turboshop.ai JSON Repair Guard

x402

turboshop.ai JSON Repair Guard is a paid API for AI agents from turboshop.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Strips markdown code fences, fixes trailing commas, repairs unquoted JSON keys, and validates repaired JSON against an optional schema for AI pipelines.

Price / call$0.01

Seller volume →—

Success—

StatusUnknown

How this service works

Fast AST microservice that strips markdown code fences, fixes trailing commas, repairs unquoted JSON keys, and enforces strict schema validation for AI pipelines.

Output

Returns the repaired, valid JSON string with markdown fences removed, trailing commas fixed, and unquoted keys corrected. If a target schema is provided, also returns schema validation results indicating whether the repaired JSON conforms.

Example use cases

LLM output cleanup in agent pipeline

“My AI just returned a response that has backtick code fences, trailing commas, and some unquoted keys — please repair the JSON so it's valid and parseable.”

Schema-validated JSON repair for structured output

“I need you to take this raw GPT output and repair the JSON, then check it against my schema to make sure the fields 'id', 'name', and 'amount' are all present and correctly typed.”

Automated JSON sanitization before database write

“Before I write this LLM-generated JSON to the database, can you strip any markdown fences, fix any trailing commas or bad quoting, and make sure it's valid JSON?”

Technical details

Endpoint

GEThttps://turboshop.ai/api/v1/products/prod-json-schema-repair-guard/buy?utm_source=zero.xyz

When to prefer

Choose this endpoint when your AI pipeline receives LLM-generated JSON that may contain markdown code fences, trailing commas, or unquoted keys and you need fast, automated repair before further processing. Particularly useful when you also need schema validation in the same step. Prefer over generic JSON linters when dealing specifically with LLM output artifacts.

Side effects

Input JSON too malformed to repair automatically — returns error with description of unparseable sections
Target schema itself is invalid — returns schema validation error
Empty or missing raw_text field — returns 400 bad request
JSON repair produces output that still fails schema validation — returns repaired JSON alongside validation failure details

Input

Schema · Request body

Field	Type	Description
raw_text	string	LLM output containing malformed JSON, markdown fences, or trailing commas
client_id	string	Optional calling agent ID
target_schema	object	Optional JSON Schema to validate and repair against

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