Tenet discovers metrics from your data stack, reviews and publishes them, and delivers canonical definitions to Slack, AI agents, APIs, and your whole team.
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Connect your dbt project or data warehouse. Tenet scans your metric tables and drafts definitions automatically. Not there yet? Describe your company and AI onboarding drafts a starter catalog you can build on.
Every metric moves through draft, review, publish, and deprecate. Every change is logged and conflicting definitions get flagged before they spread. No more stale KPIs — no more “wait, which version are we using?”
Published metrics become a canonical catalog with natural-language search and full context: formula, ownership graphs, lineage, and assumptions. Your team self-serves every definition. Your analysts stop answering the same questions.
The same trusted definitions reach Slack, AI agents, REST APIs, and embeds. Your agents stop making up numbers, your dashboards stop drifting, and every surface returns the same answer.
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{
"id": "kpi-mrr"
}
{
"name": "Monthly Recurring Revenue",
"abbreviation": "MRR",
"status": "published",
"definition": "Total predictable revenue from
active subscriptions, excluding one-time charges.",
"formula": "Monthly subscription revenue
+ (Annual subscription revenue / 12)",
"sql": "SELECT SUM(CASE WHEN
billing_period='monthly' THEN amount
WHEN billing_period='annual' THEN
amount/12 END) AS mrr FROM subscriptions
WHERE status='active'",
"owner": {
"name": "Sarah Chen",
"role": "VP Finance",
"team": "Finance"
}
}
{
"id": "kpi-mrr",
"name": "Monthly Recurring Revenue",
"abbreviation": "MRR",
"category": "financial",
"status": "published",
"definition": "Total predictable revenue...",
"formula": "Monthly subscription revenue + (Annual subscription revenue / 12)",
"sql": "SELECT SUM(CASE WHEN billing_period='monthly' THEN amount WHEN billing_period='annual' THEN amount/12 END) AS mrr FROM subscriptions WHERE status='active'",
"owner": {
"name": "Sarah Chen",
"role": "VP Finance",
"team": "Finance"
},
"consumers": 12,
"tags": ["revenue", "saas", "subscription"]
}
Genuinely ambiguous metrics, instantly untangled.
The operating layer between your data infrastructure and every metric consumer.