AgentDiet Paper Summary — A2A Context Distiller is a paid API for AI agents from rag-diet.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Fetches and compresses an academic paper or document into a condensed, token-efficient summary with up to 91%+ compression ratio
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 compressed paper summary content, a 'status' field ('ok' on success), and an 'roi_proof' object reporting the compression_ratio_pct (e.g. 91.4%) achieved — giving the agent measurable proof of token savings.
GEThttps://rag-diet.agentdiet.dev/v1/paper-summary?utm_source=zero.xyzPrefer this endpoint when an AI agent needs to ingest academic papers or long documents but must stay within a tight context window budget. It is especially valuable in multi-document pipelines where token costs accumulate quickly, and when a verifiable compression ratio (ROI proof) is needed to justify the summarization step. Choose this over generic summarization APIs when you need deterministic, measurable compression with x402/USDC micropayment settlement 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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