Return analysis with evidence context.
request → evidence resolution → quantitative calculation → grounded explanation
Your application getsResult + provenance + structured output
It does not get implicitlyPayment, trade or transaction authority
FINANCEGPT DEVELOPERS
Build financial applications without hiding the financial logic.
Use FinanceGPT APIs, quantitative models, agents, MCP tools and evidence-aware workflows to add financial intelligence to your product—while keeping calculations, sources and Financial Actions authority explicit.
API access to analysis or models does not grant Financial Actions authority.
POST /v1/financial-analysis
{
"task": "cash_flow_quality",
"company": "example_company",
"evidence": ["financial_statements"]
}
200 · analysis.readyEvidence linked
Calculation layerQuantitative
Financial Action authorityNone
A QUICK TOUR OF THE DEVELOPER PLATFORM
See the shape of the integration before opening the console.
Choose what you want to build. The demo shows which FinanceGPT layer you would call and what remains explicit underneath the response.
Call the quantitative layer for numerical work.
task: scenario_generation
model: governed_quantitative_model
inputs: observed_financial_state
Use quantitative systems for forecasting, simulation, risk or optimization rather than asking a language model to become the calculator.
Compose tools into a governed finance workflow.
Expose FinanceGPT capabilities through MCP without collapsing permissions.
Tool discoveryCapability-specific
Execution boundaryPolicy and workspace scoped
RECOGNITION · PROGRAMMES · ECOSYSTEM · TRUST
FinanceGPT Developers
NVIDIA Inception
Ecobank Fintech Challenge
Fintech Sandbox
Global FinTech Hackcelerator
AI in Finance Global Challenge
Startup Battlefield 200
START BUILDING
Use the layer your product actually needs.
DEVELOPER
Choose 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.
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.
Make your first FinanceGPT call.
Start in the sandbox, inspect the response contract, then move into APIs, models, MCP, agents and governed production workflows.