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AgentDiet Web Distillation API (BM25 Budget Mode)
AgentDiet Web Distillation API (BM25 Budget Mode) is a paid API for AI agents from llms-generator.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-21).
Fetches and distills a URL or raw HTML into compact, agent-ready tokens using multiple extraction modes including BM25-ranked budget excerpts with strict token ceilings
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://llms-generator.agentdiet.dev/api/diet)
Output
Returns a JSON object with a 'data' field containing the distilled content (markdown, structured JSON, skeleton, or BM25 excerpt depending on mode), plus an 'roi_proof' object showing raw vs distilled token counts, compression ratio, tokens saved, ROI multiplier, and estimated LLM cost saved. Also includes cache status and billing details.
Example use cases
Summarize docs page for agent context
“Fetch and distill https://docs.openai.com/api-reference into markdown so I can paste it into my agent's context window without blowing the token budget.”
BM25-focused excerpt from a news article
“Pull the article at https://techcrunch.com/2025/01/10/ai-agents-future and extract only the parts about 'autonomous agents' using budget mode, keeping it under 300 tokens.”
Convert raw HTML to structured tables
“I have this raw HTML from a product listing page — can you distill it into structured JSON tables so I can see the product names, prices, and descriptions without all the noise?”
Technical details
Endpoint
GEThttps://llms-generator.agentdiet.dev/api/diet?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to feed web content into an LLM and must stay within a token budget — especially when BM25-ranked relevance filtering is needed to extract only query-relevant passages. Ideal for agentic pipelines that repeatedly fetch documentation, news, or research pages and need to minimize LLM inference costs via compression. Prefer over generic scrapers when token-efficiency ROI reporting and multiple distillation modes (markdown, structured, skeleton, budget) are needed in one call.
Side effects
- URL is unreachable or returns non-200 — fetch fails and status reflects error
- HTML payload is malformed or empty — distillation returns empty or low-quality output
- max_tokens set too low (below 20) — request rejected with validation error
- mode=budget without a query parameter — BM25 ranking cannot be applied, may return generic excerpt
- Payment not provided or insufficient — HTTP 402 returned blocking the request
- URL is a dynamic JavaScript-heavy SPA — raw HTML fetch may miss rendered 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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