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Animica JSON Repair API
x402
Animica JSON Repair API is a paid API for AI agents from animica.dev, paid per call via x402, $0.001794/call, status unknown (last checked 2026-09-15).
Repairs malformed, fenced, or prose-wrapped JSON strings and validates them against a provided JSON Schema
Price / call$0.001794
Success—
StatusUnknown
How this service works
Hand over malformed model output and a JSON Schema; get back JSON that provably satisfies it. Tries a pure-parse fast path FIRST and returns immediately when the input is already valid — you are not charged a model call for text that merely looked broken. Otherwise a small model repairs it and the result is validated in code before it is returned. Priced per call. For high-volume use, buy prepaid credits (POST /x402/credits/buy) and send X-Animica-Credits on each request — no settlement, no gas, no per-call payment round trip. Paying in ANM on the animica:1 lane is also ~25% cheaper because we sponsor no gas there.
Output
Returns a JSON object containing: `data` (the repaired and schema-validated JSON value), `method` (either 'parsed' if fixed syntactically or 'model_repaired' if an AI model was used), `model` (the model used if any), and `attempts` (number of repair attempts made).
Example use cases
Fixing LLM-generated JSON output
“The AI just returned this JSON wrapped in a markdown code block with a syntax error — can you repair it and validate it against this schema: {"type":"object","required":["title","score"],"properties":{"title":{"type":"string"},"score":{"type":"number"}}}? Here's the raw output: ```json\n{"title": "Review", score: 8.5\n```”
Cleaning prose-wrapped API response
“I got back a response that has JSON buried inside a paragraph of text — something like 'The result is {"status": "ok", "count": 42} as expected.' Can you extract and repair the JSON and confirm it satisfies the schema {"type":"object","required":["status","count"]}?”
Schema-conformant data repair pipeline
“I'm ingesting user-submitted JSON that sometimes arrives malformed with missing fields or extra commas — can you repair this string '{"user_id": 101,, "email": "bob@example.com"}' and make sure it conforms to the schema {"type":"object","required":["user_id","email"],"properties":{"user_id":{"type":"integer"},"email":{"type":"string"}}}?”
Technical details
Endpoint
POSThttps://animica.dev/x402/json/repairWhen to prefer
Use this endpoint when you need to programmatically fix malformed JSON — especially output from LLMs that wraps JSON in markdown fences, prose, or contains syntax errors — and you need the result validated against a specific JSON Schema. It is particularly valuable in agentic pipelines where LLM outputs must be reliably parsed. Prefer this over manual regex-based parsing or custom repair logic when schema conformance is required and robustness matters.
Side effects
- Input JSON is so malformed that even model-based repair cannot produce schema-conformant output
- Provided JSON Schema is invalid or unsatisfiable, causing all repair attempts to fail
- Input string contains no JSON-like content at all
- Schema constraints are too strict and the repaired JSON cannot satisfy them within allowed attempts
- Network timeout or service error during model-based repair step
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | string | the malformed / fenced / prose-wrapped JSON |
| schema | object | JSON Schema the repaired value must satisfy |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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