tech.noahsarch/sanctions-screener · v0.1.1 · browser-automation
GCC Sanctions & Terror-List Screener is healthy: it completed an MCP handshake in 1417 ms and exposes 5 tools.
Screen names vs OFAC, UN, EU, UK and UAE terrorist lists with Arabic-aware matching.
Endpoint: https://screen.noahsarch.tech/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 5 |
| Latency | 1417 ms |
| Last checked (UTC) | 2026-11-01T01:35:28.030Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-11-01T01:35:28.030Z | Healthy | 1417 |
screen_name | Screen a person, company, vessel or aircraft name against OFAC SDN + Consolidated, UN, EU, UK and the UAE Local Terrorist List. Returns up to 20 hits sorted by score with list, listed_name, aliases_matched, score, match_strength (exact / strong / possible / weak), matched_on (which alias, which norm |
screen_batch | Each subject may carry dob, nationality, entity_type, id_number and your reference. Identical rows are screened once (charged once). Returns per-subject decision_hint, hit_count, top_score and the top 5 hits, plus summary counts (clear / review / likely_match). Charged per unique name. Example: subj |
audit_report | Screens 1–50 subjects and returns a self-contained HTML report (result.html): timestamp, each list with its version / fetched-at / SHA-256, the inputs, every hit with its explanation, and an explicit no-match statement for clear subjects — suitable for the client's AML file (open in a browser, print |
list_status | Per list: entries (individuals / entities / vessels / aircraft), aliases, fetched_at, days_since_fetch (stale flag when older than 7 days), official source URL and page, SHA-256 of the downloaded file, licence/terms, and any failures of the last refresh. Free. Call it before relying on a 'clear' res |
explain_match | Normalises both names step by step (Unicode, Arabic letter folding, honorifics/particles dropped, merged 'Abdul…' forms split, romanisation variants folded) and returns every score component (token_sort, token_set, Jaro-Winkler, subset, or the cross-script skeleton) and the resulting score / strengt |