Wanted List Screening: FBI, Interpol & Europol

Screen individuals against public criminal wanted lists from three major law-enforcement agencies — FBI, Interpol, and Europol — in a single run. Designed for KYC workflows, compliance screening, OSINT investigations, and journalism.

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 comes back complete, clearing the bot protection on fbi.gov automatically.
• Interpol notices come from its public data, and are handled the same way.
• 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.