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Web URL Token Optimizer & Distiller
Web URL Token Optimizer & Distiller is a paid API for AI agents from polymarket-odds.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches a URL or raw HTML and compresses it into compact, agent-ready tokens using BM25-controlled distillation modes (markdown, structured, skeleton, or 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://polymarket-odds.agentdiet.dev/v1/token-optimizer)
Output
Returns a JSON object with a 'data' field containing the distilled content (markdown, structured tables, skeleton, or BM25 excerpt), a cache status object (HIT/MISS), billing info, and an roi_proof object showing raw token count, distilled token count, tokens saved, compression ratio percentage, ROI multiplier, and estimated LLM cost saved in USD.
Example use cases
Compress docs for LLM context
“Fetch https://docs.openai.com/api-reference and distill it into structured markdown so I can include the key info in my prompt without blowing my context window.”
BM25 budget excerpt for research
“I need a tight summary of https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) focused on 'attention mechanism' — use budget mode and cap it at 300 tokens.”
Skeleton outline of a news article
“Pull https://techcrunch.com/2024/05/01/some-article and give me a skeleton outline of the page structure so I can quickly understand what sections are covered.”
Technical details
Endpoint
GEThttps://polymarket-odds.agentdiet.dev/v1/token-optimizer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to reduce the token footprint of web content before feeding it to an LLM, especially when operating under strict context window constraints or LLM cost budgets. It is particularly valuable when you need BM25-focused relevance filtering (mode=budget with a query) to extract only the most relevant passages from large documents. Prefer it over raw web scraping when your downstream task is LLM inference and token cost or context size is a concern.
Side effects
- URL is unreachable or returns a non-200 HTTP status — endpoint may error or return empty data
- Token budget too low (max_tokens < 20) — rejected with validation error
- BM25 query provided without mode=budget — query parameter may be silently ignored
- Raw HTML too large — may time out or exceed processing limits
- Invalid mode enum value — returns error response
- Paywalled or JavaScript-rendered pages may return incomplete 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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