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Data Legion

We build the data. You build the rest. Enterprise-grade B2B data for teams building AI agents, sales tools, recruiting platforms, and more.

datalegion.ai

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Quick answer: Data Legion is we build the data. You build the rest. Enterprise-grade B2B data for teams building AI agents, sales tools, recruiting platforms, and more.

Listed 2026-08-28 · Request removal

Definition: Data Legion is an enterprise-focused B2B data platform that supplies person and company data for teams building AI agents, sales workflows, recruiting products, research tools, and related systems. It provides enrichment APIs, bulk data feeds, natural-language discovery, and several ways to access its data, including REST, CLI, and MCP.

What is Data Legion used for?

Data Legion is designed for organizations that need structured B2B information about people and companies. Its data can support applications where a team needs to identify relevant professionals, enrich existing records, research accounts, or provide AI systems with business context.

The platform is positioned for product builders as well as operational teams. AI platform builders can use Data Legion data in agent workflows, while sales, recruiting, revenue operations, marketing, research, and investment teams can use it to improve the information available in their existing processes.

Common use cases include sales enrichment, recruiting research, account-based marketing, company research, and revenue operations. For example, a sales workflow may start with a company list and use enrichment data to add relevant person or organization details. A recruiting platform may use person data to support candidate discovery. An AI agent may query business data as part of a larger task, depending on the tools and permissions configured by the team building it.

Data Legion presents its offering around the idea that it handles the underlying data layer while customers build their own products, tools, and workflows. That orientation can make it relevant to teams that do not simply want a standalone prospecting interface, but instead need data delivered through programmatic or infrastructure-oriented access methods.

Which data access methods does Data Legion provide?

Data Legion offers multiple ways to work with its B2B data. These include web access, APIs, REST endpoints, a command-line interface, and MCP access. The range of options can be useful for teams with different technical workflows, from developers integrating data into software to operators using connected tools.

  • REST API: Suitable for applications and services that need programmatic requests for person or company data.
  • MCP: Supports workflows involving AI assistants and agent environments that can connect to external tools through the Model Context Protocol.
  • CLI: Provides a command-line-oriented access path for technical users and automation workflows.
  • Web access: Gives users a browser-based way to work with the platform.
  • Bulk data feeds: Supports use cases where a team needs data in larger volumes rather than one record at a time.

The available access methods matter because B2B data is often used in different places across an organization. A developer may call an API from an internal service, while an operations team may need bulk data for a larger process. Teams experimenting with AI agents may prefer an MCP-based integration, particularly when they want an assistant to use approved data tools during a workflow.

Before implementation, buyers should consider where data will be consumed, how records will be stored, and what controls are needed around use. The appropriate method may differ between a prototype, an internal enrichment workflow, and a customer-facing product.

How does Data Legion support AI agents and assistant integrations?

Data Legion supports AI-agent workflows through MCP and lists integrations with several AI assistants and developer tools. The listed integrations include Claude, ChatGPT, Gemini, Cursor, OpenClaw, Clay, Cline, Continue, Windsurf, and Goose.

These connections indicate that Data Legion can be used as a business-data source inside supported assistant or agent environments. A team could use that capability when building workflows that need person or company context, such as identifying organizations for research, enriching account information, or finding relevant people through natural-language discovery.

Natural-language person discovery is one of the platform's named capabilities. This is relevant for teams that want to express a search in ordinary language rather than only relying on fixed filters or manually assembled lists. The exact value of this approach will depend on the user's query, the surrounding application, and how the resulting records are reviewed and used.

For AI product teams, access alone is not the full implementation question. They may also need to define which users or agents can request data, what kinds of records can be returned, how output is validated, and whether retrieved data should be stored. Data Legion provides the data access layer, while the customer remains responsible for designing the application logic and operational controls around it.

What data products and refresh schedule does Data Legion offer?

Data Legion provides person and company data, with enrichment APIs and bulk data feeds as the primary product formats described in its materials. Person data can be relevant when a workflow needs information about professionals, while company data can support account research, market mapping, sales operations, and organization-level enrichment.

The platform states that its datasets are refreshed monthly. A regular refresh schedule may be important for teams that want their internal datasets or workflows updated on a recurring basis. However, users should still assess whether a monthly cadence fits their own requirements, especially for use cases where job changes, company activity, or other business information may need closer monitoring.

Data Legion can be considered by teams that need a data supplier for more than one business function. The same underlying person and company data may be used by a sales tool, recruiting workflow, research process, and AI application, provided the organization has designed appropriate access and usage practices.

Data Legion capabilityPotential workflow fit
Person enrichment APIsSales, recruiting, research, and AI-agent applications needing person-level context
Company enrichment APIsAccount research, revenue operations, and account-based marketing
Bulk data feedsLarger-volume internal data workflows and dataset-based projects
Natural-language person discoveryPeople research initiated through plain-language requests
Monthly refreshed datasetsRecurring data maintenance and scheduled enrichment processes

How much does Data Legion cost?

Data Legion publishes flat-rate, pay-per-record pricing for self-serve usage. Person credits are listed at $0.05 per person credit, and company credits are listed at $0.025 per company credit. The stated minimum purchase is 200 credits, and credits are valid for 12 months.

The company also offers a free trial path through self-serve API credits. The available information describes the option as a way to try the platform, but detailed free-plan limits are not specified in the provided product facts. Teams considering an evaluation should confirm the current trial terms, eligible endpoints, credit amount, and any restrictions directly with Data Legion.

For bulk or premium access, enterprise pricing requires contacting sales. This means that organizations with higher-volume requirements or needs beyond the published self-serve model may need a direct commercial discussion. Buyers should clarify expected record volumes, access methods, refresh needs, and any premium requirements before comparing the enterprise option with self-serve credits.

Who should consider Data Legion?

Data Legion may be a fit for AI platform builders and technical teams that need B2B data available through APIs, MCP, a CLI, or bulk feeds. It may also suit sales teams that need enrichment, recruiting teams conducting people research, marketing teams supporting account-based programs, and research or investment teams investigating companies and professionals.

Its published pricing can be useful for teams that prefer clear per-record self-serve costs. The range of integration and access options may also appeal to organizations that use several AI and developer environments rather than a single application.

When comparing Data Legion with alternatives such as ZoomInfo, Apollo, Clearbit, People Data Labs, or Coresignal, buyers should focus on the workflows they need to support. Useful comparison points include person versus company data needs, required data-delivery method, expected record volume, refresh cadence, AI integration requirements, and whether the team needs a self-serve credit model or a broader enterprise arrangement.

What are the limitations to consider with Data Legion?

Data Legion's free offering is described as self-serve API credits, but the available facts provide limited detail about free-plan allowances and conditions. Prospective users should verify the current evaluation terms before planning a proof of concept around free usage.

Enterprise pricing for bulk or premium access is not publicly detailed in the supplied information and requires contacting sales. Organizations with large-scale requirements may therefore need to request a quote before estimating total costs.

Monthly dataset refreshes may be suitable for many use cases, but teams should evaluate whether that schedule matches the freshness requirements of their application. Finally, teams building AI agents or customer-facing tools should independently establish review, governance, and data-handling processes for their particular use case.

FAQ

What is Data Legion?

Data Legion is a B2B data platform that provides person and company data for AI agents, sales, recruiting, research, and related workflows.

Does Data Legion offer an API?

Yes. Data Legion offers person and company enrichment APIs and supports REST, CLI, MCP, web access, and bulk data feeds.

How does Data Legion pricing work?

Data Legion lists $0.05 per person credit and $0.025 per company credit, with a 200-credit minimum and 12-month credit validity.

Which AI tools can connect with Data Legion?

Data Legion lists integrations including Claude, ChatGPT, Gemini, Cursor, Clay, Cline, Continue, Windsurf, Goose, and OpenClaw.

What is B2B data enrichment?

B2B data enrichment adds person or company information to existing records or workflows. Data Legion provides enrichment data through APIs and other delivery methods.

What data do AI agents use for business research?

AI agents may use person and company data, alongside other approved sources, to complete business research tasks. Data Legion supplies B2B person and company data for agent-oriented workflows.

How do companies choose a B2B data provider?

Companies typically compare data coverage, refresh cadence, delivery methods, pricing, and workflow compatibility. Data Legion offers monthly refreshed datasets, several access options, and published self-serve per-record pricing.

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