Strale Prompt Compress

x402

Strale Prompt Compress is a paid API for AI agents from api.strale.io, paid per call via x402, $0.0324/call, status unknown (last checked 2026-10-27).

Compresses a prompt text by a target percentage to reduce token usage while preserving meaning

Price / call$0.0324

Seller volume →—

Success—

StatusUnknown

How this service works

Compress a prompt to be shorter while preserving semantic meaning. Specify target reduction percentage (10-70%).

Output

Returns a compressed version of the input prompt text with reduced character/token count at approximately the requested reduction percentage, preserving semantic meaning and key instructions. The response includes an audit record with cryptographic chain hashing per Strale's trust layer standard.

Example use cases

Reduce LLM API costs at scale

“I'm sending thousands of requests to GPT-4 and costs are piling up — can you compress this system prompt by 40% so I reduce token usage on every call? Here it is: 'You are a customer support agent for a SaaS company. Be professional, empathetic, and concise. Always ask clarifying questions before proposing a solution. Escalate to a human if the issue is billing-related.'”

Fit prompt into context window

“This prompt is too long for the model's context window — can you shorten it by 30% while keeping the meaning intact: 'You are an advanced research assistant specializing in biomedical literature. Summarize papers, extract key findings, identify methodology flaws, and flag contradictory evidence across sources. Prioritize peer-reviewed journals and note confidence levels.'”

Optimize few-shot prompt examples

“I have a few-shot prompt that's eating up a lot of tokens — please compress it by 35%: 'Given a customer complaint, classify it as Billing, Technical, or General. Example 1: Customer says invoice is wrong — Billing. Example 2: App crashes on login — Technical. Example 3: Asking about office hours — General. Now classify the following complaint:'”

Technical details

Endpoint

GEThttps://api.strale.io/x402/v2/prompt-compress?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to reduce token consumption of LLM prompts at inference time, especially in high-volume or cost-sensitive pipelines. It is preferable to manual summarization when you want deterministic compression with a target percentage and an auditable, cryptographically-hashed record of the transformation. Particularly useful for agents that repeatedly send long system prompts or few-shot examples to expensive LLM APIs.

Side effects

Missing required prompt_text parameter returns a 400 validation error
target_reduction_percent outside a valid range may return an error or be clamped to defaults
Very short input prompts may not compress meaningfully or return unchanged text
Prompt content that is already highly compressed may yield less than the target reduction
Payment failure or insufficient USDC balance returns a 402 Payment Required response

Input

Schema · Request body

Field	Type	Description
prompt_textrequired	string
target_reduction_percent	integer	Default 30

Output

Schema · Response

{
  "original_tokens": {
    "type": "integer"
  },
  "compressed_prompt": {
    "type": "string"
  },
  "compressed_tokens": {
    "type": "integer"
  },
  "actual_reduction_percent": {
    "type": "integer"
  }
}

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