genome-industrial-signals
Real-time conviction signals for 10,000+ industrial companies.
What it can do
- Get Signal: Get the full investment signal for an industrial ticker: conviction score, archetype, trajectory, ECL/PFSL adjustments, options structure, and regime impact.
- Get Screener: Screen all tracked industrial tickers by conviction, signal type, or archetype. Returns ranked list of top signals.
- Get Ecl: Get the current External Constraint Layer (ECL) macro regime and all 7 module scores: CPI (commodity), EPI (energy), LPI (labor), DCSI (demand/channel), DLPS (decision latency), ROC (regime m
What data it sees
Do you need an account
An API key from the service settings is required
Real-time conviction signals for 10,000+ industrial companies. Behavioral fingerprinting, archetype classification, and macro regime analysis powered by the Industrial Genome engine. Built for PE due diligence, M&A target screening, industrial equity research, and manufacturing AI copilots. Covers industrials, utilities, energy midstream, financials, tech, REITs, and telecom. No internal ERP data required — all signals derived from public sources (FRED, SEC EDGAR, BLS, EIA, job postings, supply chain data).
How to connect
How to connect genome-industrial-signals to Claude
The server address to paste into Claude settings:
https://genome-industrial-intelligence--rdcahalane.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect genome-industrial-signals to ChatGPT
The server address to paste into ChatGPT settings:
https://genome-industrial-intelligence--rdcahalane.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect genome-industrial-signals to Cursor
The server address to paste into Cursor settings:
https://genome-industrial-intelligence--rdcahalane.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (9)
Raw names from tools/list. Only developers need these.
| get_signal | Get the full investment signal for an industrial ticker: conviction score, archetype, trajectory, ECL/PFSL adjustments, options structure, and regime impact. |
| get_screener | Screen all tracked industrial tickers by conviction, signal type, or archetype. Returns ranked list of top signals. |
| get_ecl | Get the current External Constraint Layer (ECL) macro regime and all 7 module scores: CPI (commodity), EPI (energy), LPI (labor), DCSI (demand/channel), DLPS (decision latency), ROC (regime multiplier), DCS (data confidence). |
| get_horizons | Get 3M, 6M, and 12M multi-horizon investment signals for a ticker with divergence patterns. |
| get_supply_chain | Get upstream supply chain risk for a ticker — which upstream industries are stressed and how much that drags the conviction score. |
| get_pfsl | Get Pre-Financial Signal Layer (PFSL) scores from SEC EDGAR financials: operational stress, demand signals, capex activity, narrative shift, labor/talent, and Reddit sentiment blend. |
| get_regime | Get a concise summary of the current macro market regime and its impact on conviction scaling. |
| get_diligence | Get a full industrial operational diligence brief for a company. Returns 6-section structured analysis covering operational genome, leadership, supply chain, financial signals, risk flags, and diligence priority questions. |
| ask_genome | Ask a natural language question and get an AI-synthesized answer grounded in live Genome data. Examples: 'Which industrials are best positioned right now?', 'What is HON's signal and why?', 'Is the macro regime favorable for HVAC names?' |