FINANCEGPT DEVELOPERS

Build financial applications on FinanceGPT.

Use FinanceGPT developer capabilities to connect financial data, compose financial intelligence, integrate agents and tools, and build governed financial applications on the shared FinanceGPT core.

Start with the quickstart Explore docs

Developer boundary: APIs and models expose financial intelligence capabilities; they do not imply Financial Actions authority.

FinanceGPT Developers

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

APISDKsMCPLQMQLMAgents

Data & evidence→Quantitative model→Language orchestration→Governed tools

BUILD FINANCIAL APPLICATIONS

Compose data, evidence, quantitative models, language orchestration, tools and governance without collapsing them into a single opaque AI call.

QUANTITATIVE MODEL LAYER

The language model is not the calculator.

Large Quantitative Models provide governed quantitative calculation, while Quantitative Language Models compose language inference with quantitative models, evidence, tools and policy. LQMs calculate; QLMs orchestrate and explain.

Large Quantitative Models Quantitative Language Models

Financial data and evidence

Deterministic and learned quantitative models

Language orchestration

MCP tools and agents

Policy and explicit action boundaries

DEVELOPER PATHS

Build against the layer you actually need.

DEVELOPERChoose the shortest path from idea to governed integration.

Start building on FinanceGPT by choosing an API, SDK, MCP, model, agent or integration surface and applying the platform governance model.

DEVELOPERConnect applications to FinanceGPT through governed APIs.

Build financial applications with FinanceGPT API surfaces for financial intelligence, data, models, agents and governed workflows.

DEVELOPERConnect AI clients to governed financial capabilities.

Connect compatible AI clients and tools to governed FinanceGPT capabilities through MCP with explicit permission and financial action boundaries.

DEVELOPERBuild agents around financial work, not generic autonomy.

Build financial agent experiences with FinanceGPT tools, evidence, models, workflows and explicit human and execution boundaries.

DEVELOPERBuild with quantitative models designed for financial computation.

Build quantitative financial applications with FinanceGPT Large Quantitative Model capabilities, governed model lineage and explicit financial data context.

DEVELOPERConnect financial systems without collapsing their control boundaries.

Connect applications, data sources and financial systems to FinanceGPT through governed integration patterns and workspace-aware controls.

FAQ

Developer platform questions.

Answers to common questions about FinanceGPT Developers, quantitative models and governed application access.

What is the FinanceGPT Developers?

FinanceGPT Developers provides APIs, SDKs, MCP, quantitative model tooling, financial agents, integrations and developer infrastructure for building financial applications.

What is an LQM in FinanceGPT?

A Large Quantitative Model is a quantitative modelling capability intended for structured financial and market computation. FinanceGPT separates quantitative computation from free-form language generation and applies model governance around how model outputs are used.

What is a QLM in FinanceGPT?

Quantitative Language Model capabilities combine structured quantitative context with language interfaces so developers can build financial experiences that remain connected to explicit data, model and governance boundaries.

Does API or agent access automatically allow financial execution?

No. Financial Actions remains a separate governed execution boundary subject to permissions, policy, review and authority.