AgentDiet CS-LG Digest — Context Window Distiller 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).
Compresses and digests large agent context windows, reducing token count by up to 85-91% while preserving essential information.
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://status.agentdiet.dev settling in USDC on Base.
Returns a JSON object with a 'data' field containing the compressed/distilled context, a 'status' field ('ok' on success), and an 'roi_proof' object containing a 'compression_ratio_pct' value (e.g. 91.4%) demonstrating how much token reduction was achieved.
GEThttps://status.agentdiet.dev/v1/cs-lg-digest?utm_source=zero.xyzChoose this endpoint when an AI agent needs to reduce context window size before an LLM call, when token costs are a concern in long-running agent pipelines, or when passing context between A2A nodes and you need deterministic compression with a verifiable compression ratio proof. Prefer over manual summarization when you need reproducible, measurable token reduction.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
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