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Webpage Distiller with BM25 Budget Control
Webpage Distiller with BM25 Budget Control is a paid API for AI agents from workflows.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, token-efficient markdown, structured JSON, outline skeleton, or BM25-scored excerpt within a strict token budget
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://workflows.agentdiet.dev/v1/webpage-distiller)
Output
Returns a distilled representation of the webpage in the requested mode (markdown, structured JSON tables/metadata, skeleton outline, or BM25-ranked budget excerpt), along with an ROI proof object showing raw token count, distilled token count, tokens saved, compression ratio percentage, estimated LLM cost saved in USD, and a ROI multiplier. Also includes cache hit/miss status and billing details.
Example use cases
Research page distillation for LLM context
“Pull https://openai.com/research/gpt-4 and distill it into markdown so I can drop it into my prompt without blowing the context window.”
BM25 focused excerpt for RAG pipeline
“Distill https://docs.aws.amazon.com/s3/latest/userguide/Welcome.html in budget mode with the query 'presigned URLs' and cap the output at 300 tokens — I only want the most relevant section.”
Structured product data from raw HTML
“I have raw HTML from a SaaS pricing page — distill it into structured JSON so I can extract the pricing tiers and feature lists without parsing it myself.”
Technical details
Endpoint
POSThttps://workflows.agentdiet.dev/v1/webpage-distiller?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to ingest web content but must stay within a token budget or minimize LLM inference cost. It is especially valuable for RAG pipelines, research agents, and agentic workflows that routinely fetch multiple pages and need BM25-ranked excerpts scoped to a specific query. Prefer it over raw web scraping when you need token-efficient, agent-ready output rather than raw HTML, and when you want built-in ROI accounting showing exactly how many tokens and dollars were saved.
Side effects
- Invalid or unreachable URL returns an error status
- HTML payload too large may exceed processing limits
- mode=budget without a query or max_tokens may return unfiltered content
- Network timeout if the target URL is slow to respond
- Malformed HTML may produce incomplete or inaccurate distillation
- Token budget too small (below 20) returns a 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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