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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 domain-osint-72343955726.us-central1.run.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Fetches a web page or search result and distills it into compressed, agent-ready markdown, removing noise and reporting token savings.
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
A JSON object containing: the distilled page content in markdown format, the page title, status indicator, and an ROI proof block showing raw token count, distilled token count, tokens saved, compression ratio percentage, and ROI multiplier — enabling agents to verify efficiency gains.
Example use cases
Distill documentation page for agent
“Grab the content from https://stripe.com/docs/payments and distill it into clean agent-readable markdown — I want the key info without wasting tokens on navigation and boilerplate.”
Compress search results for LLM pipeline
“Take this Google search results page at https://www.google.com/search?q=best+crypto+wallets+2024 and distill it into markdown so my pipeline can process it efficiently without burning through my token budget.”
Extract article text from news page
“Fetch https://techcrunch.com/2024/05/10/openai-latest-news and give me the clean distilled markdown version — I want to see how much token compression you get compared to the raw page.”
Technical details
Endpoint
GEThttps://domain-osint-72343955726.us-central1.run.app/v1/serp-extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to consume web page content with minimal token overhead — especially for documentation pages, search results, or articles where raw HTML would be prohibitively large. Prefer it over generic scrapers when token efficiency and LLM-readiness (clean markdown output) are priorities, and when cost-per-call via x402 micro-payment ($0.01 USDC) is acceptable.
Side effects
- Invalid or unreachable URL returns an error status
- Paywalled or bot-protected pages may return incomplete or blocked content
- Very short pages may show minimal compression ratio
- Payment failure (HTTP 402) if USDC balance is insufficient
- Rate limiting if too many requests are made in a short window
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object | |
| output | object |
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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