Data platform to counter human trafficking
24+
Websites monitored daily
Adult service platforms across North America, Europe, and Latin America, scraped on staggered schedules.
Millions
Ads processed and analyzed
Phone numbers extracted and normalized, content deduplicated, cross-site networks mapped.
20+
Countries covered
Data spanning the United States, United Kingdom, Canada, Colombia, Mexico, Ireland, South Africa, and more.
Chain Breaker analyzes ads across platforms to detect communities, map connection networks, and flag suspicious activity — equipping investigators and NGOs with intelligence they can act on.
Trusted by
“Chain Breaker's cross-platform phone mapping gives our intelligence team insights we could not get from any other data source. It has changed how we identify and disrupt trafficking networks.”
Intelligence Analyst, Stop the Traffik
Every day, Chain Breaker scrapes thousands of advertisements from adult service websites across North America, Europe, and Latin America. Phone numbers are extracted, normalized to international format, and cross-referenced, building a graph that reveals which numbers appear together across different sites, regions, and time periods.
Daily collection
Automated crawlers and scrapers monitor public advertisements on staggered schedules, ensuring fresh data across 24+ websites without gaps.
Phone network mapping
Numbers are normalized to E.164 format and linked across sites to build co-occurrence graphs — revealing connections between ads that share the same phone numbers.
Risk-scored leads
Network analysis algorithms flag high-priority phone numbers based on connection density, geographic spread, temporal patterns, and community growth over time.
What makes us different: Most anti-trafficking tools monitor a single website or require manual searching. Chain Breaker maps the network. A phone number appearing on five different sites across three countries tells a story that isolated data points never could.
Automated crawlers and scrapers monitor 24+ adult service websites across multiple countries on staggered daily schedules. Phone numbers, locations, descriptions, and images are extracted and normalized into a unified data lakehouse.
Phone numbers are cross-referenced across sites to build co-occurrence networks. Machine learning embeddings identify duplicate and related advertisements. Risk scoring algorithms flag high-priority leads based on network density, temporal patterns, and geographic spread.
Investigators search phone numbers, explore co-occurrence networks, build cases, and export court-ready evidence reports. Partner organizations receive regular data exports. Every finding traces back to source data.
Drop image or paste URL
May 11
Drag the slider to see the network evolve over time. Nodes grow, new phones and emails appear, locations join, and text clusters emerge as the investigation deepens.
Four investigation paths from a single platform. Phone numbers reveal networks, face similarity spots reused images across identities, text embeddings find near-identical ads across languages, and the network graph maps how phones, emails, faces, ads, text clusters, and locations interconnect — then watch it evolve day by day. Every result traces back to source data and is exportable as court-ready evidence.
12k+
Investigations supported
Law enforcement agencies and NGOs have used Chain Breaker data to advance investigations across North America, Europe, and Latin America.
50+
Partner organizations
A growing network of NGOs, law enforcement agencies, and compliance teams rely on Chain Breaker for trafficking intelligence.
10M+
Ads analyzed
Over ten million advertisements processed, with phone numbers extracted, normalized, and cross-referenced to map trafficking networks at scale.
Open research data
Chain Breaker publishes anonymized advertisement listings on Harvard Dataverse for academic research. The dataset spans 24+ adult service websites across 20 countries, with phone numbers extracted and cross-referenced, communities detected, and risk scores computed.
All direct identifiers are removed before publication: phone numbers, emails, ad URLs, text content, and images are stripped. Quasi-identifiers (age, height, weight, city) are generalized into bands. Dates are truncated to month granularity. Rows with rare quasi-identifier combinations are suppressed to guarantee k-anonymity.
Law enforcement agencies and NGOs use Chain Breaker to search phone numbers, explore co-occurrence networks, and build investigation cases. Every finding traces back to source data, supporting evidentiary requirements.
Companies with anti-money laundering obligations use Chain Breaker's risk analysis data to proactively identify potential exposure to human trafficking activity, strengthen due diligence, and enhance overall risk management.
Chain Breaker collaborates with NGOs, law enforcement agencies, and companies. If your organization fights human trafficking or has compliance obligations related to it, we want to hear from you.