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AgentDiet RAG Repair Endpoint
x402
AgentDiet RAG Repair Endpoint is a paid API for AI agents from rag-diet.agentdiet.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-22).
Repairs and validates raw JSON context windows to remove bloat and structural errors, returning compressed, agent-ready output with a compression ratio proof.
Price / call$0.002
Success—
StatusUnknown
How this service works
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.
Output
Returns a JSON object with a 'data' field containing the repaired and compressed content, a 'status' field confirming success, and a 'roi_proof' object that includes the compression_ratio_pct (e.g. 91.4%) demonstrating how much the payload was reduced.
Example use cases
Compressing bloated RAG retrieval output
“I just got a huge JSON response from my retrieval system and it's eating up my entire context window. Can you repair and compress it so I can actually use it in my next LLM call?”
Fixing malformed tool call JSON
“My agent's tool call returned some broken JSON that I can't parse. Run it through the repair endpoint to fix the structure and slim it down before I pass it to the next step.”
Reducing token cost in A2A pipelines
“We're chaining multiple agents together and the context payload keeps growing. Can you distill and repair this JSON so it's compact and valid before passing it downstream?”
Technical details
Endpoint
GEThttps://rag-diet.agentdiet.dev/v1/repair?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to both repair malformed JSON and compress it for token efficiency in a single deterministic call, especially within A2A or MCP pipelines where context window size is a bottleneck. Prefer it over generic JSON validators when you also need token reduction with a measurable compression ratio proof. Best suited for agents that pay per call via x402/USDC and need a lightweight, fast repair pass before passing context to an LLM.
Side effects
- Missing or malformed 'input' field returns a 400-level error
- Invalid 'type' value (must be 'http') causes schema validation failure
- Unparseable raw_json query parameter may result in empty or error data response
- Payment not settled in USDC on Base causes x402 payment-required rejection
- Overly large payloads may exceed processing limits and return a timeout or size error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
}Tags
x402
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