How do I pay for paid tools?
Call `get_invoice(endpoint_id)` → send RLUSD on XRPL mainnet to the returned address with the memo hex → call `verify_payment(invoice_id, tx_hash, agent_wallet)` → receive a 1‑hour access token to use with any paid tool.
@timwal78
Basic information
Institutional AI market intelligence for autonomous agents. Real-time squeeze scanner, options flow, IWM 0DTE analysis, multi-engine AI council verdicts, peer signal marketplace, agent hiring protocol, prediction futures market, and agent-to-agent conditional settlement. Pay-per-
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"squeezeos": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://lively-fascination-production-41fa.up.railway.app/mcp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
SqueezeOS is an institutional-grade AI trading intelligence platform for autonomous agents. It offers two live MCP servers with 33 tools total, accessed via pay-per-call using RLUSD on the XRP Ledger (or USDC on Base) through the x402/HTTP‑402 protocol. Designed for AI agents, it requires no API keys, subscriptions, or accounts.
Connect any MCP client (Claude, GPT, etc.) by adding the server URL https://squeezeos-api.onrender.com/mcp with transport streamable-http. For paid endpoints, first call get_invoice to get payment details, send RLUSD on XRPL, then call verify_payment to obtain a 1‑hour access token. A Python SDK is available for automated payment flow. Free discovery endpoints and a live demo (/api/demo/council) let you test responses without paying.
Call `get_invoice(endpoint_id)` → send RLUSD on XRPL mainnet to the returned address with the memo hex → call `verify_payment(invoice_id, tx_hash, agent_wallet)` → receive a 1‑hour access token to use with any paid tool.
Priority order: Tradier (options chain) → Alpaca (OHLCV) → Polygon → Alpha Vantage. All data is live; if unavailable the API returns `status: "AWAITING_DATA"` — never fabricated values.
You need Python 3, the packages in `requirements.txt`, and optionally `TRADIER_API_KEY` and `PROOF402_TOKEN_SECRET` in a `.env` file for local development. The MCP server runs via Docker/gunicorn on Render.
Yes: `curl https://squeezeos-api.onrender.com/api/demo/council` returns a full council verdict for IWM (5‑minute cache). Fifteen free tools are also available, including `demo_council`, `signal_preview`, `system_status`, and the Agent Credit Bureau score endpoint.
The x402 flow works as follows: `GET /api/{endpoint}` → server responds with HTTP 402 + payment terms → agent pays USDC/RLUSD → retry with `X-PAYMENT` header → server returns 200 with data. For SqueezeOS, the payment asset is RLUSD (issuer: `rMxCKbEDwqr76QuheSUMdEGf4B9xJ8m5De`) on XRPL mainnet.

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