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 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", "ai-medium-narrow", "ai-medium-wide", "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 as well 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,ai-plus-narrow,model-v3-wide...]

Sample Request

https://api.interzoid.com/getcompanymatchadvanced?license=fh5hs7*****&company=ibm&algorithm=model-v3-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=model-v3-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. May have longer response times.

ai-medium-narrow

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

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. 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

Use this API in a High-Performance, No-Code, Cloud Batch Mode

Our No-Code batch tool enables you to quickly use this API within our parallel-processing Cloud platform, processing text files (CSV/TSV) with a few clicks and without writing code. This is the fastest and easiest way to use this API with higher volumes of data, enabling matching within or across datasets in minutes.

Start Now

Full Dataset Matching API

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

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.