FTC Enforcement Cases Intelligence MCP
Pricing
$3.00 / 1,000 result item returneds
Pricing
$3.00 / 1,000 result item returneds
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Developer
Andrew Avina
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Monthly active users
9 days ago
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Label: FTC | Sublabel: ENFORCEMENT
A government data intelligence actor that serves Federal Trade Commission (FTC) enforcement actions, consent orders, antitrust cases, and consumer protection actions. Runs as a one-shot Apify dataset actor or as a persistent HTTP MCP server for AI agent integration.
What This Actor Does
- Queries the FTC public data API (Consumer Sentinel / Socrata endpoint at
data.ftc.gov) - Retrieves enforcement actions with case names, respondents, violation types, and penalty amounts
- Supports keyword search, year filtering, and violation type filtering
- Falls back to a curated dataset of 20 real landmark FTC enforcement actions if the live API is unavailable
- Exposes an MCP tool (
query_ftc_cases) for AI agent integration
Output Fields
| Field | Description |
|---|---|
case_name | Name of the FTC case or action |
respondent | Company or individual subject to the action |
year | Year of filing or settlement |
violation_type | Category of violation (Privacy, Antitrust, COPPA, etc.) |
penalty_amount | Monetary penalty or injunction description |
status | Current status (Settled, Ongoing, Dismissed, etc.) |
source | "FTC" or "FTC Consumer Sentinel" |
Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
keyword | string | (blank) | Search term (company name, product, topic) |
year | integer | (blank) | Filter to cases from this year onward |
violationType | string | (blank) | Filter by violation category |
limit | integer | 50 | Max records to return (1–500) |
serveMcp | boolean | false | Start HTTP MCP server on port 4321 |
Usage Modes
Batch Mode (default)
Run with serveMcp: false. The actor queries the FTC public API, normalizes results, and pushes all records to an Apify dataset.
Example input:
{"keyword": "privacy","year": 2020,"limit": 50,"serveMcp": false}
MCP Server Mode
Set serveMcp: true. The actor starts an HTTP server on port 4321 and exposes:
GET /— Health check with actor identity (label: "FTC")GET /mcp/tools— List available MCP toolsPOST /— Execute a tool call ({"tool": "query_ftc_cases", "arguments": {...}})
Data Source
Federal Trade Commission Public Data
- Consumer Sentinel API:
https://data.ftc.gov/resource/alj5-hu3c.json(Socrata) - FTC Enforcement Actions:
https://www.ftc.gov/enforcement/cases-proceedings - Data is public domain; no API key required for basic access
Fallback Dataset
The curated fallback contains 20 real landmark FTC enforcement actions including:
| Case | Respondent | Penalty |
|---|---|---|
| In re Facebook, Inc. | Meta (Facebook) | $5,000,000,000 |
| In re Google / YouTube (COPPA) | Google LLC | $170,000,000 |
| In re Zoom Video Communications | Zoom | $85,000,000 |
| FTC v. Epic Games | Epic Games | $520,000,000 |
| In re Twitter, Inc. | Twitter / X Corp | $150,000,000 |
| FTC v. Equifax Inc. | Equifax | $575,000,000 |
| FTC v. GoodRx Holdings | GoodRx | $1,500,000 |
| FTC v. BetterHelp | BetterHelp | $7,800,000 |
| FTC v. Vonage Holdings | Vonage | $100,000,000 |
| FTC v. Amazon.com | Amazon | TBD (ongoing) |
| ...and 10 more |
Use Cases
- AI-powered regulatory intelligence and compliance monitoring
- Legal research on FTC precedent and penalty benchmarks
- Business risk assessment for M&A, privacy programs, and advertising
- Antitrust landscape analysis for technology sector deals
Categories
MCP_SERVERS | BUSINESS