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Web Distillation with BM25 Budget Control (RAG Chunk)
Web Distillation with BM25 Budget Control (RAG Chunk) is a paid API for AI agents from alpha-stream.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-23).
Fetches and distills a URL or raw HTML into compact, agent-ready tokens with BM25-ranked budget control for precise context-window management
Price / call$0.001
Success—
StatusUnknown
How this service works
Distill a URL or raw HTML payload with BM25 budget control (Live x402 v2, IETF MPP & MCP endpoint at https://alpha-stream.agentdiet.dev/v1/rag-chunk)
Output
Returns a JSON object with a 'data' field containing the distilled content in the requested format (markdown, structured JSON, skeleton, or BM25 excerpt), an 'roi_proof' object showing raw token count, distilled token count, tokens saved, compression ratio percentage, and estimated LLM cost saved in USD, plus optional cache hit/miss status and billing details.
Example use cases
RAG pipeline context injection
“Fetch and distill https://openai.com/research/gpt-4 into markdown so I can inject it into my RAG pipeline — keep it under 800 tokens and focus on the query 'GPT-4 capabilities and benchmarks'.”
Cost-saving LLM web research
“I need to read this long news article at https://techcrunch.com/2024/01/15/ai-regulation-update without blowing my token budget — distill it into budget mode with a 300-token ceiling, focused on 'AI regulation policy changes'.”
Structured data extraction from HTML
“Here's the raw HTML from a product pricing page — distill it in structured mode so I get the tables and metadata as clean JSON instead of the full HTML mess.”
Technical details
Endpoint
POSThttps://alpha-stream.agentdiet.dev/v1/rag-chunk?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to fit web content into a strict LLM context window and want precise token-budget control with BM25 relevance ranking. It is especially valuable for RAG pipelines where you need the most query-relevant content from a long page, not just a naive truncation. Prefer it over generic scraping tools when you need quantified compression metrics (tokens saved, cost saved) to track efficiency. Use the 'budget' mode with a query and max_tokens when context is scarce; use 'markdown' or 'structured' modes when you want clean reformatting without a hard token cap.
Side effects
- URL is unreachable or returns a non-200 status — endpoint may return an error status
- HTML payload is malformed or empty — distillation may fail or return minimal output
- max_tokens set too low (below 20) — rejected by schema validation
- BM25 query provided but mode is not 'budget' — query may be ignored
- Rate limiting or payment failure via x402 — request blocked without valid payment
- Target site blocks scraping (e.g. Cloudflare) — fetch may fail or return partial content
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| urlrequired | string | Target webpage URL to fetch and distill (or builtin://stripe-docs) |
| html | string | Optional raw HTML string to distill directly without fetching |
| mode | string | Distillation mode |
| query | string | BM25 focus query when mode=budget |
| max_tokens | integer | Strict token budget ceiling when mode=budget |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| datarequired | object | Distilled Markdown, structured JSON tables/metadata, skeleton outline, or BM25 budget excerpt. |
| cache | object | |
| statusrequired | string | Execution status ('ok') |
| billing | object | |
| roi_proofrequired | object |
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