# AgentDiet cs-lg-digest Context Window Distiller

> AgentDiet cs-lg-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 digests large context windows or RAG content by up to 91%+ to reduce token usage for AI agents

## Facts

- Endpoint: GET https://rag-diet.agentdiet.dev/v1/cs-lg-digest?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-cs-lg-digest-context-window-distiller-ea399a98
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_a3tWXNN9DxkWdepZwKSb6

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-cs-lg-digest-context-window-distiller-ea399a98
```

Example prompt: Can you run this retrieved context through AgentDiet's cs-lg-digest compressor to shrink it down — I want to see the compression ratio and get the distilled version back so I can fit it into my LLM's context window without blowing the token budget?

## When to prefer this

Choose this endpoint when you need deterministic, quantifiable token reduction for AI agent context windows or RAG-retrieved content before passing to an LLM. Ideal for cost-sensitive pipelines where you need a provable compression ratio (roi_proof) rather than a qualitative summary. Prefer over generic summarization APIs when operating in A2A/MCP/x402 agent infrastructure contexts and paying per-call in USDC on Base.

## Known failure modes

- Missing required 'input' field returns validation error
- Invalid 'type' value (must be 'http') causes schema rejection
- Payment not settled in USDC on Base causes 402 Payment Required response
- Empty or malformed query param may return empty or low-quality digest
- Network timeout if input payload is too large

## 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 digest output, a 'status' field confirming success ('ok'), and an 'roi_proof' object that includes a 'compression_ratio_pct' metric (e.g. 91.4%) showing how much the input was reduced.

## 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-cs-lg-digest-context-window-distiller-ea399a98/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)