Pricing

Pay per event

Wanted List Screening: FBI, Interpol & Europol

Criminal wanted-list screening: FBI (all categories), Interpol Red Notices, Europol. Bulk ingest, fuzzy name-match with score, or new-listings diff. Active/captured status, reward amounts, charges, physical descriptions, photo URLs. For KYC, investigations, OSINT, journalism, bounty hunting.

Pricing

Pay per event

Rating

0.0

(0)

Developer

BowTiedRaccoon

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

What it does

The actor pulls public wanted-notice data from:

Interpol — Red Notices via the public REST API (ws-public.interpol.int)
Europol — EU Most Wanted listings via eumostwanted.eu
FBI — Most Wanted, Cyber, Counterterrorism, and other categories via fbi.gov/wanted/api/

It operates in three modes:

Mode	Description
`ingest_lists`	Bulk-load all active notices from the selected agencies into the dataset
`screen_queries`	Fuzzy name-match a list of names against all notices; returns hits with match scores
`new_listings_diff`	Compare the current notice set against the previous run's snapshot; output only newly published entries

Output fields

Each record includes:

Field	Description
`notice_id`	Canonical cross-agency ID (`agency:source_id`)
`source_agency`	`fbi`, `interpol`, or `europol`
`source_notice_id`	Agency-native notice ID
`source_url`	Direct URL to the notice on the source site
`notice_type`	Notice type: `most_wanted`, `red`, `cyber`, `counterterrorism`, etc.
`primary_name`	Full name of the wanted individual
`alias_names`	Known aliases (pipe-separated)
`date_of_birth`	Date of birth (YYYY-MM-DD where available)
`nationalities`	Nationalities (pipe-separated ISO codes or country names)
`photographs`	Photo URLs (pipe-separated)
`charges`	Criminal charges (pipe-separated)
`case_summary`	Brief description of the case
`reward_amount_usd`	Reward offered in USD (numeric)
`last_known_location`	Last known location or jurisdiction
`status`	`active`, `captured`, `deceased`, `located`, or `removed`
`publication_date`	Date the notice was first published
`query_term`	Query used (screen_queries mode only)
`match_score`	Fuzzy match score 0-100 (screen_queries mode only)
`match_reason`	Human-readable match explanation (screen_queries mode only)

See the full dataset schema for all 35 fields.

Input

{
  "mode": "ingest_lists",
  "agencies": ["interpol", "europol", "fbi"],
  "noticeTypes": ["red", "most_wanted"],
  "maxItems": 100,
  "includeRemoved": false,
  "sp_intended_usage": "KYC compliance screening",
  "sp_improvement_suggestions": "none"
}

Key parameters

Parameter	Type	Default	Description
`mode`	string	`ingest_lists`	Operating mode (see table above)
`agencies`	array	all	Agencies to include: `fbi`, `interpol`, `europol`
`noticeTypes`	array	all	Notice types to filter (e.g. `red`, `most_wanted`, `cyber`)
`maxItems`	integer	10	Maximum records to return. `0` = no limit
`includeRemoved`	boolean	false	Include captured or removed entries
`minRewardUsd`	integer	0	Filter to listings with reward >= this amount
`queries`	array	—	Names to fuzzy-match (screen_queries mode only)
`minMatchScore`	integer	75	Minimum fuzzy match score 0-100 (screen_queries mode only)

Use cases

KYC / AML screening — check customer names against international wanted lists before onboarding
Compliance monitoring — run new_listings_diff on a schedule to detect newly posted notices
OSINT investigations — bulk-load public wanted data for research, linking, and analysis
Journalism — pull structured data for story research without manual browsing
Bounty tracking — filter by minRewardUsd to surface high-value notices

Notes

FBI data is fetched via Playwright with residential proxy to bypass Cloudflare protection on fbi.gov.
Interpol uses the public REST API with browser-like headers; residential proxy is used in cloud runs.
Europol scrapes structured HTML from the EU Most Wanted site.
All three sources serve publicly available, government-published data. No authentication or API key is required.
Array values (aliases, nationalities, photographs, charges) are stored as pipe-separated strings.

Beneficial Ownership — Trace Hidden Structures

ryanclinton/beneficial-ownership-investigation

Investigate the true beneficial ownership structure of any corporate entity using six advanced algorithms across 15+ international data sources.

Ryan Clinton

Law Enforcement Intelligence MCP Server

ryanclinton/law-enforcement-intelligence-mcp

Comprehensive threat intelligence and law enforcement screening powered by 7 specialized Apify actors. This MCP server builds threat network graphs with fuzzy name matching across Interpol Red Notices, FBI Most Wanted, OFAC sanctions, and OpenSanctions databases.

Ryan Clinton

OpenSanctions Sanctions & PEP Entities Scraper

parseforge/opensanctions-entities-scraper

Scrape OpenSanctions: 280k+ sanctioned people, companies, vessels and PEPs across 250+ global watchlists. Filter by topic, country, entity type or dataset. Returns names, aliases, identifiers, addresses, sectors, programmes — for AML, KYC and due diligence.

ParseForge

Company Due Diligence Report — KYB Risk Score Across 18 Sources

ryanclinton/company-due-diligence-report

Comprehensive KYB (Know Your Business) due diligence report that screens any company across 12+ data sources simultaneously, including global corporate registries, OFAC and OpenSanctions watchlists, SEC filings, insider trading records, CFPB consumer complaints, WHOIS data, and tech stack analysis.

Ryan Clinton

Counterparty Due Diligence MCP Server

ryanclinton/counterparty-due-diligence-mcp

Corporate KYB and counterparty risk intelligence for AI agents via the Model Context Protocol.

Ryan Clinton

AML Entity Screening — 13-Source Risk Scoring

ryanclinton/aml-entity-screening

Comprehensive Anti-Money Laundering and Counter-Terrorism Financing (AML/CFT) screening engine that runs 13 sub-actors in parallel to check any person or company against OFAC, OpenSanctions, Interpol, FBI, FARA foreign agent registrations, FEC campaign finance records, OpenCorporates, GLEIF LEI,...

Ryan Clinton

Financial Crime Screening MCP Server

ryanclinton/financial-crime-screening-mcp

AML/CFT composite screening intelligence via the Model Context Protocol. This MCP server orchestrates 13 data sources for sanctions checks, criminal watchlist scans, PEP influence analysis, corporate shell detection, financial institution verification, and proximity-to-crime scoring.

Ryan Clinton

FBI Most Wanted & Fugitive Search

ryanclinton/fbi-wanted-search

Search the FBI's official Most Wanted database programmatically.

Ryan Clinton

Interpol Red Notice & Wanted Persons Search

ryanclinton/interpol-red-notices

Search Interpol red notices and wanted persons database via API. Filter by name, nationality, age, sex, or free text. Returns full details: charges, arrest warrants, physical descriptions, photos, and nationalities. Ideal for compliance screening and investigations.

Ryan Clinton