Greip

Greip — IBAN- and payment-instrument-level risk intelligence delivered as an API. Each IBAN is scored beyond format validation across issuing country, issuing bank and behavioural risk signals to produce an onboarding risk verdict; a companion transaction-scoring API scores each payment in flight for mule patterns such as rapid multi-source inflows and fan-in/fan-out shaping. The asset behind the scores is a continuously-maintained risk profile per issuing institution and per country corridor, plus the accumulated labelled decisions: which banks and IBAN ranges produce mule accounts, which on…

Greip offers (Alternative, Reference) — Large where it matters and enumerable: the reference layer spans the SEPA and international IBAN namespace — every issuing country and bank, so millions of distinguishable IBAN prefixes — each carrying a maintained risk profile. The transaction layer scores per payment and grows with client throughput. Request further research for the count of distinct scored issuing institutions and cumulative scored transactions.

Training account-opening and application-fraud models that use issuer-level rather than applicant-level signal, money-mule detection benchmarking, cross-border corridor risk scoring for payment routing, synthetic-identity detection at onboarding, calibration of automated block-versus-review decisions in payment fraud stacks, and supplying the issuer-risk prior that neobank and payments risk engines currently lack

The data is with 3 years of history.

Coverage spans UK, US; Financial Exchanges & Data; alternative, reference; equities, fx.