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Developers
INTEGRATIONS

Connect financial systems without collapsing their control boundaries.

FinanceGPT integrations connect financial data and application systems to the platform while preserving source identity, workspace access and the distinction between read, analysis and execution capabilities.

Answer-first: A FinanceGPT integration is a governed connection between FinanceGPT and an external application or data source with explicit permissions, data scope and action boundaries.

FinanceGPT Developers
intent = "forecast liquidity"evidence = workspace.data()model = LQM.run(evidence)reasoning = QLM.compose(model)action = policy.review(reasoning)
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Data & evidenceQuantitative modelLanguage orchestrationGoverned tools
CAPABILITIES

What this workflow brings together.

The public page explains the outcome first, then keeps the underlying financial methods, evidence and review path visible.

Data-source connections
Application integrations
Credential governance
Read versus action scopes
Workspace boundaries
Source lineage
Integration diagnostics
HOW IT WORKS

From intent to reviewable output.

FinanceGPT should make complex financial work easier to express without hiding the evidence, calculations or control points.

Identify the source or application boundary.
Configure credentials through governed platform controls.
Grant only required read or action scope.
Preserve source lineage in downstream work.
Monitor integration health and revoke access when no longer needed.