# FOMC Statement Diff & Fed Rate Events (ECB/BoE) (`m8forever/central-bank-events-fomc`) Actor

Official Fed FOMC rate decisions, sentence-level statement diffs, SEP/dot-plot medians, plus ECB & BoE event metadata for AI agents and macro dashboards.

- **URL**: https://apify.com/m8forever/central-bank-events-fomc.md
- **Developed by:** [Hanxiao Yang](https://apify.com/m8forever) (community)
- **Categories:** News, Business, AI
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 central bank events

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## FOMC Statement Diff, Fed Rate Decisions & Central Bank Events

**Keywords:** FOMC statement diff, Federal Reserve rate decision, Fed funds target range, SEP dot plot, hawkish dovish tone, ECB BoE calendar, central bank API, macro data for AI agents.

Pull **structured central-bank events from official sources** — rate decisions, sentence-level FOMC statement diffs, SEP/dot-plot medians, speeches and calendars — ready for quant research, dashboards and AI tools.

### Why this Actor

- **Fed (full parse):** target range low/high, change in **bps**, sentence-level **added / removed / changed** diffs, SEP medians (GDP, unemployment, PCE, core PCE, **dot-plot fed funds**), speeches, minutes, FOMC calendar
- **ECB & BoE (metadata):** title, link, UTC time, event type; BoE Bank Rate parsed from headlines (no full-text redistribution)
- **Market session flags:** whether NYSE / LSE were in regular hours at release time
- Official sources only (Fed / ECB / BoE) — not scraped from aggregators

### Example input (try this)

```json
{
  "banks": ["FED"],
  "eventTypes": ["rate_decision", "sep", "minutes"],
  "maxItems": 15,
  "includeDiff": true,
  "includeText": true,
  "includeCalendar": true
}
```

### Input fields

| Field | Meaning | Default |
|---|---|---|
| `banks` | `FED`, `ECB`, `BOE` | all |
| `eventTypes` | `rate_decision`, `minutes`, `sep`, `speech`, `press_conference`, `mpr`, `other` | all |
| `dateFrom` / `dateTo` | `YYYY-MM-DD` (UTC) | – |
| `maxItems` | newest events first (calendar not counted) | 50 |
| `includeDiff` / `includeText` / `includeCalendar` | toggles | true |

### Sample output (truncated)

```json
{
  "bank": "FED",
  "eventType": "rate_decision",
  "timeUtc": "2026-09-16T18:00:00Z",
  "targetRangeLow": 3.75,
  "targetRangeHigh": 4.0,
  "rateChangeBps": 25,
  "diff": {
    "changed": [{
      "before": "...maintain the target range ... at 3-1/2 to 3-3/4 percent...",
      "after": "...raise the target range ... by 1/4 percentage point to 3-3/4 to 4 percent..."
    }]
  },
  "marketSession": { "nyseOpen": true, "lseOpen": false }
}
```

### Pricing (pay per event)

- **Actor start** — ~$0.00005
- **Central bank event** — $0.02 per returned event (primary)
- **Statement diff** — $0.08 when a FOMC statement diff is produced

Tip: set `maxItems` low (10–20) for cheap exploratory runs.

### Compliance

Official public pages / RSS only; identifying User-Agent; ≥1 s between requests. Fed content is U.S. government work. ECB/BoE rows are metadata + links only. Not affiliated with any central bank. **Not investment advice.**

### Limitations

- `tone` / `toneDelta` are transparent keyword heuristics — prefer `toneDelta`; do not trade on them alone
- Early closes are not modeled in market-session flags

### Use cases & scheduling

- **FOMC statement diff on meeting day** — schedule shortly after each FOMC announcement (2:00 pm ET) with `eventTypes: ["rate_decision"]` to get the added/removed/changed sentences.
- **Fed rate decision tracker** — target range low/high and change in bps as clean numbers for dashboards or backtests.
- **Central bank calendar** — `includeCalendar: true` returns upcoming Fed meetings; ECB/BoE rows give decision headlines and links.
- **Macro context for AI agents / LLM tools** — small, structured JSON instead of raw HTML pages.
- **Dot plot / SEP medians** — `eventTypes: ["sep"]` for quarterly projections.

Tip: create an [Apify Schedule](https://docs.apify.com/platform/schedules) for the Actor or one of the tasks below to turn it into a recurring monitor, and add a webhook/integration to get results in Slack, email or Google Sheets.

### Ready-made example tasks

One-click, pre-filled inputs you can run or copy:

- [fomc-rate-decision-tracker](https://apify.com/m8forever/central-bank-events-fomc/tasks/fomc-rate-decision-tracker)
- [fomc-statement-diff-latest](https://apify.com/m8forever/central-bank-events-fomc/tasks/fomc-statement-diff-latest)
- [ecb-boe-fed-central-bank-calendar](https://apify.com/m8forever/central-bank-events-fomc/tasks/ecb-boe-fed-central-bank-calendar)

### FAQ

**Where does the data come from?**\
Official federalreserve.gov, ecb.europa.eu and bankofengland.co.uk pages/RSS only.

**How do I keep costs low?**\
Set `maxItems` to 3–15 and disable `includeText` if you only need numbers and diffs.

**Is the hawkish/dovish tone reliable?**\
It is a transparent keyword heuristic. Use `toneDelta` as a hint, not a trading signal.

**Does it parse ECB/BoE statements in full?**\
No — ECB/BoE are metadata + links (BoE Bank Rate parsed from headlines).

# Actor input Schema

## `banks` (type: `array`):

FED = full text + parsing; ECB/BOE = metadata only (see COMPLIANCE.md).

## `eventTypes` (type: `array`):

Which event types to return.

## `dateFrom` (type: `string`):

Inclusive lower bound.

## `dateTo` (type: `string`):

Inclusive upper bound.

## `maxItems` (type: `integer`):

Maximum events returned (calendar item not counted).

## `includeDiff` (type: `boolean`):

Sentence-level diff vs previous FOMC statement (charged as 'diff').

## `includeText` (type: `boolean`):

Fetch and include full press release text.

## `includeCalendar` (type: `boolean`):

Append one item with FOMC meetings (2025+), SEP flags and upcoming status.

## Actor input object example

```json
{
  "banks": [
    "FED",
    "ECB",
    "BOE"
  ],
  "eventTypes": [
    "rate_decision",
    "minutes",
    "sep",
    "speech",
    "press_conference",
    "mpr",
    "other"
  ],
  "maxItems": 50,
  "includeDiff": true,
  "includeText": true,
  "includeCalendar": true
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("m8forever/central-bank-events-fomc").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("m8forever/central-bank-events-fomc").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{}' |
apify call m8forever/central-bank-events-fomc --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,m8forever/central-bank-events-fomc"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/WEjPj4HD17a70UD55/builds/u4vPmRkaYebQIoLqM/openapi.json