Two plans. No sales calls.
Free for small teams. Pro when you're ready to publish, automate, and ship faster. The first 25 customers on Pro get a founding price locked for 12 months.
Discover and monitor your event data with AI.
The full platform for teams shipping on event data.
Compare plans
| Free | Pro | |
|---|---|---|
| Seats | 5 | Unlimited |
| Workspaces | 1 | 5 |
| Connected repos | — | 5 |
| AI credits/month | 100 | 1,500 |
| Contracts | 10 | Unlimited |
| Discover | ||
| Warehouse discovery + profiling | ✓ | ✓ |
| AI-generated contract drafts | ✓ | ✓ |
| Basic validation monitoring | ✓ | ✓ |
| Implement | ||
| MCP server + API access | — | ✓ |
| Chat with Suky | ✓ | ✓ |
| Auto-PR code generation | — | ✓ |
| Jira + Linear issue creation | — | ✓ |
| Validate & alert | ||
| Slack + email alerts | ✓ | ✓ |
| Teams + PagerDuty alerts | — | ✓ |
| Publish to schema registries | — | ✓ |
| Check frequency | Every 15 min | Every 5 min |
| Violation history | 7 days | 90 days |
| Collaboration | ||
| Change requests | Self-merge | Approval workflows |
| Audit log | — | ✓ |
| Security | ||
| Roles (admin/editor/viewer) | ✓ | ✓ |
| Support | ||
| Community | ✓ | ✓ |
| Priority support | — | ✓ |
| Direct founder access (Founding 25 only) | — | ✓ |
Pay for AI. The platform is included.
AI assistant message or MCP operation
Schema questions, implementation guidance, debugging, AI coding assistant calls
Event implementation
SDK tracking code generated and proposed for one event
Auto-generated GitHub PR
Ready-to-merge PR that fixes a contract violation in your code
Everything else — contract management, schema validation, anomaly detection, health scoring, alerts, monitoring, integrations — is included at no credit cost.
Top-ups on paid plans: 100 for $20 · 300 for $50 · 1,000 for $120. Monthly credits reset each billing cycle. Purchased top-ups don't expire.
Root-cause investigation of a violation costs 3 credits; opening the fix PR is the 25 above. Every plan includes a monthly fair-use limit on AI usage that protects you from runaway costs — normal usage never gets close, and you'll be prompted to upgrade or top up well before it would.
Bad event data is the tax everyone pays and nobody owns.
of data professionals call poor data quality their top challenge — up from 41% two years earlier.
dbt Labs, State of Analytics Engineering 2024of a data engineer's workday is spent dealing with bad data.
Monte Carlo, State of Data Quality 2022suky detects schema violations in your warehouse — read-only SQL, no event data ever leaves — and routes the fix to Slack, GitHub, or your CDP. Your team stops doing data janitorial work.