NewBotLabor JSON Repair

x402

NewBotLabor JSON Repair is a paid API for AI agents from newbotlabor--254ecdfcc2de11f19b541607ee4eb77e.web.val.run, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-22).

Repairs malformed JSON text by fixing common syntax errors and optionally validates/coerces the result against a JSON Schema

Price / call$0.003

Seller volume →—

Success—

StatusUnknown

How this service works

Pay-per-call utilities for autonomous agents, paid with x402 (USDC on Base; no account, no API key).

Output

Returns an object containing: a boolean 'ok' flag, the repaired JSON as a string, the parsed JavaScript value, a list of human-readable fix descriptions (e.g. 'stripped markdown code fence', 'quoted unquoted keys'), a 'repaired' boolean, and if a schema was provided, a schema validation sub-object with validity status, errors, coercions applied, and whether it was valid before coercion.

Example use cases

Sanitize LLM-generated JSON output

“The model just returned this JSON but it's wrapped in a code fence and has single quotes everywhere — can you repair it and give me a clean parsed object? Here's the text: ```{'user': 'alice', 'score': '99', 'active': True}```”

Validate API payload before submission

“I have this JSON string I'm about to send to an API but I'm not sure it matches the required schema — can you fix any syntax issues and check it against this schema: {"type":"object","required":["id","amount"],"properties":{"id":{"type":"string"},"amount":{"type":"number"}}}? Here's my payload: {id: '123', amount: '45.00',}”

Parse log file JSON fragments

“I've got a bunch of JSON snippets from log files that have unquoted keys and extra commas — can you repair this one and tell me what fixes were applied: {timestamp: '2024-01-15', level: error, message: 'disk full',}”

Technical details

Endpoint

POSThttps://newbotlabor--254ecdfcc2de11f19b541607ee4eb77e.web.val.run/api/json/repair?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to programmatically fix LLM-generated or user-supplied JSON that has common syntax errors (markdown fences, single quotes, unquoted keys, trailing commas, type mismatches) without setting up an account or API key. It is particularly well-suited for agent workflows that receive JSON from language models and need to normalize it before downstream use. It combines repair + schema validation in one call, which is more efficient than separate parse-and-validate steps. Pay only per call via x402/USDC on Base — ideal for sporadic or bursty agent workloads.

Side effects

Text is so severely malformed that repair heuristics cannot produce valid JSON — returns ok:false with error details
Input text exceeds 200k character limit — rejected with size error
Schema provided is itself invalid — schema validation step may error or be skipped
Payment via x402 fails or USDC balance insufficient — HTTP 402 returned before processing

Input

Schema · Request body

Field	Type	Description
text	string	possibly broken JSON text, max 200k chars
schema	object	optional JSON Schema to validate/coerce against

Output

Schema · Response

{
  "type": "json",
  "example": {
    "ok": true,
    "json": "{\"name\":\"Bob\",\"age\":42,\"tags\":[\"a\"]}",
    "fixes": [
      "stripped markdown code fence",
      "quoted unquoted keys",
      "converted single-quoted strings",
      "removed extra/trailing commas"
    ],
    "value": {
      "age": 42,
      "name": "Bob",
      "tags": [
        "a"
      ]
    },
    "schema": {
      "valid": true,
      "errors": [],
      "coercions": [
        "$.age: string -> number"
      ],
      "validBeforeCoercion": false
    },
    "repaired": true
  }
}

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