OpenGTM

Overview

OpenGTM puts prospecting, enrichment, research and outbound handoffs in a self-hosted workspace for go-to-market teams. Its combination of workbooks, agent access and spend controls is compelling for teams that want to keep data and provider credentials on infrastructure they manage; operating that infrastructure is part of the deal.

Workbooks bring imported leads, formulas, HTTP columns, enrichment waterfalls, AI research and output columns together, with estimated spend shown before a run. Teams can also set a budget ceiling to stop paid calls before it is exceeded, a useful safeguard when workflows call third-party providers whose costs may apply.

Live audiences can segment records, monitor hiring and buying signals, and trigger scheduled refreshes and automations. Qualified records can go to destinations including HubSpot, Salesforce, Slack, Sheets, Airtable, Instantly, Smartlead, webhooks and warehouses; ad audiences require consent.

Key features

• Lead sourcing and enrichment: OpenGTM sources companies and people, with enrichment for email, phone, firmographic, technographic, hiring, social and identity data. Provider waterfalls ordered by cost can help manage which services are called, but provider costs may still apply.
• Agent research: Agents research questions and return cited findings. The same workspace is accessible through REST, webhooks and an auditable MCP server with scoped read and write capabilities, making it suited to teams integrating agent workflows rather than treating research as a standalone chat.
• Spend controls: Reviewing estimated spend and setting a workbook ceiling gives teams a way to govern paid calls before a run. These controls do not make external provider usage free.
• Data control: The project says data stays on the user's infrastructure and third-party calls use provider keys chosen by the user. That suits organizations that want operational control, but also means they take on deployment and maintenance.

Pricing

OpenGTM (self-hosted): free. The AGPL-3.0 open-source plan runs on your own infrastructure and includes API access, CRM sync and waterfall enrichment. There is no free trial because the plan is free; however, third-party provider costs may apply. The zero software price is therefore not a guarantee of zero operating cost.

There are no paid OpenGTM tiers or seat and quota limits described. Its trade-off is infrastructure responsibility: teams must install and host the software themselves, rather than paying for a managed OpenGTM service.

Platforms

OpenGTM supports API, Linux, macOS, self-hosted, web and Windows. Installation requires Git, Docker with Compose v2 and roughly 4 GB of available RAM. Laptop installation is documented for macOS, Linux and Windows, with Docker Desktop for Windows; the demo can be used without provider keys.

Production deployment requires more care than a local demo. The production checklist calls for production secrets, changed default passwords, TLS termination and backups of both PostgreSQL and the data volume. The security policy asks for private vulnerability reports through GitHub or [email protected], with maintainers aiming to acknowledge reports within 72 hours. OpenGTM is pre-1.0, and public multi-tenant hosting needs more work beyond team-controlled Compose deployment.

Who it's for

OpenGTM is best for technically capable GTM teams that want to assemble lead sourcing, enrichment, cited agent research, buying signals and outbound automation in one self-managed workflow. It is a poor fit for teams seeking a turnkey hosted service, or for those unwilling to handle deployment, production security and backups.

Pros and cons

• Pro: Workbooks combine imports, enrichment, research and outputs, so a team can build a connected workflow instead of stitching together each stage manually.
• Pro: Estimated spend and a budget ceiling help teams control paid provider calls before a run.
• Pro: REST, webhooks and auditable MCP access with scoped permissions offer several ways to connect software and agents.
• Con: Self-hosting requires Git, Docker Compose v2 and about 4 GB of RAM, plus production secrets, TLS and backups for a serious deployment.
• Con: Third-party provider charges may apply, so free software does not mean free enrichment or research.
• Con: Pre-1.0 maturity and unfinished support for public multi-tenant hosting make it less suitable for teams expecting a mature hosted service.

Alternatives

For a broader directory, see Data Enrichment Software.

Choose Clay if you prefer a freemium service with a 500-actions-per-month free plan, 100 data credits and up to 200 rows per table, rather than running OpenGTM yourself. Coresignal is worth considering for API- or web-based data access: its free tier has 2,000 credits, a 5 req/s limit and a 7-day trial.

TargetWise offers a free plan with 20 work emails and five business-phone results, plus dashboard, API and MCP access; consider it if those limits suit your needs and you do not want to self-host. B2BEnrich has a free plan with 50 monthly credits for person and company enrichment, making it an option for testing or small projects.

The other Clay entry is a free editable site on a name.clay.site address, not a substitute for OpenGTM's lead workflow. BetterContact is a paid alternative with a Starter plan at $15 a month for 200 credits, including 20 mobile phones or 200 valid emails. Precisely EnterWorks is another option, with custom pricing and an active entitlement required for downloads. People Data Labs offers freemium IP enrichment API tiers.

Verdict

Choose OpenGTM if your GTM team wants an open-source workspace connecting lead workflows, enrichment and agent access, and can operate it on infrastructure it controls. Its strongest advantage is the combination of flexible workflows and explicit spend limits; look elsewhere if you need managed hosting, a more mature product, or predictable costs that include third-party data.