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AgentDiet GitHub RAG Context Distiller
x402
AgentDiet GitHub RAG Context 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).
Fetches and compresses a GitHub repository's content into a distilled, token-efficient context using RAG-based summarization, achieving up to 91% compression ratio.
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 status 'ok', a data field containing the distilled/compressed repository content, and a roi_proof object showing the compression_ratio_pct (e.g. 91.4%) achieved — confirming how much token reduction was applied.
Example use cases
Codebase analysis within token limits
“I need to analyze the openai/openai-python GitHub repo but it's too large to fit in my context window — can you distill it down using AgentDiet so I only get the essential content?”
Agent memory optimization for repo tasks
“My AI agent needs to work with the langchain-ai/langchain repo. Can you pull a compressed, token-efficient version of it so the agent can reason about the codebase without burning through my context budget?”
Quick compressed repo overview for code review
“I want a quick compressed summary of the vercel/next.js GitHub repo — run it through AgentDiet and show me what the distilled context looks like along with the compression ratio achieved.”
Technical details
Endpoint
GEThttps://rag-diet.agentdiet.dev/v1/github?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to load a GitHub repository into its context window but the raw content would exceed token limits or be too expensive. It is specifically optimized for GitHub content compression with documented compression ratios up to 91%, making it ideal for agentic workflows that need cost-efficient, deterministic context distillation paid via x402/USDC micropayments on Base.
Side effects
- Invalid or non-existent GitHub repo name returns an error or empty data
- Missing required 'input' object causes schema validation failure
- Rate limiting or payment failure (x402) if USDC payment is not properly settled
- Repo too large or inaccessible may result in partial or failed distillation
- Network timeouts when fetching large repositories
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
Reviews
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