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Developers
FINANCIAL AGENTS

Build agents around financial work, not generic autonomy.

FinanceGPT financial agents can coordinate bounded financial tasks, tools, evidence and workflows while preserving human ownership and explicit execution authority.

Answer-first: A FinanceGPT financial agent is a governed agent that operates within explicit tools, data, workspace, policy and human-review boundaries for financial work.

FinanceGPT Developers
intent = "forecast liquidity"evidence = workspace.data()model = LQM.run(evidence)reasoning = QLM.compose(model)action = policy.review(reasoning)
APISDKsMCPLQMQLMAgents
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.

Agent configuration
Tool access
Evidence context
Human handoff
Workflow participation
Usage lineage
Financial Action proposals
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.

Define the financial job and allowed tools.
Bind the correct workspace and evidence context.
Set escalation and human-handoff behavior.
Record tool and model lineage.
Keep proposed financial actions separate from actual execution authority.