any path-tagged errors?”

API request body linting

“Before I send this JSON5 request body to my API, can you validate it against the API's JSON Schema and tell me if anything is wrong, including exactly which fields fail?”

Environment file schema check

“I've got a .env file for my app and a JSON Schema describing the required environment variables and their types — please validate the env file against the schema and report any issues with field paths.”

Technical details

Endpoint

POSThttps://format.openverbs.com/v1/validate?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to validate a document in a non-JSON format (YAML, TOML, CSV, XML, INI, etc.) against a JSON Schema, or when you need precise path-tagged error locations rather than a simple pass/fail. It is especially useful when the input format is uncertain or when you need programmatic error reporting for CI pipelines, API gateways, or config management systems.

Side effects

Malformed document (unparseable in the stated format) — rejected before payment with a parse error
Invalid JSON Schema supplied — rejected before payment
Document exceeds 1,000,000 character limit — request rejected
Unsupported format value — schema enum violation
Missing required fields (data or schema) — validation error before processing

Input

Schema · Request body

Field	Type	Description
data	string	The document to validate, as a string in the `from` format.
from	string	Source format of `data`. Default json.
schema	object	A JSON Schema to validate the parsed document against.

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