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AgentsToolsHub JSON Repair
x402
AgentsToolsHub JSON Repair is a paid API for AI agents from agentstoolshub.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-17).
Repairs broken or malformed JSON by fixing trailing commas, single quotes, unquoted keys, Python literals, NaN, comments, smart quotes, and truncated documents
Price / call$0.002
Success—
StatusUnknown
How this service works
Repairs broken JSON: trailing commas, single quotes, unquoted keys, Python literals (True/False/None), NaN, comments, smart quotes and truncated documents. Built for the most common agentic failure mode — parsing slightly-wrong JSON from an LLM or a human. Use this when an agent needs to fix LLM-mangled, truncated or sloppy JSON.
Output
A valid, parseable JSON object with all syntax errors corrected — trailing commas removed, single quotes replaced with double quotes, unquoted keys quoted, Python literals (True/False/None) converted to JSON equivalents, NaN handled, comments stripped, smart quotes normalized, and truncated documents completed or closed as best as possible.
Example use cases
Fix LLM-generated malformed JSON
“The model returned this JSON but it has single quotes and a trailing comma and my parser is choking on it — can you repair it so it's valid? {'user': 'bob', 'score': 42, 'verified': True,}”
Recover truncated API response JSON
“I got a JSON response that got cut off mid-document and now it won't parse. Can you fix this truncated JSON and return a valid version? {"items": [{"id": 1, "name": "widget"}, {"id": 2”
Normalize Python dict to valid JSON
“I have a Python dictionary literal with True, False, None and NaN values that I need converted to valid JSON so I can pass it to another service. Here it is: {'enabled': True, 'count': None, 'ratio': NaN}”
Technical details
Endpoint
GEThttps://agentstoolshub.com/api/v1/dev/json-repair?utm_source=zero.xyzWhen to prefer
Use this endpoint whenever an LLM, human, or upstream service produces JSON that fails standard parsing due to common syntax mistakes. It specifically handles the most frequent agentic failure modes — LLM outputs with Python-style literals, trailing commas, single quotes, and truncated responses — making it the right choice before retrying a JSON.parse() call or before passing LLM output to a downstream system.
Side effects
- Input is so severely malformed it cannot be meaningfully repaired — returns an error or empty result
- Input is not JSON-like at all (e.g. plain text or binary) — repair may fail or return unexpected output
- Truncated JSON with ambiguous structure may be completed in an unintended way
- Missing required 'text' query parameter returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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