entity-resolve

Fuzzy entity resolution and dedupe for names, addresses, and company records — the "is this the same person/company" problem that breaks exact-match joins.

От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетБез входаГлобальныйБесплатноТолько чтение

Что умеет

  • Resolve: Fuzzy-dedupe a list of records into clusters of likely-duplicate entities. Blocks by normalized token prefix, scores with Jaro-Winkler + token-set matching (exact on email/phone), unions matc

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

Fuzzy entity resolution and dedupe for names, addresses, and company records — the "is this the same person/company" problem that breaks exact-match joins. Clean CRM exports, merge duplicate customer records, reconcile vendor lists, dedupe scraped datasets. Deterministic (Jaro-Winkler + token-set matching), no LLM calls. Pay-per-call via x402 (USDC on Base): $0.008/call, no account or API key needed. tools/list and /openapi.json are free for discovery.

Список инструментов сервера (1)

Технические названия из tools/list. Нужны только разработчикам.

resolveFuzzy-dedupe a list of records into clusters of likely-duplicate entities. Blocks by normalized token prefix, scores with Jaro-Winkler + token-set matching (exact on email/phone), unions matches above threshold, and returns a merged canonical record per cluster with a confidence score. Deterministic, no LLM calls.
entity-resolve: подключить к Claude, ChatGPT, Cursor · Connectors.fun