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AgentDiet Research Digest — Context Window Distiller
x402
AgentDiet Research Digest — Context Window Distiller 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).
Compresses and distills a research query into a token-efficient digest, reducing context window bloat by up to 91% via RAG-based summarization
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
Returns a JSON object with a 'data' field containing the compressed research digest, a 'status' field ('ok' on success), and a 'roi_proof' object showing the compression_ratio_pct achieved (e.g. 91.4%), confirming how much token reduction was accomplished.
Example use cases
Token budget trimming before LLM call
“I have a research query about 'semiconductor shortage effects on EV manufacturing' and my context window is already 80% full — can you distill it into the smallest possible digest so I don't exceed my token limit?”
A2A pipeline context handoff
“Before passing results to the next agent node, compress the research on 'quantum computing commercial timelines' using AgentDiet's digest endpoint so the downstream agent gets only the essential information.”
Cost reduction on repeated research lookups
“I keep querying 'federal reserve interest rate history' in my pipeline and it's burning tokens — can you get me a compact research digest of that topic so I can reuse it cheaply across multiple agent calls?”
Technical details
Endpoint
GEThttps://rag-diet.agentdiet.dev/v1/research-digest?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent pipeline needs to reduce context window size before passing information to a downstream LLM or agent node, especially when token costs are a concern. It is best suited for A2A, B2A, or MCP workflows where a research query needs to be distilled into a compact, reusable digest. Prefer this over generic summarization when you need a measurable compression ratio proof and pay-per-use micropayment pricing via x402/USDC.
Side effects
- Missing or empty 'query' parameter returns an error or empty digest
- Payment not settled in USDC on Base results in 402 Payment Required
- Invalid HTTP method (not GET or POST) returns a 400 or schema validation error
- Query too vague or short may yield low compression ratio or minimal output
- Service unavailability returns a non-200 status with no 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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