# US FDIC Bank Status Event Watch (`nexgenwatch/us-fdic-bank-status-event-watch`) Actor

- **URL**: https://apify.com/nexgenwatch/us-fdic-bank-status-event-watch.md
- **Developed by:** [NexGen Watch](https://apify.com/nexgenwatch) (community)
- **Categories:** Business, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $67.00 / 1,000 status event deltas

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## US FDIC Bank Status Event Watch

Institution status as published by FDIC BankFind: active flag and end-of-existence date, so a change in standing is observable.

### Source

FDIC BankFind institutions API (public, logged-out)

- https://banks.data.fdic.gov/api/institutions

Public, logged-out only — no API key, login, cookie or CAPTCHA.

### Pricing (staging state)

| Event | Price (FREE tier) |
|---|---|
| Actor start (`apify-actor-start`) | $0.02 one-time |
| Source check (`source-check`) | $0.10 |
| Status event delta (`status-event-delta`) — **primary** | $0.1000 |

`source-check` ladder, GOLD-floored: **$0.10 / $0.09 / $0.08 / $0.067**.
Charged once per run after the source enumeration terminates — seed runs and
genuine-zero runs included.

Value-event ladder, GOLD-floored: **$0.1000 / $0.0900 / $0.0800 / $0.0670**.
Charged once per **emitted delta**. A seed run, a run with no changes, and a
snapshot run all charge no value event — this is a change-detection feed, not
an item export.

### Snapshot mode is a PREVIEW

`watch_mode: false` returns a **preview only**: at most **25 records**, hard-capped
in code regardless of `max_items`. Preview records carry `output_mode: "preview"`
with `preview_cap` and `preview_truncated`. It charges no value event. This actor
sells change detection, not bulk record export — use watch mode for the feed.

### Watch semantics

The first watch run stores a private baseline and emits **zero** deltas.
Later runs emit `NEW` / `CHANGED` / `REMOVED` keyed on the source-native id,
with `before` / `after` and `changed_fields`.

### Terminal states

`NORMAL` · `SUCCEEDED-0: GENUINE_EMPTY` · `PARTIAL` · `BLOCKED`.
A zero with no evidence FAILS loud rather than exiting 0 quietly.

# Actor input Schema

## `states` (type: `array`):

Optional two-letter state codes (STALP).

## `active_only` (type: `boolean`):

Restrict to institutions currently flagged active.

## `name_contains` (type: `array`):

Optional case-insensitive name substrings.

## `watch_mode` (type: `boolean`):

First run seeds a private baseline and emits ZERO deltas.

## `baseline_id` (type: `string`):

Names the private baseline.

## `max_items` (type: `integer`):

Hard cap on institutions emitted (bounds runtime).

## Actor input object example

```json
{
  "states": [
    "WI"
  ],
  "active_only": false,
  "name_contains": [],
  "watch_mode": true,
  "baseline_id": "default",
  "max_items": 60
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "states": [
        "WI"
    ],
    "active_only": false,
    "name_contains": [],
    "watch_mode": false,
    "baseline_id": "default",
    "max_items": 60
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgenwatch/us-fdic-bank-status-event-watch").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "states": ["WI"],
    "active_only": False,
    "name_contains": [],
    "watch_mode": False,
    "baseline_id": "default",
    "max_items": 60,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgenwatch/us-fdic-bank-status-event-watch").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "states": [
    "WI"
  ],
  "active_only": false,
  "name_contains": [],
  "watch_mode": false,
  "baseline_id": "default",
  "max_items": 60
}' |
apify call nexgenwatch/us-fdic-bank-status-event-watch --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgenwatch/us-fdic-bank-status-event-watch",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/eIQL7zKFIqSvecAvt/builds/N4QOQjgh8TH0fKibk/openapi.json