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Web Content Distillation with BM25 Budget Control
Web Content Distillation with BM25 Budget Control 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 a URL or accepts raw HTML and distills it into compact, agent-ready content using BM25-ranked token budgets for efficient LLM consumption
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/paywall-clean-extract)
Output
Returns a 'data' object containing the distilled content in the requested format (Markdown, structured JSON, skeleton outline, or BM25 budget excerpt), along with an roi_proof object showing raw vs. distilled token counts, compression ratio, tokens saved, and estimated LLM cost saved in USD. Also includes optional cache hit/miss status and billing info.
Example use cases
Token-efficient documentation ingestion
“Pull the content from https://docs.openai.com/api-reference and distill it into budget mode with my query 'function calling examples' capped at 300 tokens so I can fit it in my prompt.”
Research article extraction for agent pipeline
“Fetch this news article at https://www.nytimes.com/2025/01/15/tech/ai-agents.html and distill it into clean markdown so my agent can read it without blowing the context window.”
Structured data extraction from HTML
“I have a raw HTML blob from a product listing page — distill it in structured mode so I get the tables, metadata, and key fields as JSON without all the noise.”
Technical details
Endpoint
POSThttps://alpha-stream.agentdiet.dev/v1/paywall-clean-extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to read a webpage but want to minimize token usage before passing content to an LLM. It is especially valuable when using BM25 budget mode to extract only query-relevant passages from long pages, making it ideal for RAG pipelines, agent context windows, and cost-sensitive LLM workflows. Prefer it over raw scraping when clean markdown or structured output is needed, or when you want automatic ROI tracking of how many tokens were saved.
Side effects
- URL is unreachable or returns non-200 status — distillation fails with fetch error
- HTML payload is empty or malformed — returns error or empty data
- max_tokens set too low to contain meaningful content — truncated or error response
- BM25 query not provided when mode=budget — may default to full distillation
- Paywall or bot-blocking on target URL — content may be incomplete
- Invalid mode enum value — request rejected with validation error
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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