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Vextorium JSON Repair & Validation
x402
Vextorium JSON Repair & Validation is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-11).
Repairs malformed JSON (LLM output artifacts, fences, comments, trailing commas, unquoted keys, Python literals, unclosed brackets) and optionally validates the result against a JSON Schema
Price / call$0.002
Success—
StatusUnknown
How this service works
Repair broken JSON, typical of LLM output: strips ```json fences, comments and surrounding text, trailing commas, single quotes, unquoted keys, Python True/None and unclosed brackets. Returns the object and clean JSON and, if you pass a JSON Schema, whether it validates and why not.
Output
Returns an object with four fields: 'object' (the parsed JavaScript object), 'json' (the cleaned, valid JSON string), 'repaired' (boolean, true if any fixes were applied), and 'was_already_valid' (boolean). If a JSON Schema was provided, also returns whether the repaired object validates against it and the reason if it does not.
Example use cases
Fixing LLM pipeline JSON output
“My pipeline keeps getting broken JSON from GPT-4 — it wraps everything in ```json fences and uses trailing commas. Can you repair this text and give me a clean parseable JSON object back?”
Schema validation for agent responses
“I need you to take this raw text my AI assistant returned, strip out any junk, parse it as JSON, and then check whether it matches my schema — which requires a 'name' string, an 'age' number, and a 'tags' array.”
Cleaning Python-style JSON with None and True
“This JSON string has Python-style None and True values instead of null and true — can you repair it into valid JSON and tell me whether it was already valid or needed fixing?”
Technical details
Endpoint
POSThttps://api.vextorium.com/v1/json-repair?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to robustly parse JSON emitted by LLMs, which frequently includes markdown code fences, Python boolean/null literals, single-quoted strings, unquoted keys, trailing commas, or truncated structures. It is ideal for agentic pipelines where downstream steps require a clean parsed object. Prefer it over custom regex or ad-hoc parsing when you also need schema validation in the same call.
Side effects
- Input text is so malformed it cannot be salvaged into any valid JSON structure — endpoint may return an error or null object
- Schema provided is itself invalid JSON Schema — validation result may be unreliable
- Input contains deeply nested truncated JSON — unclosed bracket repair may produce semantically incorrect output
- Empty or whitespace-only input — likely returns null object with repaired=false
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"json": "{\"name\": \"Ana\", \"edad\": 30, \"activo\": true, \"tags\": [\"a\", \"b\"]}",
"object": {
"age": 30,
"name": "Ana",
"tags": [
"a",
"b"
],
"asset": true
},
"repaired": true,
"was_already_valid": false
}
}Tags
x402
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