Docs/Skills/Sanctions Screening Skill

Sanctions Screening Skill

Screen a Name Against the OFAC Sanctions List

OperationalCredits 20 per callp50 454msFinance

Overview

Sanctions Screening works by matching your query against every name and alias on the OFAC SDN list using fuzzy name matching built for transliterated names. Sanctioned individuals are listed under many spellings, so exact comparison misses them. Each result carries a confidence score and the alias it matched on, letting you tune between catching more names and reviewing fewer false positives.

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as SanctionsScreeningSkill. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

Tool call
{
  "name": "SanctionsScreeningSkill",
  "arguments": {
    "name": "Banco Nacional de Cuba"
  }
}

You do not name the tool yourself; the model picks it. Asking about Banco Nacional de Cuba in the terms this skill covers is enough for it to reach for SanctionsScreeningSkill on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every skill in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervekit": {
      "url": "https://api.vervekit.com/v1/mcp"
    }
  }
}

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

ArgumentTypeDescription
nameRequiredstringThe person or company name to screen (minimum 3 characters)
thresholdOptionalPremiumnumberMinimum match score to return, between 0.5 and 1. Lower catches more names but returns more false positives
default 0.85
limitOptionalPremiumnumberMaximum number of matches to return (1-50)
default 10
typeOptionalPremiumstringRestrict screening to one entry type

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

Result
{
  "status": "ok",
  "error": null,
  "data": {
    "query": "Banco Nacional de Cuba",
    "matched": true,
    "matchCount": 1,
    "verdict": "exact",
    "topScore": 1,
    "results": [
      {
        "uid": 306,
        "name": "BANCO NACIONAL DE CUBA",
        "type": "entity",
        "score": 1,
        "confidence": "exact",
        "matchedOn": "BANCO NACIONAL DE CUBA",
        "matchedVia": "primary",
        "isWeakAlias": false,
        "programs": [
          "CUBA"
        ],
        "title": null,
        "aka": [
          {
            "name": "BNC",
            "type": "aka",
            "strength": "weak"
          },
          {
            "name": "NATIONAL BANK OF CUBA",
            "type": "aka",
            "strength": "strong"
          }
        ],
        "dateOfBirth": [],
        "placeOfBirth": [],
        "nationalities": [],
        "citizenships": [],
        "addresses": [
          {
            "address1": "Zweierstrasse 35",
            "city": "Zurich",
            "postalCode": "CH-8022",
            "country": "Switzerland"
          },
          {
            "address1": "Avenida de Concha Espina 8",
            "city": "Madrid",
            "postalCode": "E-28036",
            "country": "Spain"
          },
          {
            "address1": "Dai-Ichi Bldg. 6th Floor, 10-2 Nihombashi, 2-chome, Chuo-ku",
            "city": "Tokyo",
            "postalCode": "103",
            "country": "Japan"
          },
          {
            "address1": "Federico Boyd Avenue & 51 Street",
            "city": "Panama City",
            "country": "Panama"
          }
        ],
        "ids": [],
        "remarks": null
      }
    ],
    "list": {
      "source": "OFAC SDN",
      "authority": "US Department of the Treasury, Office of Foreign Assets Control",
      "publishDate": "07/15/2026",
      "recordCount": 19217,
      "lastUpdated": "2026-07-16T05:00:12.431Z"
    }
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

FieldTypeExampleDescription
querystringBanco Nacional de CubaThe name that was screened
matchedbooleantrueWhether any entry on the list matched the query
matchCountnumber1Number of matching entries returned
verdictstringexactHighest confidence across all matches: exact, high, possible, or none
topScorenumber1Match score of the strongest match, from 0 to 1
resultsarray[1]Matching SDN entries, strongest first
results.0.uidnumber306OFAC unique identifier for the entry
results.0.namestringBANCO NACIONAL DE CUBAPrimary name as published by OFAC
results.0.typestringentityEntry type: individual, entity, vessel, or aircraft
results.0.scorenumber1Match score for this entry, from 0 to 1
results.0.confidencestringexactPlain-language score band: exact, high, or possible
results.0.matchedOnPremiumstringBANCO NACIONAL DE CUBAThe normalized name or alias the query actually matched
results.0.matchedViaPremiumstringprimaryWhether the match came from the primary name or an alias type
results.0.isWeakAliasPremiumbooleanfalseTrue when matched on an alias OFAC flags as low confidence
results.0.programsarray["CUBA"]Sanctions programs the entry is listed under
results.0.titlePremiumobjectnullRole or title of the listed individual
results.0.akaPremiumarray[2]All known aliases with type and strength
results.0.aka.0.namePremiumstringBNC
results.0.aka.0.typePremiumstringaka
results.0.aka.0.strengthPremiumstringweak
results.0.dateOfBirthPremiumarray[]Published dates of birth
results.0.placeOfBirthPremiumarray[]Published places of birth
results.0.nationalitiesPremiumarray[]Published nationalities
results.0.citizenshipsPremiumarray[]Published citizenships
results.0.addressesPremiumarray[4]Published addresses
results.0.addresses.0.address1PremiumstringZweierstrasse 35
results.0.addresses.0.cityPremiumstringZurich
results.0.addresses.0.postalCodePremiumstringCH-8022
results.0.addresses.0.countryPremiumstringSwitzerland
results.0.idsPremiumarray[]Published identity documents and registration numbers
results.0.remarksPremiumobjectnullOFAC remarks for the entry
listobject{…}
list.sourcestringOFAC SDNName of the sanctions list screened
list.authoritystringUS Department of the Treasury, Office of Foreign Assets ControlPublishing authority for the list
list.publishDatestring07/15/2026Date OFAC published the list version screened against
list.recordCountnumber19217Number of entries on the list version screened against
list.lastUpdatedstring2026-07-16T05:00:12.431ZISO 8601 timestamp of the last successful list sync

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

StatusWhat it means
400 / 422The arguments did not validate. The message names the offending one.
401The OAuth session is invalid or expired — reconnect the server.
403Blocked by a key restriction or an IP allow-list. Never a bad identity.
404This skill is not part of VerveKit. Check the catalog.
429Out of credits, or a brief rate limit. The message tells them apart.

A call costs 20 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Other ways to use Sanctions Screening Skill

Set up Sanctions Screening Skill on VerveKit, or reach the same source a different way. Your VerveKit account and credits work on all of them — one key, one balance.

Call it as a REST APIOne HTTPS endpoint and an x-api-key header, with SDKs for Node, Python and .NET.APIVerveReference →
Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheetsReference →
Ground an agent on itA cited, machine-checkable fact your model can't produce on its own.VerveContextReference →

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