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AgentDiet Research Digest Endpoint
x402
AgentDiet Research Digest Endpoint is a paid API for AI agents from mcp-gateway.agentdiet.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Returns a compressed, high-ROI research digest on a query topic, summarizing information from across thousands of MCP servers, x402 APIs, and A2A agents.
Price / call$0.01
Success—
StatusUnknown
How this service works
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://mcp-gateway.agentdiet.dev settling in USDC on Base.
Output
A JSON response containing a 'data' object with the research digest content, a 'status' field ('ok' on success), and a 'roi_proof' object including a compression_ratio_pct (e.g. 91.4%) indicating how much information was compressed into the digest.
Example use cases
Competitive landscape research brief
“Give me a research digest on 'on-chain AI agent protocols' — I need a compressed summary of what's happening in that space right now.”
Due diligence on emerging technology
“Can you pull a research digest on 'x402 payment protocol adoption' so I can quickly understand the current state of the ecosystem?”
Agent briefing before task execution
“Before I kick off a multi-step workflow, get me a research digest on 'MCP server discovery and routing' so my agent has the context it needs.”
Technical details
Endpoint
GEThttps://mcp-gateway.agentdiet.dev/v1/research-digest?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, compressed, multi-source research summary on a topic and want high information density relative to tokens consumed. Especially useful for AI agent pre-flight briefings, due diligence tasks, or when you need to aggregate knowledge from many APIs and MCP servers without calling each individually. Best when ROI and compression matter more than raw exhaustiveness.
Side effects
- Missing or empty 'query' param returns incomplete or generic digest
- Payment not settled in USDC on Base results in 402 response blocking access
- Invalid 'type' or 'method' fields in input object return schema validation errors
- Upstream MCP server or API unavailability may return partial data or error status
- Query too broad may yield low-quality or unfocused digest
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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