Company Name Matching API - AI-Powered Data Matching Solutions

API Overview

This API provides a powerful mechanism for matching inconsistent company and organization name data within or across various data sources and datasets.

AI-Powered

Leveraging AI models, machine learning, specialized algorithms, and extensive knowledge bases for fast, accurate matching.

Flexible Algorithms

Choose from "wide", "narrow", "model-v3-narrow", or "model-v3-wide" (recommended in most cases) matching algorithms to suit your needs.

Global Capability

Algorithms "model-v3-wide" and "model-v3-narrow" handle global data with our deepest AI model for best results.

How It Works

Company and organization names generating the same similarity key are considered "similar".

Company Input	Similarity Key
B of A	`k2HDzRo6pObj5PkfW5sskHTHESF7AQ`
Bank of America	`k2HDzRo6pObj5PkfW5sskHTHESF7AQ`

Thompson Inc.	`lfu9lPojomFZXCDz9uatu1_z-6svBA1`
THOMPSON COMPANY	`lfu9lPojomFZXCDz9uatu1_z-6svBA1`
tompsen incorporated	`lfu9lPojomFZXCDz9uatu1_z-6svBA1`

GE	`O1PJ_fmAE14bHNOaPoc_GzaXFBHdFhuM6`
Gen. electric	`O1PJ_fmAE14bHNOaPoc_GzaXFBHdFhuM6`

Once generated, these similarity keys can be used for sorting, matching across datasets, or as a fuzzy search mechanism.

API Details

Endpoint

https://api.interzoid.com/getcompanymatchadvanced

Request Format

https://api.interzoid.com/getcompanymatchadvanced?license=[apikey]&company=[companyname]&algorithm=[algorithm]

Sample Request

https://api.interzoid.com/getcompanymatchadvanced?license=your_api_key&company=ibm&algorithm=model-v3-wide

Sample Response

{"SimKey":"MpOcDqC1Xd67G6GsBJhmBh7RhDNsxa","Code":"Success","Credits":50004}

cURL Example

curl --header "x-api-key: your_api_key" "https://api.interzoid.com/getcompanymatchadvanced?company=ibm&algorithm=model-v3-wide"

Algorithm & AI Model Options

Choose the algorithm that best fits your matching requirements.

wide

Very fast algorithm with a wider umbrella of similarity. Better when you have other data that will also serve as part of match criteria.

narrow

Very fast algorithm, more stringent than wide. Better if you are matching on company or organization name only.

model-v3-wide

Our newest high matching accuracy with a wider similarity range, including applicability with international organization names. Recommended for most use cases.

Recommended

model-v3-narrow

Our newest high matching accuracy when matching solely on company or organization names without any of your own other match criteria, including applicability with international organization names. Provides the most precise matching.

Only one algorithm can be used as a parameter to the API at a time. Different algorithms will yield different matching results and similarity keys.

Additional Resources

Code Examples

See quick and easy code examples in nine different popular languages, including Python, Node.js, Java, TypeScript, Go, Rust, C#, R, and Scala.

View Examples

Try This API Interactively

Our API interactive usage tool enables you to try this API interactively with a user interface and without writing code.

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Cloud Batch Processing

Our No-Code batch tool enables you to quickly use this API within our parallel-processing Cloud platform.

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OpenAPI Specification

An OpenAPI Specification (OAS) is a standardized format for describing the structure and functionality of a RESTful API.

YAML JSON

Video Description

Watch a short video describing similarity keys and how they work.

Watch on YouTube

Service Bureau

Want us to do it for you? We can take your data and use our products on your behalf with a quick turnaround.

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Sample Matches

More examples showing how different company name variations are matched using similarity keys. Each colored cluster represents companies that match to the same similarity key.

Company Input	Similarity Key MATCHED GROUP
Microsoft Inc	`xUhcrilUNsRiCthe7rXkIupHiCbhhgyLrKNAcXruwoA`
microsot	`xUhcrilUNsRiCthe7rXkIupHiCbhhgyLrKNAcXruwoA`
MICROS0FT	`xUhcrilUNsRiCthe7rXkIupHiCbhhgyLrKNAcXruwoA`

IBM	`edplDLsBWcH9Sa7ZECaJx8KiEl5lvMWAa6ackCA4azs`
Intl businessmachines	`edplDLsBWcH9Sa7ZECaJx8KiEl5lvMWAa6ackCA4azs`

Amazon.com	`tyGzXZjfZUqhgqt6mqNZF8MCsn-QQV1NJbysxSTB7aI`
Amazon Incorp.	`tyGzXZjfZUqhgqt6mqNZF8MCsn-QQV1NJbysxSTB7aI`

Saudi Aramco	`yv8uxP9JjwCRWBNyUyFTds63QmZTT4qhFXfpv-wRbiM`
Saudi Arabian Oil Group	`yv8uxP9JjwCRWBNyUyFTds63QmZTT4qhFXfpv-wRbiM`
ARAMCO	`yv8uxP9JjwCRWBNyUyFTds63QmZTT4qhFXfpv-wRbiM`

The Ohio State University	`dKI2aritgyzM9y4HToDqOC6s9I7-SNwGG-2x9rzDyms`
OSU Buckeyes	`dKI2aritgyzM9y4HToDqOC6s9I7-SNwGG-2x9rzDyms`
OH STATE	`dKI2aritgyzM9y4HToDqOC6s9I7-SNwGG-2x9rzDyms`

Philip Morris	`96Zxr2RqrX13X0UQ3aBWCIvwu16lnxV228Ih02CN_R8`
Phillip Morris International	`96Zxr2RqrX13X0UQ3aBWCIvwu16lnxV228Ih02CN_R8`
The Phillip Morris Co	`96Zxr2RqrX13X0UQ3aBWCIvwu16lnxV228Ih02CN_R8`

Each colored group represents company names that generate identical similarity keys, meaning they are considered matches despite spelling variations, abbreviations, or formatting differences.