Agent-first by design

Banking for AI

Give AI agents structured access to banking knowledge — banks, rails, standards, regulation — with honest provenance.

Banking infrastructure designed for humans and machines

AI agents are entering banking workflows — research, compliance, operations, support. They cannot read PDFs of regulation or marketing sites; they need typed entities, stable identifiers and honest provenance. Banking Foundation structures the banking world so that an agent can understand it: every page has an API twin, and the whole map is one GET away.

AI banking assistants

Ground a customer- or staff-facing assistant in real entities: banks, rails, jurisdictions, regimes.

Compliance agents

Resolve an institution to its jurisdiction, regulators and licensing context before human review.

Fraud & risk analysis

Use the infrastructure map to reason about where a payment actually travels and settles.

Underwriting

Structured context on institutions and jurisdictions as an input to credit and counterparty decisions.

Treasury intelligence

Which rails connect two jurisdictions, their settlement models and operating currencies.

Financial operations

Vendor due diligence across the provider registry, layer by layer.

How to point an agent here

Machine-readable index

GET https://banking.foundation/llms.txt # describes every dataset and endpoint

One-call context

GET https://banking.foundation/api/v1/all # entire dataset, one JSON response

Example tool definition

{ "name": "banking_foundation_lookup", "description": "Structured reference data on banks, payment networks, standards, providers, regulators and jurisdictions. NOT real-time.", "input": { "entity_type": "banks|payment-networks|…", "id_or_query": "string" } // GET /api/v1/{entity_type}/{id} // or GET /api/v1/search?q={query} }

Honesty contract for agents

Every response carries data_version (seed-0.1 · 2026-08-28). Figures are approximate reference values; regulatory summaries are structured descriptions of public frameworks, not legal advice; nothing here is real-time. Correct uses: entity resolution, classification, jurisdiction/rail context, vendor mapping. An agent that needs live balances, quotes or the current text of a regulation must go to the primary source — which every entity page links.

Roadmap: an MCP server exposing these endpoints as native agent tools. Early interest: admin@digitaldomains.market.