Interactive App

FDIC Bank Data

Search 27,000+ FDIC-insured banks — financials, branches, failures, and holding-company structure in one click.

For: Bank analysts, fintech BD, M&A research, and compliance teams who want answers without learning the BankFind UI

  • 27,000+ active and historical FDIC-insured institutions
  • Branch maps, holding-company rollups, and failure history
  • Refreshed weekly from official FDIC bulk data
  • No login, no API key — open in the browser
Open the AppUse from Claude / Cursor
Top 20 California banks ranked by total assets, showing CERT number, holding company, deposits, and number of offices in a sortable table
State-ranking view — top California banks by total assets with CERT, holding company, and branch count.

Try these examples

Each example opens the app pre-loaded with this query.

Top Texas banks

Lands in the state-ranking view immediately.

Recent bank failures

Shows the failures dataset with all the columns analysts ask for.

Trace a merger

Shows the deep history dataset that's hard to surface elsewhere.

A closer look

Recent FDIC bank failures since 2023 with failure date, total assets, the acquiring institution, and estimated loss to the Deposit Insurance Fund
Failures dataset — every FDIC bank failure since 2023 with assets, acquirer, and DIF loss.
FDIC Bank Data app empty state with a search input and prompt suggestions for top California banks, recent failures, and merger history
Open the app, type a question, and get a ranked list of FDIC-insured institutions in seconds.

Other ways to use FDIC Bank Data

Same data, different audiences.

Dataset

FDIC-Insured Banks — live data product, refresh cadence + sources documented.

Open dataset page
Chat & MCP

Use the same data from Claude, Cursor or ChatGPT. AI agents can call every tool the app uses.

Setup guide
REST API

Call every tool from your own backend. OpenAPI spec + cURL examples.

View API docs

About this app

Search and analyze FDIC-insured bank institutions. 27,000+ banks with financials, branches, failures, history, and industry-level analytics.