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SqueezeOS — Institutional AI Market Intelligence

Official62 toolsLive

by Timwal78 · Python

Institutional AI market intelligence: squeeze scanner, options flow, council verdicts. x402 RLUSD.

io.github.Timwal78/squeezeos (MCP)

Institutional AI market intelligence “squeezeos”, with a squeeze scanner, options flow, and council verdicts. The repository describes two live MCP servers that expose a total of 44 tools via MCP JSON-RPC 2.0, with per-call payment using USDC on Base or RLUSD on XRPL via x402/HTTP-402.

🛠️ Key Features

  • Two MCP servers: SqueezeOS MCP (33 tools) and 402Proof MCP (11 tools)
  • Protocol: MCP JSON-RPC 2.0
  • x402/HTTP-402 flow for paid calls (retry after payment)

🚀 Use Cases

  • Integrating institutional AI market intelligence into MCP-based AI agents
  • Querying squeeze scanner outputs, options flow data, and council verdicts

⚡ Developer Benefits

  • Discoverable endpoints: https://squeezeos-api.onrender.com/mcp and https://four02proof.onrender.com/mcp
  • Payment-driven access via x402: GET /api/{endpoint} → HTTP 402 → pay → retry with X-PAYMENT

⚠️ Limitations

  • Tool access is described as pay-per-call in USDC (Base) or RLUSD (XRPL)

Topics

ai-agentsmcpx402kinstonopenapiscriptmasterlabssdvosb