Company Name Match API - Identifying Inconsistent, Similar, and Duplicate Company and Organization Name Data

API Overview

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

AI-Powered

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

Flexible Algorithms

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

Global Capability

Algorithms "ai-medium-wide" and "ai-medium-narrow" handle international data with our deepest AI model for best results.

How It Works

Company Input	Similarity Key
B of A	`k2HDzRo6pObj5PkfW5sskHTHESF7AQ`
Bank of America	`k2HDzRo6pObj5PkfW5sskHTHESF7AQ`
Thompson Inc.	`lfu9lPojomFZXCDz9uatu1_z-6svBA1`
GE	`O1PJ_fmAE14bHNOaPoc_GzaXFBHdFhuM6`
Gen. electric	`O1PJ_fmAE14bHNOaPoc_GzaXFBHdFhuM6`
Kellogs	`Rf6RCPXSmrZOp8FKRSjQuRvfzO3ef`
THOMPSON COMPANY	`lfu9lPojomFZXCDz9uatu1_z-6svBA1`
tompsen incorporated	`lfu9lPojomFZXCDz9uatu1_z-6svBA1`

Company and organization names generating the same similarity key are considered "similar". Once generated, these similarity keys can be used in many ways. including sorting by similarity key in one dataset, using them as a basis for 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=[wide,narrow,ai-plus-narrow,ai-medium-wide...]

Sample Request

https://api.interzoid.com/getcompanymatchadvanced?license=fh5hs7*****&company=ibm&algorithm=ai-medium-wide

Sample Response

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

cURL Example (with API key in header)

curl --header "x-api-key: fh5hs7*****" "https://api.interzoid.com/getcompanymatchadvanced?company=ibm&algorithm=ai-medium-wide"

Algorithm & AI Model Options

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.

ai-plus-wide

Balances speed and precision with a wider similarity umbrella. Ideal for matching with additional data criteria.

ai-plus-narrow

Balances speed and precision with a more stringent matching criteria. Better for matching solely on company or organization names.

ai-medium-wide

High matching accuracy with a wider similarity range, especially for use with the availability of additional matching criteria. Recommended for most use cases, but may have longer response times.

Recommended

ai-medium-narrow

Best matching accuracy when matching solely on company or organization names without any other match criteria. Provides the most precise matching, but may have longer response times.

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. Matching can occur with values whose similarity keys have been generated with the same algorithm. Choose between narrow and wide variants based on your matching criteria and data availability.

Code Examples

Examples in Nine Programming Languages

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

See All Code Examples

Additional Resources

Try this API Interactively

Our API interactive usage tool enables you to try this API interactively with a user interface and without writing code. The tool is available for all of our APIs.

Try it Now

Full Dataset Matching

Use a Full Dataset API that uses this API to generate reports for matching company names within an entire CSV file, SQL database, and more:

curl "https://connect.interzoid.com/run?function=match&apikey=no-key-needed-for-demo-file&source=CSV&connection=https://dl.interzoid.com/csv/companies.csv&table=CSV&column=1&process=matchreport&category=company"

Learn More

Web Matching Wizard

No coding necessary - try our Cloud Data Connect Web matching wizard to see this API in action with entire datasets using an intuitive browser interface.

Launch Wizard

Optional OpenAPI Specification

An OpenAPI Specification (OAS) is a standardized format for describing the structure, endpoints, and functionality of a RESTful API in a machine-readable format.

It is a blueprint for developers and enables integration by defining request and response schemas, authentication methods, and available operations.

YAML JSON

Video Description

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

YouTube

Snowflake Integration

Try our Snowflake Native Application integration for seamless data quality management. Available on the Snowflake Marketplace, the capabilities of this API can be accessed with a simple Snowflake SQL statement, or as part of complex joins, ongoing data analysis, and ELT/ETL data pipeline processes.

The API is conveniently pre-integrated as a Native Application on the Snowflake Data Cloud and is Snowflake certified.

Explore Snowflake Integration

Excel Integration

Try our Microsoft Excel integration for matching and cleansing data directly within a spreadsheet. It's as easy as calling a pre-integrated Excel function for organization/company names in worksheet cells.

Explore Excel Integration

Service Bureau - Our Data Matching Task Force

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

Contact Support

Sample Matches (Sorted by Similarity Key)

Company Input	Similarity Key
Toyota Corporatin	`tmOnl2ryWlUguo7nebVhQ4WQnQ4PvxAd81MHwa_y_to`
Tyota Corp (Japan)	`tmOnl2ryWlUguo7nebVhQ4WQnQ4PvxAd81MHwa_y_to`

Petrobras	`wjcn9qPNvLPrJhuS6jbWF6UGRjgaVpYVjzyqJOdgcaM`
Petroleo Brasileiro S.A	`wjcn9qPNvLPrJhuS6jbWF6UGRjgaVpYVjzyqJOdgcaM`

BMW	`qLAoXfmrTOrT8lcGlrZ2bDELo2swEzXmg53zLWdOyqQ`
Bayerische Motoren Werke AG	`qLAoXfmrTOrT8lcGlrZ2bDELo2swEzXmg53zLWdOyqQ`
Bayerische Motor Werke (BMW)	`qLAoXfmrTOrT8lcGlrZ2bDELo2swEzXmg53zLWdOyqQ`

BNP Paribas	`YxBvAZ3lbgyoeCuUrTn19LIASoh3rJhZjcCan79cveM`
Bank BNP Paribas	`YxBvAZ3lbgyoeCuUrTn19LIASoh3rJhZjcCan79cveM`

PetroChina Co. Ltd.	`F9rv2yIYDB2IveLHuzb3XjecwJ1BYdTQQW77dvyoBDQ`
Petro-China	`F9rv2yIYDB2IveLHuzb3XjecwJ1BYdTQQW77dvyoBDQ`
PetroChina Company Limited	`F9rv2yIYDB2IveLHuzb3XjecwJ1BYdTQQW77dvyoBDQ`

Banco Santander	`i5I9QIUydH_dP6ldIuZjJrhGpp80PJNSbbJNxwj5APc`
Santander Group	`i5I9QIUydH_dP6ldIuZjJrhGpp80PJNSbbJNxwj5APc`
Santandr Bank	`i5I9QIUydH_dP6ldIuZjJrhGpp80PJNSbbJNxwj5APc`
Banco Santander S.A.	`i5I9QIUydH_dP6ldIuZjJrhGpp80PJNSbbJNxwj5APc`

Piraeus Bank	`FNC2_dtk9AZlRN8Ot0Ykzywe8Ims6adAmzwO5qphZEo`
Pireaus Financil Hlndgs	`FNC2_dtk9AZlRN8Ot0Ykzywe8Ims6adAmzwO5qphZEo`

BİM Berleşik Mağazaler	`VJ4Oq6hOxmeZteC1EDJT4eQel1vWQxTpfHquDORJwfk`
B.I.M. Birlesik	`VJ4Oq6hOxmeZteC1EDJT4eQel1vWQxTpfHquDORJwfk`
BİM Birleşik Mağazalar A.Ş.	`VJ4Oq6hOxmeZteC1EDJT4eQel1vWQxTpfHquDORJwfk`

Björn Borg	`ueWzU0QLYSTVBJVS_m6ei8ixYDFiptUjbZPdjslNI2E`
Bjorm Brog Clothing	`ueWzU0QLYSTVBJVS_m6ei8ixYDFiptUjbZPdjslNI2E`

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

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

PJSC Gazprom	`1suDF2FsbuCUBPosATljOVw_ovw_RznDTI4DF6X2wTg`
Gazprom	`1suDF2FsbuCUBPosATljOVw_ovw_RznDTI4DF6X2wTg`
Gazprom Russia	`1suDF2FsbuCUBPosATljOVw_ovw_RznDTI4DF6X2wTg`
GAZPROM PAO	`1suDF2FsbuCUBPosATljOVw_ovw_RznDTI4DF6X2wTg`
Gaz prom	`1suDF2FsbuCUBPosATljOVw_ovw_RznDTI4DF6X2wTg`
Gazprom Bank	`1suDF2FsbuCUBPosATljOVw_ovw_RznDTI4DF6X2wTg`
Gazprom Neft	`1suDF2FsbuCUBPosATljOVw_ovw_RznDTI4DF6X2wTg`
Gazpormbank	`1suDF2FsbuCUBPosATljOVw_ovw_RznDTI4DF6X2wTg`

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

PetroVietnam	`gVzS9hXt8FdAISVdnB7uisfT2DzIzRfGKgdKz2JmnJc`
PV Group	`gVzS9hXt8FdAISVdnB7uisfT2DzIzRfGKgdKz2JmnJc`
Vietnam Oil and Gas Group	`gVzS9hXt8FdAISVdnB7uisfT2DzIzRfGKgdKz2JmnJc`
PetroVietnam Oil	`gVzS9hXt8FdAISVdnB7uisfT2DzIzRfGKgdKz2JmnJc`
Petro Vietnam	`gVzS9hXt8FdAISVdnB7uisfT2DzIzRfGKgdKz2JmnJc`

Telstra	`UPX0mTXBoeAc-ohSWZkDQSOPTDJ3g71F8t7KY6g7ZEM`
Tellstra	`UPX0mTXBoeAc-ohSWZkDQSOPTDJ3g71F8t7KY6g7ZEM`
Telstra Mobil	`UPX0mTXBoeAc-ohSWZkDQSOPTDJ3g71F8t7KY6g7ZEM`
Telcom TELSTRA	`UPX0mTXBoeAc-ohSWZkDQSOPTDJ3g71F8t7KY6g7ZEM`

SShoprite Holdings Ltd	`L0_xrhEEpDWbh2zsrCc97aozrhWd5pXZDZUm1r7gayk`
Shop Rite LTD	`L0_xrhEEpDWbh2zsrCc97aozrhWd5pXZDZUm1r7gayk`
Shoprite S Africa	`L0_xrhEEpDWbh2zsrCc97aozrhWd5pXZDZUm1r7gayk`

Snowflake	`zPXpUnLwdW0UtBh8kNE4gA6DgwFBNzkm0djgmnyjgaM`
snoflake inc	`zPXpUnLwdW0UtBh8kNE4gA6DgwFBNzkm0djgmnyjgaM`
SNOW FLAKE CORP	`zPXpUnLwdW0UtBh8kNE4gA6DgwFBNzkm0djgmnyjgaM`

Microsoft Inc	`xUhcrilUNsRiCthe7rXkIupHiCbhhgyLrKNAcXruwoA`
microsot	`xUhcrilUNsRiCthe7rXkIupHiCbhhgyLrKNAcXruwoA`
MICROS0FT	`xUhcrilUNsRiCthe7rXkIupHiCbhhgyLrKNAcXruwoA`

IBM	`edplDLsBWcH9Sa7ZECaJx8KiEl5lvMWAa6ackCA4azs`
Intl businessmachines	`edplDLsBWcH9Sa7ZECaJx8KiEl5lvMWAa6ackCA4azs`

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

Groups of rows with the same color share the same similarity key, indicating they are considered similar records.