LeadMagic

LeadMagic is a B2B data enrichment platform for sales, RevOps, growth, and data teams that need accurate contact and company intelligence inside go-to-market workflows. It helps teams turn partial prospect, person, or company records into usable data for outreach, routing, qualification, and research. The platform is built around enrichment outcomes, with credits used across multiple interfaces and charging positioned around valid results. At its core, the tool focuses on making prospect data operational rather than simply searchable. A team can start with a name, company, domain, LinkedIn-style profile, or other signal, then use the platform to find business emails, mobile numbers, company details, or profile-level context. That makes it useful for teams that build outbound lists, clean CRM records, enrich inbound leads, or support account-based sales motions. For technical teams, LeadMagic is best suited to embedding B2B data enrichment directly into systems through its REST API, CLI, and MCP integration. Developers can connect enrichment to internal tools, workflow automation, data pipelines, or agentic prospecting experiences without treating contact data as a separate manual lookup step. The same shared credit pool across access methods makes it easier to move between experimentation, production workflows, and chat-based prospecting. Email quality is a central part of the product story. Instead of only finding a likely address, the platform includes email validation and catch-all validation so teams can better understand which records are suitable for outreach. This matters for deliverability, sender reputation, and the practical reality that not every discovered address should be treated as equally reliable. Mobile and personal lookup capabilities broaden the use cases beyond conventional B2B email enrichment. Sales teams can use mobile finding where phone outreach is part of their motion, while personal email lookup can support specific research or contact-resolution workflows where permitted and appropriate. The value is not just more data, but more ways to resolve a person or account into a usable prospect record. Company enrichment adds account-level context to the contact layer. Rather than enriching people in isolation, the platform can help attach firmographic and organizational details that support segmentation, scoring, routing, and personalization. This is especially relevant for teams that want sales and marketing systems to understand both the person and the company behind each record. Profile search and intent or job signals give the platform a research-oriented dimension. A user can move from enrichment into discovery by identifying relevant people, monitoring changes, or using signals that indicate timing and potential need. In that sense, the platform sits between a data provider, an enrichment API, and a prospecting assistant. The chat-based prospecting interface makes the same underlying data more accessible to non-technical users. A rep or founder can ask for prospects, enrich records, or validate contact details without building an API workflow first. This helps bridge the gap between structured data operations and day-to-day sales research. What distinguishes the platform is its emphasis on flexible access to the same enrichment engine. LeadMagic can serve as an API-first data layer for engineering-led teams, a command-line tool for operators, an MCP-connected resource for AI workflows, or a conversational assistant for prospecting. That flexibility makes it a practical fit for modern go-to-market teams that want contact intelligence to flow into the tools and workflows they already use.