# AgentDiet Multi-Engine SERP Grounding

> 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

## Facts

- Endpoint: GET https://rag-diet.agentdiet.dev/v1/multi-engine-serp-grounding?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agentdiet-multi-engine-serp-grounding-50974fc6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bfZrpRfwLY-08QG7VAh56

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability agentdiet-multi-engine-serp-grounding-50974fc6
```

Example prompt: Search the web for 'best open-source LLMs in 2025' using multi-engine grounding and give me the distilled, compressed results so they fit efficiently in my context window.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "POST"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "properties": {
      "query": {
       "type": "string"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "data": {},
  "status": "ok",
  "roi_proof": {
   "compression_ratio_pct": 91.4
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agentdiet-multi-engine-serp-grounding-50974fc6/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from rag-diet.agentdiet.dev](https://www.zero.xyz/host/rag-diet.agentdiet.dev/llms.txt)