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Agent access

Every capability is callable.

Company data, field queries, screens, model compilation, thesis health, portfolio risk, deep research, backtests, workflows and decision proposals. The same entitlement, audit and permission checks apply whether the caller is the desktop, Excel, a notebook or an autonomous agent.

Excel and Google Sheets, today

From the Workspace tab in the desktop terminal:

  • Connect Excel generates a VBA module. Import it into Microsoft Excel once, and formulas in your workbook call Quantify Terminal directly.
  • Google Sheets copies an Apps Script connector. Paste it under Extensions › Apps Script, and formulas in the sheet do the same.
  • The built-in Workspace spreadsheet runs the same formulas inside the terminal, with CSV, JSON and XLSX import and export.

The formula is the same everywhere:

=QT("AAPL","price")

The connector carries its own protected settings. You never handle a cloud URL, a key or a deployment step; the terminal injects them into the module or script it generates for you.

API, Python and MCP

The same capabilities are exposed to code and to agents: an HTTP API, a Python client, and an MCP server so an agent can call the terminal as a tool. Access opens with the paid tiers. Every call is entitled per source, recorded with an audit event, and bound to the same permission checks as a person at the desk. Request early access and we will send the first configuration when it is ready.

What an agent can do

  • Read any field it is entitled to, at any point in time, with the source attached.
  • Run screens, compile models, compute thesis health and portfolio risk, run deep research and backtests.
  • Propose a decision, with its evidence, for a person to approve.

What an agent cannot do

  • Place an order. Execution requires human confirmation, always.
  • See data the caller is not licensed to see, or feed display-only data into a process. See how we handle data rights.
  • Act without an audit event.