The Match Businesses endpoint is the first step in the data enrichment process. It enables users to accurately identify businesses based on their name or domain, returning a unique Business ID that acts as the foundation for all subsequent API interactions.This endpoint is designed to provide high-accuracy business matching by leveraging multiple data sources, validation layers, and proprietary algorithms to ensure precise identification.Once a business is successfully matched, its Business ID becomes the primary key for retrieving enriched company data, accessing financial insights, monitoring real-time business events, and performing additional analytics through other Explorium APIs.
v2: this endpoint accepts either a single ID (a string) or a list of up to 50 IDs — the separate /bulk_enrich route is gone. See v2 conventions.
Coverage
Attribute
Coverage Details
Total Businesses
80M+ businesses across 150+ countries
Matching Accuracy
Advanced entity resolution for precise business identification
Real-Time Updates
Ensures the latest business records are used for matching
Input: A list of business identifiers, which can include name, website (domain), and linkedin_company_url. Processing: The system cross-references multiple internal datasets to determine the best possible match. Output: A structured response containing the matched Business IDs, preserving the exact order of the input list.
When using the Business Match endpoint, the system applies a multi-step resolution strategy based on the fields you provide — primarily name and website.
We begin by attempting to match the business using both the company name and website domain.
The company name is evaluated using a smart fuzzy matching algorithm designed to handle:
Common variations and abbreviations
Typos and noisy CRM inputs
Token normalization, semantic similarity, and industry-aware string processing
The website (domain) serves as a strong anchoring signal to disambiguate between similarly named companies and to boost confidence.
This phase ensures high-precision matching while remaining robust to imperfect input data.
If the system fails to find a confident match using both name and domain, it automatically falls back to matching by website alone.
Because domains are typically unique and consistent across organizations, this fallback ensures matches can still be returned when the company name is incomplete, inconsistent, or incorrect.
Rate limits are counted per query, not per request. Each business in the businesses_to_match array counts as a separate query toward your rate limit. A single request that matches 50 businesses consumes 50 queries from your 200-queries-per-minute limit — not 1. Batching reduces HTTP/network overhead, but it does not reduce the number of queries counted against your rate limit. Size your batches accordingly.
A list of all businesses. If they not matched business_id will None.
BusinessMatchOutputWithErrors
BusinessMatchOutput
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