# AgentDiet RAG-Diet Mesh Dispatch — Context Window Distiller

> AgentDiet RAG-Diet Mesh Dispatch — 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 AI context windows via a query-based mesh dispatch, reducing token usage by up to 85-91% while preserving semantic fidelity.

## Facts

- Endpoint: GET https://rag-diet.agentdiet.dev/v1/mesh/dispatch?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-rag-diet-mesh-dispatch-context-window-distiller-9384a9e7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1E62qu3KJ9zq3i4M3vSDC

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-rag-diet-mesh-dispatch-context-window-distiller-9384a9e7
```

Example prompt: Can you run this query through the AgentDiet context distiller to compress the retrieved context and show me how much token reduction I get? The query is: 'summarize the quarterly earnings report for Q3 2024'.

## When to prefer this

Choose this endpoint when your AI agent or pipeline needs to reduce token usage before passing retrieved or aggregated context to an LLM, particularly in RAG, A2A, or MCP workflows where context windows are tight or inference costs are high. It is especially useful when you need verifiable compression metrics (roi_proof) to demonstrate token savings. Prefer it over manual truncation or summarization when deterministic, structured compression with a proof of reduction is required and you are operating in a USDC-on-Base micropayment-capable environment.

## Known failure modes

- Missing required 'input' object or 'type'/'method' fields returns a validation error
- Unsupported HTTP method enum value (not GET or POST) causes rejection
- Payment not settled in USDC on Base results in 402 Payment Required
- Empty or malformed query string may return empty or minimal distilled output
- Network or node mesh failure may return non-ok status

## 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 'status' field ('ok'), a 'data' object containing the distilled/compressed output, and an 'roi_proof' object including a 'compression_ratio_pct' value (e.g. 91.4%) showing how much the context 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-rag-diet-mesh-dispatch-context-window-distiller-9384a9e7/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)