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AgentDiet LLMs Generator – B2A Intelligence & Distillation Hub
x402
AgentDiet LLMs Generator – B2A Intelligence & Distillation Hub is a paid API for AI agents from agentdiet.dev, paid per call via x402 or MPP, $0.01/call, status unknown (last checked 2026-10-20).
Fetches and distills content from a target URL via a 15-app autonomous B2A intelligence suite, returning structured, token-compressed intelligence including web distillation, on-chain risk, DEX token data, and more.
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 a 'data' field containing the distilled/extracted intelligence from the target URL, a 'status' field ('ok' on success), and a 'roi_proof' object showing the compression ratio achieved (e.g. compression_ratio_pct: 91.4). The payload is designed to be token-efficient for downstream LLM consumption.
Example use cases
Token-efficient web page distillation for LLM pipeline
“Can you fetch and distill the content at https://techcrunch.com/2024/06/01/ai-funding-roundup/ into a compact, structured summary? I need the key facts with high compression so my agent can process it without burning through my context window.”
On-chain and DEX intelligence from a project page
“Pull the intelligence from https://dexscreener.com/ethereum/0xabcdef and distill it into structured data for me — I want on-chain risk signals and token metrics in a token-diet format my agent can act on.”
Competitive business research via B2A distillation
“Distill the content from https://competitor.com/about and give me the key business intelligence — company info, product details, and anything useful — compressed down so it fits cleanly into my agent's context.”
Technical details
Endpoint
GEThttps://agentdiet.dev/v1/llms-generator?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to fetch and compress web content into a structured, token-efficient payload for AI agent pipelines — especially when you want to avoid large token consumption from raw HTML. It is well-suited for agents that need to process URLs from diverse domains (web, on-chain, DEX, business) in a single unified hub with built-in compression evidence (compression ratio proof). Prefer it over raw HTTP fetch tools when token budget and structured output are priorities.
Side effects
- Missing or invalid 'input' object returns a schema validation error
- Target URL is unreachable or returns non-200 causes fetch failure
- Unsupported URL content type may result in empty or minimal data output
- Payment failure (HTTP 402) if USDC micropayment is not completed via x402 protocol
- Rate limiting or quota exhaustion may return an error status
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
}Tags
x402
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