| Product center | Enterprise GTM intelligence: contact data, company data, enrichment, intent, operations, and account workflows. | Prospecting and sales engagement workspace: database search, enrichment, sequences, dialer, AI, and MCP/Claude workflows. | Verified B2B contact data layer: masked previews, export-ready contacts, API access, and MCP access. | These products overlap, but they are not interchangeable operating systems. |
| Pricing motion | Quote-led. Buyers need contract-level detail on seats, credits, modules, renewals, exports, API, and automation. | Public pricing entry point, but credits and add-ons can materially change the real operating cost. | Visible entry plans and a narrower data workflow, with larger API/export needs handled through higher plans. | Do not compare plan names. Compare the cost of the exact workflow your team will run. |
| AI-agent readiness | Evaluate API and automation terms directly; do not assume every browser workflow can be delegated to an agent. | Official MCP/Claude documentation validates agentic sales workflows, with plan limits and credits still applying. | OAuth-protected MCP with counts and masked previews first; reveal and export remain account-controlled. | Agent access changes plan limit planning because software can consume lookups faster than reps. |
| Data quality test | Test role coverage, enrichment fields, phone access, stale titles, and export terms in your market sample. | Test verified emails, credit burn, enrichment cost, duplicate handling, and sequence handoff. | Test verified contacts, aggregate company coverage, export quality, and whether API/MCP access fits the workflow. | Use the same 25 accounts, target titles, countries, and export destination across all three. |
| Best fit | Best when a mature revenue organization wants one enterprise GTM data vendor across several teams. | Best when SDRs need data and outbound execution in one daily workspace. | Best when the team wants the data layer separated from engagement and automation tools. | The best fit depends on whether you are buying a suite, a workspace, or a data layer. |