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AgentDiet Context Diet — BM25 Budget-Controlled Web Distillation
AgentDiet Context Diet — BM25 Budget-Controlled Web Distillation is a paid API for AI agents from alpha-stream.agentdiet.dev, paid per call via MPP, $0.001/call, status unknown (last checked 2026-10-23).
Fetches a URL or processes raw HTML and distills it into compact, agent-ready tokens using BM25-ranked budget control to maximize information density within a token ceiling.
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://alpha-stream.agentdiet.dev/v1/context-diet)
Output
Returns a JSON object with a 'data' field containing the distilled content (Markdown, structured JSON, skeleton outline, or BM25 excerpt depending on mode), plus an 'roi_proof' object showing raw_tokens, distilled_tokens, tokens_saved, compression_ratio_pct, roi_multiplier, and llm_cost_saved_usd. Also includes cache hit/miss status and billing details.
Example use cases
Fit documentation into LLM context window
“Take the content at https://docs.anthropic.com/claude/reference/getting-started-with-the-api and distill it into budget mode focused on 'rate limits and authentication', keeping it under 800 tokens — I need to feed it to another model without blowing the context window.”
Extract relevant section from long article
“Grab https://en.wikipedia.org/wiki/Large_language_model and give me a BM25 budget excerpt focused on the query 'training data and compute scaling', max 400 tokens, in markdown format.”
Compress raw HTML for agent pipeline
“I have a raw HTML blob from a scraped pricing page — distill it into a structured mode so I can pull out the pricing table without wasting tokens on nav bars and footers.”
Technical details
Endpoint
POSThttps://alpha-stream.agentdiet.dev/v1/context-diet?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to feed web content to an LLM but want to minimize token consumption and cost, especially when you have a strict context window budget or a specific query focus. It excels over generic scrapers when you need BM25-ranked relevance filtering (budget mode) rather than full-page extraction. Prefer it over raw fetch-and-summarize approaches when ROI metrics (tokens saved, compression ratio) matter for agent cost accounting. Best for agentic pipelines that process many URLs and need predictable, bounded token output.
Side effects
- URL is unreachable or returns a non-200 status — endpoint may return an error status
- HTML payload is malformed or empty — distillation returns minimal or empty data field
- max_tokens set too low (below 20) — rejected by schema validation
- mode=budget used without a query parameter — BM25 ranking has no focus signal
- Rate limiting or payment failure via x402 — 402 response with payment required details
- Idempotency-Key collision across different request bodies — may return cached result unexpectedly
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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