# AgentDiet GitHub Scanner

> AgentDiet GitHub Scanner 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).

Scans a GitHub repository and returns a distilled, token-compressed analysis via AgentDiet's context-window optimization pipeline, paid per-call in USDC.

## Facts

- Endpoint: GET https://status.agentdiet.dev/v1/github-scanner?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-github-scanner-724e7d79
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0OSnRUnQJQEjmKjQoenWB

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-github-scanner-724e7d79
```

Example prompt: Can you scan the GitHub repo 'openai/openai-python' using AgentDiet and give me a compressed, token-efficient summary of what's in it?

## When to prefer this

Choose this endpoint when an AI agent needs to ingest GitHub repository content while minimizing context window token consumption. It is especially useful when processing large or unfamiliar repositories where token cost is a concern, and when you want a deterministic, pay-per-use (micro-payment via x402/USDC) scanning approach rather than a full raw GitHub API response.

## Known failure modes

- Invalid or non-existent repo name returns empty data or error status
- Payment not settled in USDC on Base results in 402 response blocking execution
- Missing required 'input' object in request body returns validation error
- Rate limiting or repo access restrictions on GitHub side may return no data
- Network timeout if repository is very large or GitHub API is slow

## 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 'status' field ('ok'), a 'data' object containing the distilled repository analysis, and an 'roi_proof' object showing the compression_ratio_pct achieved (e.g. 91.4%), demonstrating how much token reduction was applied to the raw repository content.

## 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": {
      "repo": {
       "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-github-scanner-724e7d79/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from status.agentdiet.dev](https://www.zero.xyz/host/status.agentdiet.dev/llms.txt)
