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pagos.andreax.dev Prompt Compressor
x402
pagos.andreax.dev Prompt Compressor is a paid API for AI agents from pagos.andreax.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-13).
Compresses a text prompt into a denser, lower-token equivalent, typically achieving 20-40% token savings without significant loss of meaning.
Price / call$0.001
Success—
StatusUnknown
How this service works
Comprime un prompt a lenguaje denso y devuelve la versión con menos tokens (ahorro típico 20-40%). Úsalo ANTES de enviar prompts a cualquier LLM para bajar el costo de tokens sin perder significado. input=texto a comprimir.
Output
Returns a compressed version of the input text, semantically equivalent but with fewer tokens — typically 20-40% shorter — suitable for direct use as a prompt or context in any LLM API call.
Example use cases
Cut LLM API costs on long system prompts
“Compress this system prompt before you send it to GPT-4 so I spend fewer tokens: 'You are an expert financial advisor with 20 years of experience. Always cite sources, be conservative with recommendations, and remind users this is not official financial advice.'”
Optimize high-volume chatbot prompts
“I'm running thousands of chatbot calls per day and my token bills are huge — compress this prompt template so it uses 20-40% fewer tokens without losing the meaning: 'Please analyze the following customer complaint, identify the root cause, suggest a resolution, and rate the urgency from 1 to 5.'”
Pre-process RAG context before LLM call
“Compress this retrieved document excerpt before I inject it into my LLM prompt, to save on tokens: 'The quarterly earnings report shows revenue increased by 12% year-over-year driven primarily by growth in the enterprise segment and international markets, with operating margins improving to 18.4%.'”
Technical details
Endpoint
GEThttps://pagos.andreax.dev/api/taller/peaje/comprimirWhen to prefer
Choose this endpoint when you need to reduce token costs before calling any LLM and want a simple, cheap preprocessing step. Ideal for high-volume pipelines, long system prompts, or RAG context injection where token budgets matter. Prefer this over manually editing prompts when automation and cost control are priorities.
Side effects
- Missing required 'input' query parameter returns an error
- Very short inputs may yield little or no compression
- Highly structured or code-heavy inputs may compress poorly
- Network or payment (x402) authorization failures return 402 or 5xx errors
- Malformed GET request may result in 400 bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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