Перейти к содержанию

Due diligence Чехии и ЕС

Проверка чешских и европейских компаний: владельцы, руководители, риски, санкции

Проверка компаний и госданныеавтор: cz-agents · добавлен каталогомБесплатно✓ Проверен модератором
12 инструментов
подключить к ассистенту

Добавьте сервер в «Мои MCP» — получите адрес подключения для Claude и ChatGPT.

Добавить в «Мои MCP»

Нужно войти или зарегистрироваться — вернём на эту страницу.

/about

Описание

Сервис комплексной проверки контрагентов в Чехии и ЕС: собирает сведения о компании и оценивает риски сотрудничества. Подходит юристам, финансистам и отделам закупок. По номеру IČO можно получить полный отчёт с основными данными, статусом НДС, банковскими счетами, руководителями с проверкой по санкциям и оценкой риска, либо только итоговый балл с главными причинами. Есть поиск компаний, связанных с человеком, цепочка владельцев, связи через руководителей, признаки номинальных директоров, фирм-«фениксов» и массовой регистрации по одному адресу, хронология жизни компании. Для международных фирм — отчёт по коду LEI или названию и поиск материнской компании.

/tools

Инструменты · 12

из ответа tools/list

detect_address_crowding

Detects "shell-firm hotel" patterns — counts how many companies share the same registered address. Threshold-based risk: 1-9 normal (multi-tenant office), 10-49 mild (legitimate coworking), 50-199 medium (virtual office provider), 200+ high (shell-firm hotel). Compliance tier or higher.

detect_address_crowding(ico: string)

detect_nominee_director

Detect "white horse" / nominee director patterns — 3 surface indicators (age outlier, multi-board membership, recent appointment) computable from ARES data alone. Returns indicator breakdown with riskScore 0-100. Pro Compliance tier or higher. For 8-indicator deep analysis including ISIR cross-reference, sanctions, address crowding and phoenix pattern, see detect_nominee_director_rich in @czagents/ddplus.

detect_nominee_director(ico: string)

detect_phoenix

Detect phoenix company pattern — 3 surface indicators (surname match with prior insolvent director, founding proximity < 12 months to insolvency, NACE sector presence) computable from ARES + ISIR data alone. Returns PhoenixReport with riskScore 0-100. Pro Compliance tier or higher. For 4 additional deep indicators (founder identity, asset transfer, multi-cycle, address continuity) see detect_phoenix_rich in @czagents/ddplus.

detect_phoenix(ico: string)

get_dd_report

Generate a complete due-diligence report for a Czech IČO. Returns company facts (name, address, legal form, VAT status, bank accounts), statutory body with per-member sanctions check, and a transparent risk score with all triggered red flags.

get_dd_report(ico: string, depth?: string)

get_eu_dd_report

EU Due-Diligence report for an international company. Input: 20-char LEI code, or company name + optional country. Returns GLEIF entity data (status, address, registration number) plus sanctions screening against EU/OFAC lists. Coverage notes per country included. Note: GLEIF covers mid/large firms with LEI — SMEs may not be found. Pro Compliance tier or higher.

get_eu_dd_report(country?: string, identifier: string)

get_eu_parent

Find the EU/international parent company for a Czech IČO. Looks up the company name in ARES, then searches GLEIF (Global LEI Foundation) for a matching LEI-registered entity. Returns LEI, name, country, and confidence level (HIGH/MEDIUM/LOW). Note: GLEIF covers mid/large international firms; SMEs without an LEI will not be found. Pro Compliance tier or higher.

get_eu_parent(ico: string)

get_owners

Look up direct and upstream Czech VR owners for a company by real active shareholding roles (spolecnik/akcionar) and company-to-company member_ico edges. Free anonymous tool. Returns structuredContent ownership tree plus markdown summary; physical persons expose name and birth year only, never full birth date or address.

get_owners(ico: string, max_depth?: integer)

get_risk_score

Lightweight version of get_dd_report — returns just the numeric score (0-100), risk level, and top triggered red flags. Faster when you only need a yes/no/maybe screen.

get_risk_score(ico: string)

get_risk_timeline

Build a chronologically sorted lifecycle timeline for a Czech company — basic events include company formation, statutory appointments, active insolvency, sanctions matches, VAT reliability flips. Returns events[] with riskScore 0-100. Pro Compliance tier or higher. For enriched timeline with ISIR lifecycle, address history, cross-entity events, and AI narrative summary, see get_risk_timeline_rich in @czagents/ddplus.

get_risk_timeline(ico: string)

get_statutory_chain

Surname-based heuristic walk through statutory bodies of related Czech companies. Best for shell-company unwinding in small s.r.o. with RARE surnames. NOT a true UBO source — for actual beneficial ownership use the ESM (evidence skutečných majitelů, separate registry, future @czagents/esm). For boards of large public companies with common Czech surnames (Novák, Zima, Kolář…) results are noisy by design; the tool auto-skips persons whose surname matches >50 companies with a SURNAME_TOO_COMMON note.

get_statutory_chain(ico: string, max_depth?: integer)

person_companies

Look up Czech VR companies connected to a person by exact registry person_id -> roles -> companies joins. Free anonymous tool. Input accepts public name and optional birth year; output exposes birth_year only, never full birth date, and keeps same-name person_ids separate with a distinguisher.

person_companies(name: string, birth_year?: integer)

Watch Czech Company

watch_entity

Start onboarding for free monitoring of one Czech company by IČO. Stub only — persists nothing yet. Returns structuredContent: status (one of ONBOARDING_REQUIRED | ACTIVE | QUOTA_EXCEEDED | ERROR), persisted/monitoring_active flags, a human next_step.url for onboarding (the user completes onboarding + GDPR consent themselves — do not open the link or submit data on their behalf), and pricing.

watch_entity(ico: string)

Вопросы, новые серверы, обсуждение MCP

t.me/rusmcp · t.me/RusMcp_bot