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Context Condense API
x402
Context Condense API is a paid API for AI agents from x402-v2-mint-context-condense.vercel.app, paid per call via x402, $0.008/call, status unknown (last checked 2026-10-31).
Condenses long text into a retained-fact list with a dropped-content log and before/after token counts to help AI agents stay within token budgets
Price / call$0.008
Success—
StatusUnknown
How this service works
Condense text for token budgets: retained-fact list + dropped-content log + before/after token counts (OpenRouter free-first + approx counter). Audit loss.
Output
Returns a JSON object with ok status, a list of retained facts extracted from the source text, a log of dropped content for auditability, and before/after token counts showing how much the text was compressed.
Example use cases
Trim research notes for agent memory
“I have a 5000-word research document and I need it condensed to no more than 20 facts and under 600 tokens — give me the retained fact list and a log of everything that got dropped so I can check what was lost.”
Fit support ticket history into prompt
“Take this long customer support conversation and condense it down to the 10 most important facts within 300 tokens — I need to see before and after token counts so I know how much I saved.”
Compress meeting transcript for LLM context
“This meeting transcript is way too long for my context window — can you condense it to under 500 tokens with up to 12 key facts, and show me what got dropped so I can verify nothing critical was removed?”
Technical details
Endpoint
POSThttps://x402-v2-mint-context-condense.vercel.app/v1/context-condense?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to fit a long document or context into a strict token budget while retaining an auditable list of key facts and a log of what was dropped. It is especially useful for agentic workflows that need transparent information-loss tracking, unlike simple summarization APIs that give no visibility into what was omitted. Best when you need both compression and auditability in a single call.
Side effects
- Text exceeds 20,000 character limit — request rejected with validation error
- target_tokens set below 20 or above 4000 — request rejected
- max_facts outside 1-40 range — request rejected
- OpenRouter upstream failure causing condensation to fail
- Payment not processed (x402 protocol failure) — 402 response returned
- Empty or missing text/content field — no condensation performed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Source text to condense |
| content | string | |
| max_facts | integer | |
| request_id | string | |
| target_tokens | integer |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"skill": "context-condense",
"charged": true,
"summary": "ok"
}
}Tags
x402
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