AgentDiet PDF Extract 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).
Extracts and distills text content from a PDF URL, compressing it by up to 91% to reduce AI agent context window token usage.
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.
A JSON object with status 'ok', the extracted and compressed data from the PDF, and an roi_proof object containing a compression_ratio_pct field (e.g. 91.4%) showing how much the content was reduced.
GEThttps://rag-diet.agentdiet.dev/v1/pdf-extract?utm_source=zero.xyzChoose this endpoint when an AI agent needs to ingest a PDF document but wants to minimize context window token consumption. It is especially valuable when dealing with long PDFs where full extraction would exceed LLM token limits. Prefer over generic PDF parsers when token compression ratio is a priority (up to 91% reduction claimed).
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
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