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AgentDiet Multi-Engine SERP Grounding
x402
AgentDiet Multi-Engine SERP Grounding is a paid API for AI agents from status.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Runs a web search query through multiple search engines and returns grounded, distilled results optimized for minimal token usage in AI agent context windows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://status.agentdiet.dev settling in USDC on Base.
Output
Returns a JSON object with a 'data' field containing distilled search results, a 'status' field confirming success, and an 'roi_proof' object showing the compression_ratio_pct achieved (e.g. 91.4% compression), demonstrating how much the token footprint was reduced compared to raw SERP output.
Example use cases
Real-time fact grounding for agent
“Search the web for 'current Bitcoin price USD' and return compressed, grounded results I can inject into my agent's context without using a ton of tokens.”
Research assistant with token budget
“Look up 'best practices for agentic RAG pipelines 2025' across multiple search engines and give me a distilled summary — I need it to be super compact so it fits in my remaining context window.”
News retrieval for automated workflow
“Run a web search for 'OpenAI announcements this week' and return the key grounded results in a token-efficient format so my automated pipeline can stay under the context limit.”
Technical details
Endpoint
GEThttps://status.agentdiet.dev/v1/multi-engine-serp-grounding?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need live web search grounding for an AI agent but are constrained by context window token limits. It is particularly valuable in agentic pipelines where raw SERP output would be prohibitively large, or when you need multi-engine coverage with a single $0.01 USDC call. Prefer this over direct search APIs when token compression (claimed ~85-91%) is a priority and you are already operating within a x402/L402 micropayment infrastructure on Base.
Side effects
- Missing or empty query parameter returns malformed or empty data
- Invalid HTTP method (not GET or POST) returns schema validation error
- Payment failure or insufficient USDC balance results in 402 Payment Required
- Query too vague or unsupported language may return empty search results
- Rate limiting or upstream SERP provider outage may return 503 or degraded results
- Invalid input type (not 'http') triggers schema const validation error
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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