Focused first deployment
$750 / month
For one team, one warehouse connection, and a defined set of governed metrics.
- Up to 50 governed metrics
- Metric registry and ownership
- Approved SQL and version history
- Basic approval workflow
The metric control plane for AI-era analytics
Metric
Canon.
One approved definition for every number — wired into every dashboard, report, and AI tool. Resolve metric conflicts in minutes, not days, before they reach the board.
MC-007 · MCP gateway
Live // Audited
247 req/min
Companies using MetricCanon
01 / The premise
The dashboard is not the problem.
Dashboards fail when the business has not agreed on one approved definition, one approved SQL path, and one owner for the metric.
01 · Conflict
Executives see different numbers.
The same metric is reported with different filters, grains, joins, and date logic across teams.
02 · Rework
Analysts become the memory layer.
Definitions live in old SQL, dashboard tabs, tickets, notebooks, and informal explanations.
03 · AI risk
Bad logic now moves faster.
Once AI tools connect to data, unapproved logic spreads with more confidence than any dashboard.
02 / Control plane
One official path into every number.
MetricCanon gives each critical metric a business definition, SQL contract, owner, approval status, version history, lineage, and controlled AI access policy.
MC-018 · Conflict detection
Official // Controlled
Prod view
03 / Operating model
Approve the logic before it reaches leadership.
MetricCanon does not replace the warehouse or BI stack. It controls which metric logic is official, who can change it, and which downstream tools may use it.
01 · Register
Define the metric.
Business meaning, approved SQL, grain, date logic, required filters, owner, source tables, and reporting status.
02 · Review
Approve changes.
Every change carries reviewer, reason, before logic, after logic, status, and version history.
03 · Expose
Control consumption.
Dashboards, reports, CRM chatbots, and AI tools use approved definitions while unapproved logic is flagged.
MC-001 · Metric registry
Official // Versioned
Registry
Without MetricCanon
- No clear owner for metric logic.
- SQL copied across dashboards and reports.
- Metric changes happen without review.
- AI answers from whichever table it finds.
With MetricCanon
- Official definitions are owned and approved.
- Conflicts surface before leadership sees them.
- Every change has history and accountability.
- AI answers only from approved business logic.
04 / Proof
When the metric arguments stop.
The value is not another report. The value is knowing which number is official before it reaches a decision maker.
MetricCanon gave Finance and Sales one place to settle definitions before leadership saw conflicting numbers.
Our AI assistant stopped guessing at tables. It now answers from approved metric logic with clear ownership.
The conflict queue showed which dashboards still used old SQL. That changed how we manage reporting.
05 / Pricing
For teams that need the number right the first time.
Start with the metrics leadership relies on most. Define official logic, assign ownership, and expose governed answers to reports and AI.
BI, Finance, and Revenue
$2,500 / month
The core deployment for teams governing metric logic across reporting and AI access.
- Up to 250 governed metrics
- Approval workflow and audit trail
- Conflict detection across definitions
- MCP server for approved AI access
Company-wide control
$7,500+ / month
For organizations governing critical reporting logic across departments, tools, and AI entry points.
- Multiple data sources
- Advanced permissions and audit exports
- Private deployment options
- Dashboard trust scoring
06 / Common questions
The questions every data leader asks first.
Short answers to the four things buyers ask before they'll consider another tool in the stack.
Does this replace our warehouse or BI tool?
No. MetricCanon sits between your warehouse and your tools. Snowflake, BigQuery, Databricks, Tableau, Looker, Hex, Notion, ChatGPT, and Claude keep working — they just stop inventing SQL and start returning the approved answer.
How is this different from a data catalog?
A catalog documents what exists. MetricCanon controls what becomes official. Catalogs describe; we approve, version, lock, and gate access. Many of our customers run both — the catalog as the inventory, MetricCanon as the source of truth for what's allowed to ship.
Where does our data sit?
MetricCanon does not store your warehouse data. We store metric definitions, SQL contracts, approval history, and access policies. Read-only by default. SSO + SAML, scoped keys per agent, audit log of every call. Private VPC and BYOC deployments available on the Business plan.
How fast does a pilot actually deliver value?
Week one: we resolve one real metric conflict you bring to the kickoff. Week two through six: register the top 20–50 metrics your leadership relies on, route AI tools through the gateway, score your most-trusted dashboards. After that, governance scales horizontally — most teams hit company-wide coverage by week ten.
07 / Pilot scope
Launch a controlled metric pilot.
- 01Approve the top executive metric definitions.
- 02Attach SQL contracts, owners, caveats, and change history.
- 03Flag conflicting definitions before they reach reports.
- 04Expose governed answers to dashboards, CRM, and AI tools.