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AgentDiet SERP Extract — Web Distillation Endpoint
x402
AgentDiet SERP Extract — Web Distillation Endpoint is a paid API for AI agents from token-intel-72343955726.us-central1.run.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Fetches a URL or search result page and distills its content into compressed, agent-ready markdown, dramatically reducing token consumption while preserving key information.
Price / call$0.01
Success—
StatusUnknown
How this service works
15-App Autonomous Business-to-Agent (B2A) API Hub & MCP Suite. Supports Web Distillation, On-Chain Risk, DEX Token Intelligence, B2B Lead Enrichment, Domain OSINT, Email Verification, SEC Filings, GitHub Audits, Prompt Firewall, and native HTTP 402 (x402 Base USDC).
Output
Returns a JSON object containing distilled markdown content with the page title, a clean compressed body, and ROI proof metrics including raw token count, distilled token count, compression ratio percentage, and token savings multiplier — confirming how much context was saved relative to the raw page.
Example use cases
Documentation ingestion for agents
“Fetch the OpenAI API docs page at https://platform.openai.com/docs/overview and compress it into agent-readable markdown — I want just the key content, nothing bloated.”
Research page summarization
“Grab the content from this Wikipedia article — https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture) — and distill it into tight markdown so I can drop it into my context without using thousands of tokens.”
SERP result extraction
“Extract the main content from this Google search result page — https://www.google.com/search?q=best+crypto+DEX+2024 — and give me clean markdown I can actually read and reason over.”
Technical details
Endpoint
GEThttps://token-intel-72343955726.us-central1.run.app/v1/serp-extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to read web or documentation content but must minimize token consumption — the distillation and compression output is specifically optimized for agent pipelines. Prefer it over raw HTTP fetch or generic scrapers when you need structured markdown output with built-in ROI metrics showing token savings. It is especially useful when processing large documentation pages, SERP results, or research articles where raw HTML would be prohibitively expensive to pass to an LLM.
Side effects
- URL is unreachable or returns a non-200 status — endpoint may return an error or empty content field
- Paywalled or bot-protected pages may return only gating content rather than the real article
- Very short pages with minimal content may show low compression ratios and minimal ROI
- Payment not provided or x402 flow not completed — request returns HTTP 402 requiring USDC payment
- Rate limiting or abuse detection on the target domain may result in partial or blocked extraction
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"mode": "markdown",
"title": "Example Documentation",
"content": "# Example Documentation\nClean agent-ready markdown..."
},
"status": "ok",
"roi_proof": {
"raw_tokens": 14200,
"tokens_saved": 13520,
"roi_multiplier": 67.6,
"distilled_tokens": 680,
"compression_ratio_pct": 95.2
}
}
}Tags
x402
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