AgentDiet LLM Content Distillation & B2A Intelligence Hub is a paid API for AI agents from serp-extract-72343955726.us-central1.run.app, paid per call via x402, $0.015/call, status unknown (last checked 2026-10-22).
Fetches, distills, and compresses web or document content into clean agent-ready markdown with token savings metrics, while also supporting on-chain risk, DEX intelligence, lead enrichment, domain OSINT, email verification, SEC filings, GitHub audits, and prompt firewall capabilities
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).
Returns a JSON object with a 'data' field containing the distilled content as clean markdown (mode, title, content), status 'ok', and an 'roi_proof' object showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, and roi_multiplier — quantifying exactly how much token reduction was achieved.
GEThttps://serp-extract-72343955726.us-central1.run.app/v1/llms-generator?utm_source=zero.xyzChoose this endpoint when an AI agent needs to ingest web content efficiently and token budget is a concern — especially for long documentation pages, filings, or research sites. It is uniquely suited for B2A workflows where the agent needs quantified ROI on compression and clean markdown output rather than raw HTML or chunked text. Prefer over generic scrapers when you need both content distillation and intelligence enrichment (on-chain, OSINT, lead data) in one hub.
| Field | Type | Description |
|---|---|---|
| input | object | |
| output | object |
{
"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
}
}
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