OpenGTM vs People Data Labs

OpenGTM is an open-source, self-hosted workspace for go-to-market teams and their agents. It handles lead sourcing and enrichment, AI research with cited answers, buying-intent tracking and sending qualified records to other tools. Workbooks combine imports, formulas, HTTP columns, enrichment waterfalls, AI research and output columns, with estimated spend visible before runs. Teams can segment live audiences, monitor hiring and buying signals, and schedule refreshes and automations. Listed activation destinations include HubSpot, Salesforce, Slack, Sheets, Airtable, Instantly, Smartlead, webhooks, warehouses and consent-gated ad audiences. The workspace is also available through REST, webhooks and an auditable MCP server with scoped read and write access. The project says data remains on the user's infrastructure and external calls use provider keys selected by the user. Teams can set workbook budgets to stop paid calls at a ceiling, although provider charges may apply. The software is free under AGPL-3.0. Installation requires Git, Docker with Compose v2 and roughly 4 GB of RAM. The project is pre-1.0; public multi-tenant hosting needs further work beyond team-controlled Compose deployment.

People Data Labs provides B2B data products for building data-driven products and enriching person and company records. Its APIs can look up person profiles from details such as a name, location, email, phone, education, work history, or social profile; requests need sufficient information to identify a match. The company dataset describes more than 23.8 million global companies, with fields such as name, domain, industry, location, LinkedIn URL, employee count, and founding year. The listed contact database size is 3 billion, and the product includes direct-dial and intent data. API offerings cover person and company enrichment, search, IP enrichment, and person identification. The free plan is free for up to 100 credits per month, but contact data values are obscured. Pro starts at $98 a month, with 350 credits per month as the starting level and contact data included. Enrichment requests typically use one credit per successful request; Search uses one per returned profile.