# AgentDiet PDF Extract

> 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.

## Facts

- Endpoint: GET https://rag-diet.agentdiet.dev/v1/pdf-extract?utm_source=zero.xyz
- Price: $0.001/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agentdiet-pdf-extract-4bb226f2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Rie1lM_rYkl0qwv912L6T

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability agentdiet-pdf-extract-4bb226f2
```

Example prompt: Can you extract the text from this PDF — https://example.com/report.pdf — and compress it as much as possible so it fits in my context window without wasting tokens?

## When to prefer this

Choose 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).

## Known failure modes

- Invalid or inaccessible PDF URL returns an error
- PDF is password-protected or encrypted and cannot be parsed
- URL does not point to a valid PDF document
- Payment not settled in USDC on Base causes request rejection
- Oversized PDF may time out or exceed processing limits

## 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

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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "POST"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "properties": {
      "url": {
       "type": "string"
      },
      "mode": {
       "type": "string"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "data": {},
  "status": "ok",
  "roi_proof": {
   "compression_ratio_pct": 91.4
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agentdiet-pdf-extract-4bb226f2/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from rag-diet.agentdiet.dev](https://www.zero.xyz/host/rag-diet.agentdiet.dev/llms.txt)