OpenGTM

Overview

OpenGTM is a self-hosted workspace for teams that build prospect lists, enrich records, and automate go-to-market work. It suits teams willing to run software on their own infrastructure and manage third-party provider accounts. Its breadth is appealing, but the deployment burden and pre-1.0 status call for a technically capable team.

Key features

OpenGTM combines lead sourcing with enrichment for email, phone, firmographic, technographic, hiring, social, and identity data. Provider waterfalls try services in cost order, which gives teams a way to organize enrichment across providers; the calls can still incur third-party costs.

Workbooks bring imported leads, formulas, HTTP columns, enrichment, AI research, and output columns into one workflow. Estimated spend appears before a run, and a workbook budget can stop paid calls before they exceed its ceiling. That makes the workflow more controllable for teams using metered providers, though it does not remove those providers’ charges.

Agents can research questions and return cited findings. Live audiences segment records, track hiring and buying signals, and can trigger scheduled refreshes and automations. Qualified records can flow to destinations including HubSpot, Salesforce, Slack, Sheets, Airtable, Instantly, Smartlead, webhooks, and warehouses; ad audience activation is consent-gated.

The workspace is accessible through REST, webhooks, and an auditable MCP server with scoped read and write access. Its MCP guide names Claude, Codex, OpenCode, Pi, Cursor, Windsurf, and other stdio MCP clients. The project says data stays on the user's infrastructure and third-party calls use provider keys the user chooses, a useful fit for teams that want to control where data and credentials reside.

Pricing

OpenGTM (self-hosted): free. The plan is open-source under AGPL-3.0 and runs on the user's infrastructure. There is no free trial because the product itself is free; third-party provider costs may apply. This suits teams prepared to supply and operate their own hosting. The trade-off is that the free price does not cover infrastructure or external provider usage.

There are no paid OpenGTM tiers described. Teams evaluating its cost should account for provider charges separately and can use workbook estimates and budget ceilings to manage paid calls.

Platforms

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

Production deployment requires operational care: the project checklist calls for production secrets, changed default passwords, TLS termination, and backups of both PostgreSQL and the data volume. Its security policy asks for vulnerability reports through GitHub or [email protected] and says maintainers aim to acknowledge them within 72 hours. OpenGTM is pre-1.0, and public multi-tenant hosting needs more work than a team-controlled Compose deployment. That makes it a better fit for internal team use than for operators seeking a ready-made public hosted service.

Who it's for

OpenGTM is aimed at go-to-market teams that want lead sourcing, enrichment, AI research, buying signals, and outbound automation in a workspace they operate themselves. It is especially suitable for teams comfortable with Docker and production maintenance, and for those that value control over data location and provider keys. Teams without infrastructure capacity, or those requiring mature public multi-tenant hosting, should look elsewhere.

Pros and cons

• Pros: Broad lead workflows combine sourcing, multiple enrichment types, cited agent research, signals, and activation destinations.
• Pros: Spend estimates and workbook ceilings give teams visibility and a way to limit paid provider calls.
• Pros: REST, webhooks, and an auditable MCP server with scoped access let agents and other tools work against the same workspace.
• Cons: Git, Docker Compose v2, and about 4 GB of RAM are required, so setup is more involved than choosing a hosted service.
• Cons: Provider costs can apply on top of the free software, and production security and backups are the operator's responsibility.
• Cons: Pre-1.0 maturity and the stated limits on public multi-tenant hosting make it a less suitable choice for teams seeking a mature hosted platform.

Alternatives

For a broader directory of data enrichment tools, see Data Enrichment Software.

Clay is a better fit for teams that want a freemium option with a trial and a defined free allowance of 500 actions and 100 data credits per month, plus unlimited seats and tables.

B2BEnrich may suit smaller projects that need person and company enrichment through an API or web app, with 50 free credits each month.

Coresignal is an API and web option for buyers looking for a paid data service with a free tier that includes 2,000 credits, 5 requests per second, a 7-day trial, and email support.

Diffbot offers API, self-hosted, and web access, with a free plan of 10,000 credits per month across four APIs and a limit of 5 requests per minute.

Elvesora Enrichment may fit teams seeking company enrichment through an API or web app, with a month-to-month $30 per month plan for 1,000 enriched company records.

People Data Labs is an API-based alternative for teams evaluating IP enrichment by credit tier.

PredictLeads is an API, self-hosted, and web option for teams whose main need is usage-based API calls.

TargetWise may suit users who want dashboard, API, and MCP access, with a free allowance of 20 work emails and 5 business-phone results.

Verdict

Choose OpenGTM if your team wants a broad, agent-accessible lead workflow and is prepared to host and maintain it. Its strongest case is the combination of enrichment, research, signals, activation, and controls in a workspace the team operates. Look elsewhere if you need a mature hosted product or cannot take on deployment, security, and backup work.