Real-time data for better risk decisions

Get an early signal of whether your counterparty is thriving or in trouble. Accurate identity and financial data on more than 30 million companies helps you manage risk dynamically.

negative lists

142

scoring accuracy

94.2%

default forecast

12 mo

refresh

~24 h

⌘ K

View:

scoring · Alfa Logistics LLP · BIN 123456…live

overall risk score

● medium risk

428/ 1000

0 · low5001000 · critical

AML / CFTclear

checked against 27 lists — no matches

Sanctions (OFAC / EU / UK)

including beneficiaries and affiliates

Financial stabilityattention

Q1 2026 turnover down 18%

Legal risks

4 active court cases

Tax discipline

no debt, filings on time

PEP & FATCA / CRSflag

founder is a relative of a public figure

negative lists · 142 sources

1 1 match

default forecast · 12 months

7.8%

trend · 90 days

▲ +1.8 pp

feb 26marapr 26

Trustworthy company data matters now more than ever

Score risk more accurately, predict problems, and meet regulators across three areas at once.

Predict the probability of default

Our customers have proven the ability to predict payment delinquency on horizons of up to 12 months.

Spot risks before they become threats

Check against dozens of negative lists — no need to look anywhere else.

Manage risk

Statsnet flags risk in AML/CFT, anti-corruption, sanctions, FATCA and CRS — helping you stay compliant.

comparison

Statsnet scoring vs traditional approaches

Most compliance solutions work on demand and rely on quarterly data. Statsnet works in real time.

	traditional providers	statsnet
Data freshness	quarter / month	~24 hours
Negative-list coverage	12–30 lists	142 lists
Default forecast	× none	✓ up to 12 months
FATCA / CRS / AML	separate subscription	included
API response time	2–8 seconds	120 ms
Score explainability	× black box	✓ factors and weights

review · banking compliance

“We moved daily monitoring of 18,000 counterparties from a manual process to the Statsnet API — reaction time on a sanctions flag dropped from 72 hours to 15 minutes.”

head of compliance · large tier-2 bank · almaty

methodology

How the risk score is calculated

Scores from 0 to 1000 are a weighted sum of 11 factors. Each factor is disclosed individually; weights are public.

Financial stability · 28%
Legal risks · 22%
Tax discipline · 18%
AML/CFT and sanctions · 16%
PEP and affiliations · 10%
Other signals · 6%

validation

94.2% accuracy on the holdout sample

The model is validated quarterly on an independent sample of 28,000 companies. AUC = 0.91 over a 12-month horizon.

Precision	0.89
Recall	0.84
F1-score	0.86
AUC	0.91

Trusted by

data sources · 3 jurisdictions

Full coverage of state and official sources

Scoring is built only from official registries, tax services, and court systems. Each source is integrated directly and updated on its own schedule.

Министерство юстиции

Единый реестр юридических лиц, регистрационные действия, изменения учредителей и руководства.

● dailyadilet.zan.kz

Генеральная прокуратура

Реестр недобросовестных участников госзакупок, реестр ОПГ, проверки и надзорные сведения.

● dailyqamqor.gov.kz

Бюро национальной статистики

Численность сотрудников, ОКЭД-классификация, региональная статистика и отраслевые показатели.

● monthlystat.gov.kz

Верховный суд

Судебный кабинет: гражданские, экономические и административные дела, исполнительное производство.

● ~6 hourssud.gov.kz

Комитет государственных доходов (КГД)

Налоговая задолженность, плательщики НДС, реестр налогоплательщиков, бездействующие и лжепредприятия.

● dailykgd.gov.kz

Комитет по финансовому мониторингу (КФМ)

Списки лиц и организаций, причастных к ПОД/ФТ, санкционные списки, сведения о подозрительных операциях.

● dailykfm.gov.kz

Министерство финансов

Реестр должников, бюджетные показатели, сведения об использовании средств республиканского бюджета.

● weeklyminfin.gov.kz

Депозитарий финансовой отчётности РК

Финансовая отчётность публичных и крупных компаний, формы 1+2, аудиторские заключения.

● quarterlydfo.kz

Электронная система госзакупок

Все тендеры, контракты, история участия и побед, реестр недобросовестных поставщиков.

● continuousgoszakup.gov.kz

АО «Самрук-Казына»

Закупки фонда национального благосостояния и его портфельных компаний, контрактная история.

● continuoussk.kz

АО «Центр электронных финансов»

Электронные счета-фактуры, обороты НДС, движения по виртуальному складу — основа для скоринга выручки.

● dailycef.kz

faq · risks

Frequently asked questions

About scoring, negative lists, AML/CFT, and integrating into your onboarding.

How is the risk score calculated and from which factors?

Scoring is built on 46 factors: financial discipline, tax history, court disputes, negative lists, affiliations, industry, company age. Every factor is disclosed with a source link.

Which negative lists are checked?

142 lists: AML/CFT, weapons-of-mass-destruction proliferation, UN, OFAC, EU and UK sanctions, debarred-supplier registries, FATCA, CRS, PEP and their close relations.

What's the API response time for onboarding?

P95 — 120 ms per request, P99 — 280 ms. SLA 99.9% with a geo-distributed infrastructure. Suitable for synchronous checks right inside a customer signup form.

How often are sanctions lists updated?

OFAC, EU, UN sanctions — daily. Local AML/CFT lists — as published, usually within an hour of the source update.

Is it suitable for bank compliance?

Yes. The service is used by 5 of the 10 largest banks in the region for KYC, AML and ongoing portfolio monitoring. On-premise deployment is available for strict regulatory needs.

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