Enrich Layer vs OpenGTM
Enrich Layer
enrichlayer.comOpenGTM
github.comSide by side
| Figure | Enrich Layer | OpenGTM |
|---|---|---|
| Price from | $49/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 10 | 2 |
| Spec score · Data Enrichment Software | 9.0 (#1) | 8.4 (#11) |
| Integrations | Live integrations include Zapier, self-hostable n8n, Clay, Workato, Pipedream, Node-RED, MCP, OpenClaw and Salesforce. | Documented destinations include HubSpot, Salesforce, Slack, Google Sheets, Airtable, Instantly, Smartlead, webhooks, warehouses, and consent-gated ad audiences. |
| Product | Enrich Layer describes itself as a fully managed data enrichment layer for B2B applications. | OpenGTM is an open-source, self-hosted workspace for GTM teams and their agents. |
| Security controls | The privacy policy describes encryption, access controls, firewalls, intrusion detection, vulnerability scanning, penetration testing, training and incident-response procedures, while saying SOC 2 is under consideration. | The security model documents short-lived access tokens, rotating refresh tokens, fail-closed PostgreSQL row-level security, URL SSRF filtering, encrypted workspace credentials, and hashed MCP tokens. |
| What it does | Enrich Layer is a managed API that returns structured information about people, companies, jobs, contacts and web signals. | OpenGTM is a self-hosted workspace for sourcing leads, enriching records, researching accounts with AI, monitoring buying signals, and routing results to sales tools. |
Plans
Enrich Layer
- PAYG $10$10, paid once
- PAYG $50$50, paid once
- PAYG $100$100, paid once
- PAYG $500$500, paid once
- Starter$588 a year
- PAYG $1,000$1,000, paid once
- Growth$3,588 a year
- Pro$10,788 a year
- Ultra$22,788 a year
- Enterprise$24,000 a year
In their own words
Enrich Layer
Enrich Layer is a managed data-enrichment service for B2B applications, returning company, people, job, and web-signal data in a consistent JSON response. Its People API can enrich public profiles or identify people from an email or name, with details such as work history, education, skills, and contact fields. REST endpoints use JSON requests and responses, with searches by name, domain, or keyword. Other listed enrichment types include contacts, schools, search, and web and SEO signals. The service has live integrations including Zapier, n8n, Clay, Workato, Pipedream, Node-RED, MCP, OpenClaw, and Salesforce; several other integrations are marked as coming soon. Enrich Layer says it uses public sources and does not collect information behind login walls. Trial credits allow real API calls without a card. Pricing includes one-time credit packs from $10, paid once and annual subscriptions; the pricing FAQ says monthly and annual plans carry a 12-month commitment, with an early cancellation fee for remaining months. API limits are 300 requests per minute, up to 1,500 in a rolling five-minute window.
OpenGTM
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.