AgentFund Structured JSON Repair

x402

AgentFund Structured JSON Repair is a paid API for AI agents from x402.agentfund.net, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).

Repairs malformed or invalid JSON text, optionally validating and coercing types against a provided JSON Schema

Price / call$0.01

Seller volume →—

Success—

StatusUnknown

How this service works

Structured JSON Repair

Output

A structured JSON response containing the repaired, valid JSON object. If a schema was provided, the output is also validated and type-coerced to conform to that schema. Returns clean, parseable JSON ready for downstream processing.

Example use cases

Fixing LLM-generated malformed JSON

“The JSON my language model returned has syntax errors — missing quotes around keys and a trailing comma. Can you repair it so it's valid JSON I can actually parse?”

Schema-coerced JSON for data pipeline

“I have this JSON blob where all the numeric fields came back as strings. Can you fix the JSON and coerce the types to match my schema so price is a number and active is a boolean?”

Cleaning scraped near-JSON data

“I scraped some data that's almost JSON but not quite — it has JavaScript-style unquoted keys and single quotes. Can you repair it into proper valid JSON?”

Technical details

Endpoint

POSThttps://x402.agentfund.net/x402/structured_json_repair

When to prefer

Choose this endpoint when you have broken, malformed, or syntactically invalid JSON that needs to be repaired before use — especially useful for cleaning LLM outputs, scraped data, or hand-written JSON with common mistakes like unquoted keys, trailing commas, or wrong-typed values. Particularly valuable when you also need schema-based type coercion in a single call. Prefer this over custom parsing logic when you need a reliable, paid-guarantee repair service in an agent pipeline.

Side effects

Input is so malformed it cannot be meaningfully repaired (returns error)
Schema mismatch where coercion is impossible (e.g. a non-numeric string to number)
Empty or null input string
Schema itself is invalid JSON Schema
Payment failure via x402 protocol before processing begins

Input

Schema · Request body

Field	Type	Description
input	string	Raw/malformed JSON text to repair.
coerce	boolean	Coerce types to fit the schema (default true).
schema	object	Optional JSON Schema to validate/coerce against.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "ok": true,
    "data": {
      "age": 36,
      "name": "Ada"
    },
    "errors": [],
    "changed": true,
    "repairs": []
  }
}

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Example use cases

Fixing LLM-generated malformed JSON

“The JSON my language model returned has syntax errors — missing quotes around keys and a trailing comma. Can you repair it so it's valid JSON I can actually parse?”

Schema-coerced JSON for data pipeline

“I have this JSON blob where all the numeric fields came back as strings. Can you fix the JSON and coerce the types to match my schema so price is a number and active is a boolean?”

Cleaning scraped near-JSON data

“I scraped some data that's almost JSON but not quite — it has JavaScript-style unquoted keys and single quotes. Can you repair it into proper valid JSON?”

Technical details

Endpoint

POSThttps://x402.agentfund.net/x402/structured_json_repair

When to prefer

Side effects

Input is so malformed it cannot be meaningfully repaired (returns error)
Schema mismatch where coercion is impossible (e.g. a non-numeric string to number)
Empty or null input string
Schema itself is invalid JSON Schema
Payment failure via x402 protocol before processing begins

Input

Schema · Request body

Field	Type	Description
input	string	Raw/malformed JSON text to repair.
coerce	boolean	Coerce types to fit the schema (default true).
schema	object	Optional JSON Schema to validate/coerce against.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "ok": true,
    "data": {
      "age": 36,
      "name": "Ada"
    },
    "errors": [],
    "changed": true,
    "repairs": []
  }
}