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AgentDiet Web Distillation Endpoint
x402
AgentDiet Web Distillation Endpoint is a paid API for AI agents from token-intel-72343955726.us-central1.run.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-14).
Fetches a web page or document URL and distills it into compressed, agent-ready markdown, stripping noise and returning only semantically rich content with token-efficiency metrics.
Price / call$0.001
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 a 'data' field containing the distilled content (title and markdown body), a status field, and an 'roi_proof' object showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, and roi_multiplier — giving the agent both the compressed content and proof of token efficiency.
Example use cases
Compressing API docs for agent context
“Distill https://stripe.com/docs/api into compact markdown so I can feed it to my agent without blowing up the context window — show me the compression ratio too.”
Research page summarization pipeline
“Fetch and distill https://en.wikipedia.org/wiki/Large_language_model into agent-ready markdown format so I can use just the key content in my research workflow.”
Competitive intelligence brief
“Pull and distill the content at https://openai.com/pricing into clean markdown — I want to see only the meaningful text, not all the nav and footer noise, and I'd like to know how many tokens were saved.”
Technical details
Endpoint
GEThttps://token-intel-72343955726.us-central1.run.app/v1/distill?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your agent needs to read web pages or documentation without consuming excessive context-window tokens. It is especially valuable in token-constrained pipelines, agentic research loops, or any workflow where raw HTML verbosity would be wasteful. Prefer this over raw HTTP fetch when you need structured, clean markdown output with built-in compression telemetry.
Side effects
- URL is unreachable or returns non-200 status — endpoint may return an error or empty content
- Paywalled or bot-protected pages may return incomplete or no content
- Very large pages may hit processing limits resulting in truncated output
- Invalid or malformed URL input causes a request failure
- HTTP 402 payment required if USDC micropayment via x402 is not attached or insufficient
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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