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URL: https://apify.com/andrew_avina/ftc-cases-mcp

โ‡ฑ FTC Enforcement Cases Intelligence MCP ยท Apify


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FTC Enforcement Cases Intelligence MCP

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$3.00 / 1,000 result item returneds

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FTC Enforcement Cases Intelligence MCP

Label: FTC | Sublabel: ENFORCEMENT

Pricing

$3.00 / 1,000 result item returneds

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Developer

๐Ÿ‘ Andrew Avina

Andrew Avina

Maintained by Community

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11 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

FieldDescription
case_nameName of the FTC case or action
respondentCompany or individual subject to the action
yearYear of filing or settlement
violation_typeCategory of violation (Privacy, Antitrust, COPPA, etc.)
penalty_amountMonetary penalty or injunction description
statusCurrent status (Settled, Ongoing, Dismissed, etc.)
source"FTC" or "FTC Consumer Sentinel"

Input Parameters

ParameterTypeDefaultDescription
keywordstring(blank)Search term (company name, product, topic)
yearinteger(blank)Filter to cases from this year onward
violationTypestring(blank)Filter by violation category
limitinteger50Max records to return (1โ€“500)
serveMcpbooleanfalseStart 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 / โ€” Health check with actor identity (label: "FTC")
  • GET /mcp/tools โ€” List available MCP tools
  • POST / โ€” 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:

CaseRespondentPenalty
In re Facebook, Inc.Meta (Facebook)$5,000,000,000
In re Google / YouTube (COPPA)Google LLC$170,000,000
In re Zoom Video CommunicationsZoom$85,000,000
FTC v. Epic GamesEpic 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 HoldingsGoodRx$1,500,000
FTC v. BetterHelpBetterHelp$7,800,000
FTC v. Vonage HoldingsVonage$100,000,000
FTC v. Amazon.comAmazonTBD (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

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