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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 llms-generator-72343955726.us-central1.run.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Fetches a web page or search result and distills it into clean, token-efficient agent-ready markdown, reporting compression ratio and 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
Returns a JSON object with distilled page content as clean markdown (including the page title), plus ROI proof stats: raw token count, distilled token count, tokens saved, compression ratio percentage, and an ROI multiplier indicating how much token reduction was achieved.
Example use cases
Documentation ingestion for agent pipelines
“Pull the content from https://platform.openai.com/docs/guides/function-calling and distill it into clean agent-ready markdown — I want to see how many tokens it saves me.”
Competitor landing page analysis
“Fetch https://www.stripe.com/pricing and distill it into compact markdown so my agent can quickly understand their pricing tiers without burning through my context window.”
Search result page content extraction
“Extract and distill the main content from this Google SERP page — https://www.google.com/search?q=best+LLM+APIs+2025 — into clean readable markdown, and show me the compression ratio.”
Technical details
Endpoint
GEThttps://llms-generator-72343955726.us-central1.run.app/v1/serp-extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your agent needs to ingest web page or SERP content but you want to minimize token consumption in downstream LLM calls. It is especially valuable when feeding documentation, search results, or long-form articles into a context window with tight limits. Prefer it over raw HTML scrapers when you need clean, structured markdown output with quantified token savings rather than raw DOM content.
Side effects
- URL is unreachable or returns a non-200 response — endpoint may return an error status
- Page is JavaScript-rendered and content cannot be extracted statically
- Payment via HTTP 402 / x402 Base USDC fails or is not supplied — request rejected
- Rate limiting or quota exceeded on the underlying fetch infrastructure
- Malformed or missing URL parameter causes a 400-level error
- Page content is too short or already minimal, resulting in near-zero compression gains
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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