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Web Page & HTML Token Optimizer with BM25 Budget Control
Web Page & HTML Token Optimizer with BM25 Budget Control is a paid API for AI agents from company-enrich.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 compressed Markdown, structured JSON, skeleton outline, or a BM25-focused budget excerpt — returning token savings proof alongside the result.
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://company-enrich.agentdiet.dev/v1/token-optimizer)
Output
Returns a JSON object with a `data` field containing the distilled output (Markdown, structured JSON, skeleton, or BM25 excerpt depending on mode), an `roi_proof` object showing raw vs distilled token counts, tokens saved, compression ratio percentage, estimated LLM cost saved in USD, and ROI multiplier. Also includes optional cache status (HIT/MISS with latency) and billing details (fee charged, payment method, agent ID).
Example use cases
LLM context window budget management
“Fetch https://openai.com/research/gpt-4 and compress it into budget mode focused on the query 'context length improvements', capped at 800 tokens — I need to pass it to another model without blowing the context window.”
Structured data extraction from product page
“Take the raw HTML of this e-commerce page and distill it into structured mode so I get the product names, prices, and specs as clean JSON tables rather than a wall of HTML.”
Quick skeleton outline of documentation site
“Give me a skeleton outline of https://docs.github.com/en/actions so I can see the high-level structure of the page without reading the whole thing — just the headings and key sections.”
Technical details
Endpoint
POSThttps://company-enrich.agentdiet.dev/v1/token-optimizer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to pass web content to an LLM but want to minimize token consumption — especially when working with long documentation pages, news articles, or HTML-heavy sites. It is uniquely suited for budget-constrained agent workflows where you need BM25 relevance filtering to extract only the most query-relevant content, or when you want structured JSON tables rather than raw HTML. Prefer over generic scrapers when token ROI reporting and compression metrics matter to your pipeline.
Side effects
- Missing or unreachable URL returns a fetch error with non-ok status
- mode=budget without a query or max_tokens may return unfiltered or default output
- Very large HTML payloads may hit processing limits or increase latency
- Invalid URL format causes immediate validation rejection
- If the page returns non-HTML content (e.g. PDF, binary), distillation may fail or return empty data
- Cache MISS on first call may be slower than subsequent HIT calls
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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