Relaystation JSON Repair

x402

Relaystation JSON Repair is a paid API for AI agents from api.relaystation.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).

Fixes malformed JSON (truncated, mis-quoted, trailing commas, etc.) into valid, parseable output using LLM-based repair at low cost

Price / call$0.01

Seller volume →—

Success—

StatusUnknown

How this service works

Provider cost + 6%, itemized. Fix malformed JSON — truncated, mis-quoted, trailing commas — into valid parseable output. ≈Opus-4.8 accuracy at ~1–5% of its cost. 1¢ x402 min; remainder auto-credits — relaystation.ai/penny

Output

Returns a valid, parseable JSON string with all syntax errors corrected — truncations completed, mis-quoted strings fixed, trailing commas removed, and missing brackets/braces added where needed.

Example use cases

Fix truncated LLM response JSON

“My language model returned this JSON but it got cut off mid-response and won't parse — can you repair it into valid JSON? Here's the broken output: {"result": "success", "items": [{"id": 1, "name": "foo"”

Clean up JSON with trailing commas

“I have a JSON config file that someone edited manually and now it has trailing commas everywhere — JavaScript strict parsers reject it. Can you fix it into clean valid JSON? Here it is: {"host": "localhost", "port": 8080, "debug": true,}”

Repair mis-quoted JSON from scraper

“My web scraper pulled this JSON from a page but the quotes are messed up and it throws a parse error. Can you fix the quoting so it becomes valid parseable JSON? Here's what I got: {"title": 'Hello World', "active": true}”

Technical details

Endpoint

POSThttps://api.relaystation.ai/v1/llm/json_repair

When to prefer

Choose this endpoint when you need fast, cheap, LLM-quality JSON repair without building your own parsing heuristics. Ideal when downstream pipelines require strictly valid JSON but input comes from unreliable sources like scraped data, LLM completions, or hand-edited configs. At ~1-5% of the cost of frontier models with comparable accuracy, it is preferable over calling GPT-4 or Claude Opus directly for this task.

Side effects

Input is so corrupted that the intended structure cannot be inferred, resulting in a best-guess repair that may not match original intent
Non-JSON input (e.g. plain text, XML) may produce unexpected output
Very large malformed payloads may time out or be truncated
Payment failure (insufficient USDC balance) returns 402 error before processing begins

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

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