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AgentDiet Token Optimizer — BM25 Web Distillation
AgentDiet Token Optimizer — BM25 Web Distillation is a paid API for AI agents from mesh.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-23).
Fetches and compresses a URL or raw HTML into token-efficient markdown, structured JSON, outline skeleton, or BM25-focused budget excerpt to reduce LLM context costs
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://mesh.agentdiet.dev/v1/token-optimizer)
Output
Returns a JSON object with a 'data' field containing the distilled content (markdown string, structured JSON tables/metadata, skeleton outline, or BM25-focused excerpt depending on mode), plus an 'roi_proof' object showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, and llm_cost_saved_usd. Also includes cache hit/miss status and billing details.
Example use cases
Focused doc extraction for coding agent
“Pull the Stripe docs from https://stripe.com/docs/api/charges and give me only the parts about creating a charge — use budget mode with query 'create charge' and cap it at 500 tokens.”
Cheap web grounding for research pipeline
“I need to read https://en.wikipedia.org/wiki/Transformer_(machine_learning_model) without blowing my token budget — distill it into markdown and tell me how many tokens you saved.”
Structured data extraction from a landing page
“Scrape https://openai.com/pricing and return it as structured JSON tables so I can compare the model tiers without manually parsing all that HTML.”
Technical details
Endpoint
POSThttps://mesh.agentdiet.dev/v1/token-optimizer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to read web pages or HTML documents without consuming excessive LLM context tokens — especially when working within a strict token budget or needing only query-relevant sections via BM25 ranking. Prefer it over raw web scraping when token efficiency and LLM cost reduction are priorities, or when structured/skeleton output is needed instead of raw HTML. Particularly valuable in agentic pipelines that process many URLs and need compression ROI metrics.
Side effects
- URL unreachable or returns non-200 — fetch error returned
- HTML payload too large or malformed — processing error
- max_tokens below minimum of 20 — validation error
- BM25 query missing when mode=budget — incomplete results or error
- Rate limit or payment failure via x402 — 402 Payment Required response
- Invalid mode enum value — schema 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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