Sold by: Interzoid
This API uses AI models, Machine Learning, specialized algorithms, and extensive knowledge bases to generate a similarity key for an individual name to be used to match with other similar individual name data to identify data inconsistency, misspellings, name variations, nicknames, and more. The API can be called to generate a key for single records for matching with other records, or can be used to process, match, and normalize entire datasets via either API or the Web GUI wizard.
Overview
This API uses AI, Machine Learning, specialized algorithms, and extesnive knowledge bases to generate a similarity key. These keys, when sorted or matched, enable similar individual names to be clustered together for the purposes of identifying inconsistent company/organization name data, improving Analytics, Business Intelligence, business processes, Data Science, Artificial Intelligence, Machine Learning, ETL/ELT data pipelines, CRM, Marketing, and other data-driven initiatives that depend on high quality, consistent, and accurate data to be effective and successful.
This REST-based API takes an individual query string and returns the results in JSON for easy, standardized integration into Web sites, applications, and business processes. In addition, using your assigned universal API key (how AWS Marketplace usage is tracked), a Web application is available enabling the generation of on-the-fly match reports to targeted data sources, such as AWS RDS, Snowflake, Azure SQL, MySQL, Postgres, CSV files, and others - no coding necessary.
There are SDKs available for Go, Python, Node.js, and Java.
In addition, matching reports from an entire targeted data source can be performed from the command line in single call, generating entire individual name match reports that showcase data challenges such as name inconsistency, data anomalies, and duplicate data. These are challenges that can also be resolved within the offering. No installation of software is required, as everything runs 100% in the Cloud.
Highlights
- Use the Cloud Data Connect Wizard to quickly generate match and inconsistent data reports in just a few quick steps using these APIs. It connects to AWS RDS/Aurora and several other Cloud database platforms, as well as local CSVs, TSVs, Parquet, JSON, and Microsoft Excel files. Try it at https://connect.interzoid.com
- AI-powereed API generates similarity keys to enable clustering of inconsistent individual names for easy reporting, observability, matching, and resolving data inconsistency and redundancy issues. Code samples available.
- APIs can be called individually for single records and control of matching approach, or entire datasets can be analyzed and matched automatically from a Web application or via a single command on the command line with pre-built match reporting.
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/request |
|---|---|
Number of Interzoid API Requests | $0.01 |
Dimensions summary
You pay based on the number of API requests you make. Each request deducts one credit from your account balance, so pricing scales directly with your usage. There are no separate charges for the cloud database products, batch tools, or interactive applications that use the API. You only pay for the API requests themselves, whether you call the API directly or run it through the available tools. This single usage-based dimension means your cost rises and falls with how many name-matching requests you process.
Top-of-mind questions for buyers
One request equals one API call, which typically corresponds to one record in your dataset. The API generates a similarity key from an individual name for matching. Each name you process consumes one request. Some premium APIs deduct more than one credit per call, but standard name-matching calls deduct one.
No. The wizards, database tools, and browser-based sample apps carry no separate usage fee. You are billed only for the underlying API requests they make while processing your data. The cost is the same whether you call the API directly or drive it through any tool.
Additional requests are charged at a per-request rate that varies by your usage level. Your account shows a negative credit balance for the overage. Extra usage is billed at the end of the term, or sooner once certain spending thresholds are reached during the period.
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online support support@interzoid.com
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Similar products
This API uses AI models, Machine Learning, specialized algorithms, and extensive knowledge bases to generate a similarity key for a company name used to match with other similar company name data to identify data inconsistency. The API can be called to generate a key for single records for matching with other records, or can be used to process, match, and normalize entire datasets via either API or the Web GUI wizard.
Elevate your data with the Interzoid AI Data Enrichment Agent, a powerful, cloud-native solution designed to enhance datasets with real-world, custom-generated data. Powered by generative AI, machine learning, and large language models (LLMs), this tool enables seamless data enrichment for marketing, CRM, analytics, and AI model development. Integrate effortlessly with AWS RDS, Aurora, Snowflake, SQL Server, CSV/TSV, and other cloud platforms to append precise, comprehensive, relevant data to your datasets in real time quickly and with just a few clicks.
Quickly and easily elevate your data to new heights of quality, usability, and value. Leverage AI, Machine Learning, specialized algorithms, and comprehensive knowledge bases to enable the discovery, matching, and resolution of inconsistencies in company names, organization names, individual names, or addresses, including custom, self-defined data enrichment.
This API provides a timed, browser-simulated page load function (or other Web function such as an API call) from the specified geography using a hosted server from that geography.
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