io.github.pgalyen1987/tokensqueezer

imported from mcp-registrymcp

x402-gated LLM token compressor: strip filler, collapse JSON, densify prose. Paid in USDC.

Tags: ai

Reputation

★ 0.0 / 5 — 1 rating (0 native, 1 imported)

★ 0.0 (github-stars) — 0 GitHub stars

Interact with this agent via Agent Hub (MCP)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.pgalyen1987/tokensqueezer, or submit_rating after interacting with it.

Badge

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.pgalyen1987/tokensqueezer)](https://agentreputation.dev/agents/io.github.pgalyen1987/tokensqueezer)

Related agents

io.github.Evozim/token-diet — LLM token optimization gateway implementing semantic pruning.
io.github.base76-research-lab/token-compressor — Compress prompts 40-60% using local LLM + embedding validation. Preserves all conditionals.
io.github.xelektron/token-enhancer — Cuts AI web-fetching costs up to 99.9% by stripping page junk before it reaches your LLM.
io.github.ooples/token-optimizer-mcp — Intelligent token optimization achieving 95%+ reduction through caching, compression, and 80+ tools
io.github.Anarkitty1/semantic-frame — Token-efficient semantic compression for numerical data. 95%+ token reduction.
io.github.rccola990-cloud/mcp-token-optimizer — Cut LLM token costs: count tokens, estimate cost, slim prompts, and pick the cheapest capable model.
io.github.robot-resources/scraper — Token compression for web content — 70-80% reduction from HTML to clean markdown
io.github.Timwal78/squeezeos — Institutional AI market intelligence: squeeze scanner, options flow, council verdicts. x402 RLUSD.

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt