Grokzilla JSON Repair

x402

Grokzilla JSON Repair is a paid API for AI agents from grokzilla.shop, paid per call via x402, $0.0041/call, status unknown (last checked 2026-10-18).

Repairs malformed or truncated JSON (from LLMs, JS, or Python) by fixing fences, comments, trailing commas, single quotes, unquoted keys, and unclosed structures, returning the parsed object, a compact repaired string, and a list of applied fixes.

Price / call$0.0041

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StatusUnknown

How this service works

Repair malformed or truncated JSON from LLMs, JS or Python: strips ```json fences and comments, fixes trailing commas, single quotes, unquoted keys, True/False/None, missing commas and unclosed strings/brackets. Returns the parsed JSON, a compact repaired JSON string and the list of fixes. Deterministic, no network.

Output

Returns three things: the fully parsed JSON object (ready to use programmatically), a compact repaired JSON string, and an ordered list of fixes that were applied (e.g. 'removed ```json fence', 'replaced trailing comma', 'converted True→true'). No network calls are made; processing is fully deterministic and local.

Example use cases

Fix LLM JSON with code fences

“The GPT-4 response I got is wrapped in ```json fences and has trailing commas — can you repair that JSON so I can actually parse it? Here's the raw text: ```json {"name": "Alice", "active": True, } ```”

Repair Python-style JSON payload

“I have a JSON-like string from my Python script that uses True, False, and None instead of the proper JSON values, plus some single-quoted keys. Can you fix it and return the valid JSON along with what was changed?”

Recover truncated API response JSON

“My API returned a partial JSON that got cut off mid-string and has an unclosed bracket. Can you repair it and tell me exactly what fixes were applied so I know what data might be missing?”

Technical details

Endpoint

POSThttps://grokzilla.shop/api/skills/json-repair?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need deterministic, offline-safe JSON repair with an explicit audit trail of changes applied — especially for cleaning LLM outputs that use Python-style literals, markdown fences, or non-standard syntax. Prefer it over a general LLM re-prompting approach when you want reproducible results without network round-trips or hallucination risk, and when you need the specific list of fixes for logging or debugging.

Side effects

Input is so severely malformed that no valid structure can be inferred — returns an error or empty result
Input exceeds 400,000 character limit — rejected with a validation error
Input is valid JSON already — returned as-is with an empty fixes list (not a failure, but callers should be aware)
Ambiguous repair choices (e.g. multiple interpretations of broken nesting) may produce unexpected but valid JSON

Input

Schema · Request body

Field	Type	Description
text	string

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