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AgentDiet Research Digest
x402
AgentDiet Research Digest 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).
Returns a compressed, token-efficient research digest by distilling input queries into a summarized intelligence output, reducing context window bloat by up to 91%.
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 the compressed research output, a 'status' field ('ok' on success), and a 'roi_proof' object showing the compression_ratio_pct (e.g. 91.4%), demonstrating how much token bloat was removed.
Example use cases
Token-efficient market research for agents
“Get me a compressed research digest on 'decentralized AI compute markets' — I need it distilled down to the key intelligence, not the full verbose output, so my agent doesn't burn through its context window.”
Research briefing for autonomous workflow
“Fetch a research digest on 'USDC stablecoin adoption trends' using a GET query, and give me back the compressed summary with the compression ratio so I know how much I saved.”
Pre-flight intelligence check before reasoning task
“Before I send this to my reasoning agent, can you run a research digest on 'Ethereum Layer 2 scaling solutions' and return the distilled version — I want to keep my context slim and focused?”
Technical details
Endpoint
GEThttps://status.agentdiet.dev/v1/research-digest?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to retrieve research on a topic while aggressively minimizing token consumption. It is ideal for agentic pipelines where context window space is at a premium, for pre-processing research before feeding it into a reasoning step, or when you need verifiable proof of compression (roi_proof). Prefer it over raw web search or uncompressed retrieval when the downstream consumer is an LLM with limited context or when token cost is a concern.
Side effects
- Missing or malformed 'query' parameter returns empty or error data payload
- Payment not settled in USDC on Base results in 402 Payment Required response
- Invalid HTTP method (not GET or POST) returns schema validation error
- Upstream research source unavailable may return empty data with ok status
- Rate limiting or quota exhaustion may result in failed requests
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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