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AgentDiet Multi-Engine SERP Grounding
x402
AgentDiet Multi-Engine SERP Grounding is a paid API for AI agents from rag-diet.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Performs multi-engine web search grounding and returns compressed, distilled results with a high compression ratio to minimize token usage
Price / call$0.01
Success—
StatusUnknown
How this service works
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://rag-diet.agentdiet.dev settling in USDC on Base.
Output
A JSON object with a 'status' field ('ok'), a 'data' field containing the compressed and distilled search results, and an 'roi_proof' object showing the compression_ratio_pct (e.g. 91.4%), confirming how much token reduction was achieved.
Example use cases
Real-time fact grounding for AI agent
“My agent needs to answer a question about recent AI model releases — search the web for 'latest AI models released in 2025' and return compressed grounded results I can inject into its context.”
Market research with minimal token overhead
“Search across multiple engines for 'electric vehicle market share Q1 2025' and give me the distilled summary — I need the key facts without blowing my context window budget.”
News grounding for automated report generation
“Run a multi-engine web search for 'Federal Reserve interest rate decision June 2025' and return the compressed, grounded results so I can use them as a factual basis for a report my agent is writing.”
Technical details
Endpoint
GEThttps://rag-diet.agentdiet.dev/v1/multi-engine-serp-grounding?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need real-time web search grounding for an AI agent and token efficiency is a priority — particularly when context window space is limited and you want up to 91%+ compression of search results. It is ideal for RAG pipelines, agent grounding workflows, and any scenario where you need factual web data without the overhead of raw SERP output. Prefer this over raw search APIs when you are paying per-token and need distilled, agent-ready information rather than full HTML or verbose JSON responses.
Side effects
- Missing or empty 'query' parameter returns error or empty results
- Invalid HTTP method (not GET or POST) returns validation error
- Payment not settled in USDC on Base causes x402 payment-required response
- Query too vague or malformed may return low-quality or empty data object
- Network or upstream SERP engine failure may result in partial or empty data
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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