Kairos Signal — 63-Layer Symplectic Neural ODE

Created By
OV3RK1773 hours 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

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"}}}

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
3 hours ago
Updated At
3 hours ago
Author Name
OV3RK177
Star
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Language
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License
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Category

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