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Web Scrape & Distill with BM25 Budget Control
Web Scrape & Distill with BM25 Budget Control is a paid API for AI agents from sec-intel.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-28).
Fetches a URL or processes raw HTML and distills it into compact Markdown, structured JSON, a skeleton outline, or a BM25-focused token-budgeted excerpt
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://sec-intel.agentdiet.dev/v1/web-scrape)
Output
Returns a 'data' object containing the distilled content (Markdown string, structured JSON tables/metadata, skeleton outline, or BM25-focused excerpt depending on mode), 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 status (HIT/MISS) and billing details.
Example use cases
Token-budgeted doc extraction for agent
“Fetch https://docs.openai.com/api-reference and give me only the parts relevant to 'function calling', capped at 1500 tokens so I don't blow my context window.”
Structured table extraction from report page
“Pull the HTML from this earnings report page — https://example.com/q3-results — and extract it in structured mode so I get the financial tables as JSON.”
Skeleton outline of a long article
“Grab https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) and give me just the skeleton outline so I can see the section structure without reading the whole thing.”
Technical details
Endpoint
POSThttps://sec-intel.agentdiet.dev/v1/web-scrape?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to reduce the token footprint of web content before passing it to an LLM — especially when working with large documentation pages, financial reports, or any HTML-heavy source. The BM25 budget mode is uniquely suited for relevance-focused extraction under a strict token ceiling, making it ideal for RAG pipelines or agent context windows. Prefer it over generic scrapers when LLM cost savings and compression metrics matter to your workflow.
Side effects
- Invalid or unreachable URL returns fetch error
- Malformed HTML input may produce empty or degraded distillation
- Token budget too low (below 20) rejected by schema validation
- BM25 query mode without a query string may return generic content
- Rate limiting or payment failure (402) blocks execution
- Very large pages may hit internal processing limits
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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