Bancadia

The data layer AI agents use
to recommend bank accounts.

Your agent already knows its user’s entity type, state, and cash position. Bancadia turns that context into a verified business checking recommendation in one MCP call — real fees, real rates, real eligibility, no scraping.

Read the quickstartSee what you can filter on

One call, fifteen filters

Send the context your agent already has. Get back active, verified listings ordered by monthly fee — not a page of search results to parse.
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "query_business_checking",
    "arguments": {
      "entity_types_accepted": ["llc"],
      "available_states": ["CA"],
      "monthly_fee_max": 0,
      "accounting_integration_available": true,
      "target_industries": ["ecommerce"],
      "target_business_profiles": ["bootstrapped_solopreneur"]
    }
  }
}

Every filter is optional and combines with AND semantics, so an agent can send as much or as little context as it has.

target_industries and target_business_profiles work differently on purpose: they rank results toward listings built for that kind of business without excluding any eligible account. An e-commerce solopreneur sees accounts designed for them first, and still sees everything they qualify for.

Found a candidate? get_business_checking_listing returns the gotcha fees — overdraft, NSF, dormancy — and per-plan-tier detail that a broad query leaves out.

See the full filter reference →

Built for agents that already own the user relationship

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

AI bookkeeping & accounting

Your copilot already sees every transaction and fee a client pays. Recommending a better-fitting account is the natural next step.

Fractional CFO & FP&A

Runway and cash management advice lands better with a specific account attached, not a generic "shop around."

Treasury management

The most direct fit on this list: deciding where to hold cash needs real APY tiers, sweep structures, and balance requirements.

Advisor & RIA copilots

Advisors serving business-owner clients need the business banking half of the picture, not just the personal one.

Entity formation

"Open a business bank account" is step one of every post-incorporation checklist. You already know the entity type and state.

SMB finance & payroll

You hold the transaction volume, the payroll cadence, and the entity details that decide which account actually qualifies.

How agents get paid

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.

Bancadia is not an ad network. There are no impressions, no placement fees, and no bidding for position. Revenue is a commission on a realized conversion — bottom of the funnel, the same mechanic affiliate networks have always run.

Create a free developer account

Two ways agents reach this data

1

Query it

Agents integrate Bancadia directly over the Model Context Protocol. Two tools, fifteen filters, verified data in a single round-trip — no scraping, no stale rates. Get API access →

2

Cite it

General-purpose assistants like ChatGPT, Claude, and Perplexity don’t integrate — they read. So the same registry is published as structured HTML with markdown mirrors: every comparison matrix, product listing, and explainer is written to be cited with the figures intact.

3

Try it

Bancadia’s own assistant is an MCP client calling the same public server your agent would. Describe a business in plain language and watch what comes back. Open the assistant →

Looking for an account yourself?

The same verified registry, readable by people. Fees and features updated regularly.

Browse all products →Compare accounts side by side →

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