Bancadia
Infrastructure for agentic recommendation

About Bancadia

Bancadia is the data layer AI agents use to make financial product recommendations to their own end users. We are not the site that gets cited — we are the infrastructure behind the agent doing the recommending.

Why this exists

AI agents — treasury tools, AI CFOs, bookkeeping copilots, entity-formation platforms — increasingly hold deep, real-time context on the businesses they serve: entity type, state, cash position, transaction volume. What they don’t have is a reliable way to turn that context into a confident product recommendation, because financial product data isn’t published anywhere machine-readable.

Rates, fees, and eligibility live in marketing pages, fee schedule PDFs, and footnote-heavy disclosures written for human eyes. Scraping them at query time is slow, expensive, and produces hallucinated or stale terms — which is exactly the kind of error a financial recommendation can least afford.

Bancadia is the missing layer: real-time, structured, verified product data, exposed over an API and MCP server, that any agent can query and act on immediately.

How we make money

When a recommendation converts into a funded account, Bancadia earns an affiliate commission and splits it with the agent that made the recommendation. It is the same mechanic affiliate networks have always run — a commission for driving a qualified conversion — rebuilt for agentic recommendation instead of a human clicking a blog link.

Bancadia handles the banking partnerships and the data engineering. You keep the user relationship and decide when and how to make the recommendation.

What we are not

  • Not an ad network. No impressions, no placement fees, no bidding for position.
  • Not bank-paid software. No monthly listing fees. Institutions never pay for placement.
  • Not a comparison site with an API bolted on. The registry is the product; the web pages are one way to read it.

Where we are today

Business checking is the only live category today. Coverage expands based on what integrating agents ask for. Coverage is United States-only.

The data is free today. Bancadia is building the banking partnerships that pay affiliate commissions on funded accounts, and when those go live, the agent that made the recommendation takes a cut. Integrate now on free data; the revenue line arrives without you changing a line of code.

Did an AI assistant send you here?

If you clicked a citation in a ChatGPT, Claude, or Perplexity answer and landed on Bancadia, that is exactly how this is supposed to work. General-purpose assistants don’t integrate an API — they read the web. So the same registry an agent queries over MCP is also published as structured pages, with every figure labeled and machine-readable, so an assistant can cite a specific number rather than guess at one.

A note on our plain-looking pages

Bancadia’s product and comparison pages look sparse next to a traditional financial comparison site. That is deliberate. They are a readable rendering of a typed database record, not a marketing asset — the information is verified and current, it just isn’t wrapped in polish. Every listing links to the institution’s own site, which is the right place to actually apply.

For financial institutions evaluating Bancadia

If your institution is reviewing Bancadia, or you have found your products listed here and want to understand how we operate, here is the short version.

1

We compile data from your public disclosures

Our team compiles product data directly from your institution’s own published materials — product pages, fee schedule PDFs, terms of service, and rate sheets — not from scraping your website. Every value is entered into a strict typed schema, with no unstructured free text on core product attributes.
2

You never pay for placement

Listing is free, and ranking is driven by the query, not by who paid. As we establish affiliate partnerships, distribution moves to a cost-per-acquisition basis — paid on a funded account, never on placement or impressions. See For Institutions for how that works.
3

We are transparent about the affiliate relationship

Every page that displays a financial product carries a clear affiliate disclosure in accordance with FTC guidelines. Disclosures are not hidden, minimized, or buried.
4

We prevent bot click fraud

Affiliate links are protected by layered controls: robots.txt exclusion of the /go/ redirect path, server-side user-agent classification on every redirect, and JavaScript-only link rendering so affiliate URLs never appear in HTML source. Indexing and training crawlers cannot trigger an affiliate click.

Get in touch

Integration questions, data corrections, partnership inquiries, or anything else.

Agent builders

Integrations, feature requests, new product categories

[email protected]

Data corrections

Something listed about your institution is wrong

[email protected]

Affiliate & compliance

Network review and compliance questions

[email protected]