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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 2026-09-14).
Compresses or shortens input text, likely to reduce token count for use in LLM prompts
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 processed/compressed text and a 'status' field indicating success. The compressed output should be a shorter version of the input text suitable for use in LLM prompts.
Example use cases
Reduce LLM API costs via prompt compression
“I have a very long system prompt I keep sending to GPT-4 and it's eating up my token budget — can you compress it down so it means the same thing but uses way fewer tokens? Here it is: 'You are an expert customer support agent for an e-commerce company. You help customers with orders, returns, refunds, and general inquiries. Always be polite, empathetic, and resolve issues as quickly as possible.'”
Fitting context into a short context window
“I need to squeeze this article into a small context window for my local LLM — can you compress this text to make it as short as possible while keeping the key information? Text: 'The history of artificial intelligence dates back to the 1950s when Alan Turing proposed the Turing Test as a measure of machine intelligence...'”
Optimizing automated agent instructions
“My AI agent workflow has a huge instruction block that I pass on every call — can you compress these instructions down to save tokens? The text is: 'Step 1: Gather user input. Step 2: Validate that the input is complete and well-formed. Step 3: Route the request to the appropriate handler. Step 4: Log the request for auditing. Step 5: Return the result to the user.'”
Technical details
Endpoint
POSThttps://kihustle.tech/api/v1/prompt-compressorWhen to prefer
Choose this endpoint when you need to reduce the token length of a prompt or text block before passing it to an LLM, especially when operating under tight context window constraints or trying to reduce per-call LLM costs. At $0.002 USDC per call it is economical for repeated use in automated pipelines.
Side effects
- Empty or missing 'text' field returns an error
- Extremely long input may time out or be rejected
- Non-string input type may cause processing failure
- Vague generic response schema ('result: processed') makes it unclear exactly what form the compressed text takes
- Service may not actually compress meaningfully depending on implementation quality
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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