agentsvc.io Document Parser

x402

agentsvc.io Document Parser is a paid API for AI agents from agentsvc.io, paid per call via x402, $0.009/call, status unknown (last checked 2026-10-10).

Parses a document or web page (by URL, raw content, or base64 file) into structured markdown, metadata, and outline

Price / call$0.009

Seller volume →—

Success—

StatusUnknown

How this service works

86 APIs for AI agents: web scraping and crawling to Markdown, AI summaries, data extraction and cited answers, screenshots and PDF, PDF, OCR and document conversion, news, paper and developer search and more, paid per call with USDC on Base, Solana, Polygon or Arbitrum via x402. No account, no API key, free sample on every service.

Output

Returns a JSON object with: document title, author, publication date, detected format (e.g. html, pdf), source URL, language code, an outline array of headings with levels, full markdown-rendered text content (up to max_chars), character count, word count, image count, table count, heading count, and a truncated flag if content was cut off.

Example use cases

Extract research paper content

“Grab this academic paper at https://arxiv.org/pdf/2401.00001 and parse it into clean markdown so I can read the sections and see the outline — limit it to 100000 characters.”

Parse uploaded contract document

“I have a contract PDF encoded in base64 — can you parse it and pull out the full text as markdown along with the title and any headings so I can review the structure?”

Scrape article for summarization

“Fetch the article at https://techcrunch.com/2024/01/15/some-article and convert it to clean readable markdown text, and also tell me the author, publication date, and word count.”

Technical details

Endpoint

POSThttps://agentsvc.io/api/v1/proxy/doc-parse?utm_source=zero.xyz

When to prefer

Use this endpoint when you need to extract readable text, metadata, and structure from a document or web page in a single call without setting up an account or API key. It is ideal for agents that need to ingest PDF, HTML, or other documents on demand and receive clean markdown plus an outline. Prefer it over generic scrapers when you also need document metadata (author, date, language) and structural outline in addition to raw text.

Side effects

URL unreachable or returns non-200 status — parse fails or returns empty content
Base64 file exceeds 10 MB limit — request rejected
max_chars below 1000 or above 200000 — validation error
Unsupported file format — parser may return empty or partial markdown
Password-protected or paywalled document — content not accessible
Malformed base64 string — decoding error

Input

Schema · Request body

Field	Type	Description
url	string
from	string
content	string
max_chars	integer
file_base64	string	Document as base64 (max 10 MB)

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "date": null,
      "title": "Docs: how agents pay per call with x402 · agentsvc.io",
      "author": null,
      "format": "html",
      "source": "https://agentsvc.io/docs",
      "outline": [
        {
          "text": "Pay per call. Nothing else to set up.",
          "level": 1
        },
        {
          "text": "Free trial, no wallet",
          "level": 2
        },
        {
          "text": "GET works too and uses the example input:",
          "level": 1
        }
      ],
      "language": "en",
      "markdown": "<div hidden=\"\">\n\n</div>\n\n<div style=\"border-bottom:1px solid var(--border);background-color:rgba(10, 14, 26, 0.92);backdrop-filter:blur(12px);position:sticky;top:0;z-index:50\">\n\n<div class=\"container\" style=\"display:flex;align-items:center;justify-content:space-between;min-height:60px;gap:1rem\">\n…",
      "truncated": true,
      "characters": 2000,
      "word_count": 8068,
      "image_count": 0,
      "table_count": 0,
      "heading_count": 8
    },
    "success": true
  }
}

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