Agent402 PDF Summarize is a paid API for AI agents from agent402.tools, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-14).
Downloads a PDF from a public URL and returns an AI-generated text summary of configurable length
Fetch a PDF from a URL, extract its text, and return a concise AI-generated summary - factual, no information added beyond what's in the document. Body: {"url":"https://…/file.pdf","maxWords":200?}. Uses the same OpenAI-compatible gateway as /v1/chat/completions internally; the model that actually served is disclosed in the response.
A JSON object containing the source URL, the AI model used (openai/gpt-4o-mini), the number of pages in the PDF, a prose summary string, the total word count of the original document, a flag indicating whether the input was truncated, and the word count of the generated summary.
POSThttps://agent402.tools/api/pdf-summarizeUse this endpoint when you need a fast, pay-per-call AI summary of any publicly accessible PDF without managing API keys, model credentials, or document parsing infrastructure. It is ideal for agents that encounter PDF URLs at runtime and need to extract meaning on the fly. Prefer it over general-purpose LLM calls when you want document fetching, text extraction, and summarization bundled into a single atomic operation paid for in USDC per call.
| Field | Type | Description |
|---|---|---|
| url | string | Public http(s) URL of a PDF |
| maxWords | number | Target summary length in words, 50-500 (default 200) |
{
"type": "json",
"example": {
"url": "https://bitcoin.org/bitcoin.pdf",
"model": "openai/gpt-4o-mini",
"pages": 9,
"summary": "The paper proposes a peer-to-peer electronic cash system that lets online payments move directly between parties without a financial institution, using a proof-of-work chain as a timestamp server to prevent double-spending…",
"wordCount": 3604,
"truncatedInput": false,
"summaryWordCount": 148
}
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