AgentDiet RAG Chunk Context Distiller is a paid API for AI agents from rag-diet.agentdiet.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-22).
Compresses and distills RAG/context window content via HTTP to reduce token usage by up to 91% before feeding it to an LLM
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.
Returns a JSON object with a 'data' field containing the distilled/compressed content, a 'status' field ('ok' on success), and an 'roi_proof' object showing the compression_ratio_pct achieved (e.g. 91.4% compression). Payment is settled in USDC on Base via x402/L402.
GEThttps://rag-diet.agentdiet.dev/v1/rag-chunk?utm_source=zero.xyzChoose this endpoint when your agent pipeline needs to reduce token consumption from fetched web pages or RAG-retrieved documents before passing content to an LLM. It is purpose-built for A2A and MCP pipelines where context window size and token cost are bottlenecks, and it provides a verifiable compression ratio (roi_proof) so you can measure savings. Prefer it over generic summarization when you need deterministic, reproducible chunk extraction with micropayment-compatible access (x402/USDC on Base).
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
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