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KiHustle Prompt Compressor
x402
KiHustle Prompt Compressor is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Compresses or shortens a text prompt to reduce token usage while preserving semantic meaning
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a 'result' field containing the compressed/processed text and a 'status' field confirming success. The compressed output is a shorter version of the input text optimized for token efficiency.
Example use cases
Trim system prompt for cost savings
“This system prompt is getting expensive to send every time — can you compress it so it uses fewer tokens while keeping the same meaning? Here it is: 'You are an expert financial advisor who helps small business owners understand their cash flow, reduce unnecessary expenses, and prepare for tax season with clear, jargon-free guidance.'”
Fit prompt within model context window
“My prompt is too long and keeps hitting the context limit — can you shorten it without losing the key instructions? The text is: 'Please analyze the following customer support transcripts, identify recurring complaints, categorize them by product area, suggest root causes, and recommend actionable improvements for the support team to implement.'”
Optimize prompt before bulk API calls
“I'm about to send this prompt thousands of times via the OpenAI API and want to cut costs — compress it as much as possible while keeping its intent intact: 'Extract the company name, job title, location, and years of experience from the following resume text and return them as structured JSON.'”
Technical details
Endpoint
POSThttps://kihustle.tech/nexus/api/v1/prompt-compressorWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call prompt compression service billed in USDC microtransactions via x402. It is best suited for agents that repeatedly send the same or similar prompts to LLMs and want to reduce token costs programmatically, especially in high-frequency or budget-constrained pipelines.
Side effects
- Empty or missing 'text' field returns a validation error
- Extremely long inputs may exceed server-side limits
- Vague or already-minimal prompts may return little compression
- Generic 'processed/success' response makes it hard to confirm actual compression quality
- No schema-level error details documented beyond status field
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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