Kairos Signal — 63-Layer Symplectic Neural ODE

Created By

OV3RK1772 months ago

63-layer continuous-time Symplectic Neural ODE computing topological invariants of real market signals. 256-dim feature space with non-Abelian gauge field geometry. 27 data products (property intelligence, DAG manifold computation, federal contracts, distressed real estate) with autonomous Stripe purchase. 500K out-of-pocket validated embeddings. Free tier available.

Overview Content Tools Comments

Overview

Kairos Signal MCP Server

63-layer continuous-time Symplectic Neural ODE for topological signal compression.

Tools

dag_compute: 63-layer DAG manifold forward pass → 256-dim topological vectors
search_leads: 36K+ distressed property leads with skip-trace contacts
purchase_data: Autonomous Stripe purchase (27 SKUs, $49-$2499)
get_distressed_bids: Pre-scored vendor bids with risk flags

Connect

{"mcpServers":{"kairos-signal":{"url":"https://kairossignal.com/mcp"}}}

Try in Playground

Server Config

{
  "mcpServers": {
    "kairos-signal": {
      "url": "https://kairossignal.com/mcp",
      "description": "63-layer Symplectic Neural ODE. 256-dim topological feature compression. 27 data products with autonomous Stripe purchase.",
      "tools": [
        "dag_compute",
        "search_leads",
        "purchase_data",
        "get_distressed_bids"
      ]
    }
  }
}

Project Info

Created At

2 months ago

Updated At

2 months ago

Author Name

OV3RK177

Star

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Language

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License

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Category

Tags

Homepage

https://github.com/OV3RK177/kairos-signal

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