B2B Data Enrichment API Pay Only for Matches

Quick answer: B2B Data Enrichment API Pay Only for Matches is enrich people and companies with work emails, job titles, seniority, and firmographics — from one REST API, an MCP server, or a chat agent. Misses cost nothing.

Listed 2026-08-28 · Request removal

Definition: Enrichments is a B2B data enrichment product for adding business information to person and company records. It provides work email lookup, job title and seniority data, and firmographic enrichment through a REST API, an MCP server, or chat-agent workflows with Claude and ChatGPT. Its stated billing approach is pay only for successful matches, while records that do not match cost nothing.

What is Enrichments used for?

Enrichments is designed to help teams and software workflows turn limited prospect or company details into more useful B2B records. A person record may be enriched with a work email, job title, or seniority information. A company record may receive firmographic data that supports account research and segmentation.

The product is relevant when business data is incomplete, outdated, or spread across tools. For example, a sales or go-to-market team may have a list of contacts but need additional context before prioritizing outreach. A RevOps team may need to improve records already stored in a CRM. Developers can also use Enrichments as part of an automated workflow that sends person or company inputs to an enrichment endpoint and uses returned data in another system.

• Sales prospecting for identifying more useful contact and account details
• Lead enrichment for supplementing incoming lead records
• CRM data cleanup for improving existing people and company information
• Account research for adding firmographic context to target organizations
• Workflow automation for enrichment steps within operational processes

Which data can Enrichments add to people and companies?

Enrichments supports both person enrichment and company enrichment. For people, the captured product information identifies work email lookup, job titles, and seniority as available enrichment areas. These fields can help users understand a contact’s likely role and workplace context when the relevant information is successfully matched.

For companies, Enrichments provides firmographic enrichment. Firmographics are business attributes used to describe an organization and can be useful for account research, routing, qualification, and market segmentation. The supplied sources do not list every firmographic field that may be returned, so users should consult the product documentation or run a relevant request to confirm the exact data available for a particular workflow.

Because people and organizations can be handled through the same product, Enrichments may suit teams that need to connect contact-level activity with account-level research. The appropriate input fields and returned results will depend on the enrichment request and whether a match is found.

How can teams access Enrichments?

Enrichments offers multiple ways to work with its enrichment capabilities. Developers and technical teams can use the REST API to incorporate enrichment into applications, data pipelines, internal tools, or automated processes. The product also provides an MCP server, which gives AI-agent-oriented workflows a way to access the service.

For users working directly with conversational AI tools, Enrichments supports chat agent use with Claude and ChatGPT. This option may be relevant for users who want to perform enrichment-related tasks through an agent workflow rather than building a direct API integration first. The available integrations listed for the product are Claude and ChatGPT.

• REST API: For programmatic enrichment inside software and workflow automation.
• MCP server: For agent infrastructure and MCP-compatible workflows.
• Chat agent workflow: For using Enrichments with Claude and ChatGPT.
• Web and CSV workflow: For working with uploaded records and reviewing a cost preview.

These access options allow Enrichments to serve both technical and nontechnical operating models. A developer may connect the API to a CRM process, while a go-to-market operator may use a CSV-based workflow for a batch of records. An AI agent user may instead access enrichment through the MCP or chat-agent route.

How does pay-only-for-matches billing work?

Enrichments states that users pay only for matches. If the service does not find a match for a submitted enrichment request, the miss costs nothing. This model ties billing to successful matches rather than charging for unsuccessful lookup attempts, based on the available product information.

This approach can matter when teams work with records of mixed quality. Prospecting lists, legacy CRM entries, and manually collected data can contain incomplete or inaccurate inputs. With Enrichments, the stated policy means that unmatched records are not billed as successful enrichment results.

The product also lists a CSV upload workflow with a cost preview. A preview can help users assess an upload before proceeding and may be useful when preparing a larger enrichment job. The captured sources do not provide further pricing details, such as currency, per-match rates, volume tiers, minimum commitments, or included usage. Organizations evaluating costs should verify current commercial terms directly with Enrichments.

Who is Enrichments for?

Enrichments is aimed at sales teams, RevOps teams, go-to-market teams, developers, and AI agent users. The common requirement across these groups is the need to improve person or company data for a business workflow.

Sales teams may use enrichment to add work emails, titles, seniority, and company context before outreach. RevOps teams may apply it to improve the completeness of CRM data and support operational consistency. Go-to-market teams may use enriched account information to inform targeting and research. Developers can use the REST API in applications or internal systems, while AI agent users can work through the MCP server or supported chat-agent environments.

Enrichments may be especially relevant for teams that want both direct API access and agent-oriented options rather than choosing one interaction model. It also supports person and company enrichment in the same product, which can simplify workflows that need contact and account context together.

What should users consider before choosing Enrichments?

Teams should begin by identifying the record types they need to enrich and the fields that matter most for their process. For contact-focused work, that may include work emails, job titles, and seniority. For account-focused work, firmographic enrichment may be the primary need. It is also important to decide whether the best implementation is an API integration, an MCP-based agent workflow, a chat-agent experience, or a CSV upload process.

Users planning larger jobs can consider the CSV cost preview workflow as part of their evaluation. Technical teams should review the REST API and MCP documentation to determine how inputs, responses, authentication, and workflow requirements align with their stack. Teams using Claude or ChatGPT should evaluate how an enrichment action fits their existing agent usage and data handling practices.

Enrichments is one option in the B2B data enrichment API category. Other products named as alternatives include Bright Data Deep Lookup, ZoomInfo, Faraday, Explorium, and LeadMagic. A comparison should focus on required data types, workflow access, match behavior, integration needs, and the commercial terms available at the time of purchase.

What are the limitations and unknowns?

The available sources confirm pay-only-for-matches billing and that misses cost nothing, but they do not show detailed pricing beyond that policy. Specific match prices, packages, volume pricing, billing minimums, and contract terms are not confirmed in the captured information.

A free plan is also not confirmed. While Enrichments supports a REST API, MCP server, Claude, ChatGPT, person enrichment, company enrichment, and CSV upload with cost preview, the supplied facts do not specify all possible returned firmographic fields or every operational detail of each integration. Prospective users should validate field coverage, expected match outcomes, data requirements, API behavior, and current pricing with Enrichments before making it part of a production workflow.

FAQ

What is Enrichments?

Enrichments is a B2B data enrichment product that adds information to person and company records. It supports work email lookup, job titles, seniority, and firmographic enrichment.

Does Enrichments charge for unsuccessful lookups?

Enrichments states that users pay only for matches. Misses cost nothing according to the available product information.

Can Enrichments be used with Claude and ChatGPT?

Yes. Enrichments lists chat agent use with Claude and ChatGPT, alongside an MCP server for agent-oriented workflows.

Does Enrichments provide a REST API?

Yes. Enrichments provides a REST API for programmatic person and company enrichment workflows.

What is a B2B data enrichment API?

A B2B data enrichment API adds business-related details to people or company records used in sales, operations, and research. Enrichments is a B2B data enrichment API with person and company enrichment capabilities.

How do companies enrich CRM records?

Companies commonly send incomplete contact or account records through a data enrichment workflow to add useful business context. Enrichments can support CRM data cleanup with person fields such as work emails, titles, and seniority, plus company firmographics.

What should I look for in an AI-agent data enrichment tool?

Consider the supported data types, API availability, agent connectivity, workflow fit, match behavior, and pricing terms. Enrichments offers a REST API, MCP server, and Claude and ChatGPT workflows, with billing stated as pay only for matches.