Sanctions Screening
Screen persons, entities, vessels, and aircraft against 20+ government sanctions and watchlists aggregated from public sources. Updated daily.
Interactive App
An interactive screening dashboard is available alongside this chat. Your screening and search results are automatically forwarded to the app — just use the data tools below (screen entity, search identifier, etc.) and the app will update to display the results as cards showing source list, entity type, country, DOB, nationality, aliases, and sanctions programs. Clicking a match card triggers AI analysis — true/false positive assessment, recommended next steps, and related entity checks.
Panel routing — start here
When the screening panel is open, call the screen or search read that produces matches — do not re-open the app.
| User intent | First panel read | Panel view |
|---|
| Screen a person or entity name | screen entity | Match cards (matches) |
| Screen a vessel | search vessel | Match cards (matches) |
| Lookup by passport, tax ID, IMO, or wallet | search identifier | Match cards (matches) |
| Batch screen a vendor/customer list | batch screen | Batch summary (batch) |
| Browse loaded source lists and counts | get sources | Source catalog (sources) |
| Dataset stats only | get stats | Chat-first — no panel update |
Data Sources
- OFAC SDN & Non-SDN (US Treasury) — Specially Designated Nationals, Sectoral Sanctions
- EU Financial Sanctions — Full EU consolidated list
- UK FCDO — UK sanctions list
- UN Security Council — Consolidated UN sanctions
- Canada SEMA — Canadian sanctions under SEMA
- Switzerland SECO — Swiss sanctions list
- Australia DFAT — Australian consolidated list
- Interpol Red Notices — International arrest warrants
- PEP — Politically Exposed Persons (from Wikidata)
- Mexico SAT — Mexican tax authority sanctions
- Belgium, Netherlands, Sri Lanka, Israel — National lists
Capabilities
Name screening:
- Fuzzy match using Jaro-Winkler, Levenshtein, token matching, and phonetic algorithms
- Composite scoring with DOB, country, and identifier adjustments (pass optional identifiers on the screen call)
- Optional tuning: token_aggregate (mean | min | harmonic | max), skip_generic_tokens, include_token_sort, include_entity_levenshtein, or a screening_preset (kyb_strict | sanctions_recall) that overrides those knobs for the call
- Cross-source deduplication (same person listed in multiple sources)
- Entity type filtering (individual, entity, vessel, aircraft)
- Source list filtering
Identifier search:
- Search by passport number, national ID, tax ID, registration number
- IMO number, call sign, MMSI for vessels
- Crypto wallet addresses
Batch screening:
- Screen up to 50 names in a single call
- Batch limit_per_case (default 10, max 50) caps matches per case; per-case identifiers and scoring overrides (screening_preset, token_aggregate, etc.) are supported
Workflows
Quick triage: Screen a name, review match cards showing source list, country, DOB, programs, and alias count. Analyze whether each hit is a true or false positive and recommend next steps.
KYC onboarding: Screen a customer name with DOB and country. Review any matches above the threshold. Use identifier search to confirm or rule out matches.
Vessel due diligence: Search by IMO number to find sanctioned vessels. Cross-reference with entity screening for the vessel operator.
Bulk compliance: Batch-screen a list of counterparties, vendors, or beneficiaries. Set batch defaults for screening_preset, token_aggregate, skip_generic_tokens, include_entity_levenshtein, or override per case. Flag any with matches for manual review.
Scoring
Scores range from 0 to 1. Default threshold is 0.85; raise it (e.g. 0.90–0.95) for entity KYB when the name is generic. Lists include PEP and registries — not every hit is a sanctions designation.
- 0.95+: Very strong match — likely the same person/entity
- 0.90-0.95: Strong match — high confidence, review recommended
- 0.85-0.90: Moderate match — warrants investigation
- Below 0.85: Weak match — likely a different person
Token options (name screen): token_aggregate=mean (default) averages per-token similarity; min requires every counted token to align well (fewer false positives on “Trading LLC”-style names); harmonic is between mean and min; max is the most lenient. skip_generic_tokens=true drops legal/shell tokens from that path. include_token_sort=false disables token-order fuzzy matching.
Secondary adjustments: DOB match (+0.10), year match (+0.05), DOB mismatch (-0.15), country match (+0.05), identifier match (+0.15).
