Internal · Invite-only

Know what every Miinto metric means — and ask for the numbers.

Canonical definitions, column-level lineage, and threaded answers for every number, table, and column at Miinto. Plus live Power BI through Claude when docs aren't enough. One layer your whole team can trust.

Sign-up is invite-only. Ask the BI team for an invitation link.

metrics.miintolabs.com
what is our true gmv?12 results
AllMetricsVariantsTablesColumnsdbt
gmv
Parent metric
human verified

Gross merchandise value: total order value sold via Miinto, excluding VAT, before any rejections.

GMV EURGMV EUR LYGMV Local+5 variants
GMV After Rejections
GMV minus rejected order value
contested
Marketing.GMV EUR
Variant of GMV · in Marketing dataset
verified
marts.fct_orders.gross_value_eur
dbt column · 4 PBI columns downstream
dbt

Stop debating the numbers.

Verified definitions, column-level lineage, drift alerts, threaded answers, and live Power BI through Claude — one layer the BI team curates and the whole company can rely on.

Canonical definitions

One business definition per metric. No more 'which GMV is the right one?' — there's one source of truth, with verification states and an audit trail.

gmv
Parent metric
human verified

Gross merchandise value: total order value sold via Miinto, excluding VAT, before any rejections. Currency is the dataset's currency unless the variant says otherwise.

GMV EURGMV EUR LYGMV Local+5 variants

Variant tracking

Same calculation, different currency or period. All linked to one parent.

gmvparent
GMV EUR·verified
GMV EUR LY·verified
GMV Local·verified
Marketing.GMV·verified
Finance.GMV·draft

Drift alerts

When two implementations of the same metric disagree, the system raises an alert.

DAX drift detected
Marketing.GMV ≠ Finance.GMV
open
Definition stale
rejection_rate · 90d unverified
stale

Threaded Q&A

Ask anything on any element. Mark-accepted-answer. Searchable forever.

ME
Mads
2d ago
What is the difference between Order Created Date and Transaction Date?
MA
Mythili
accepted
Order Created Date is when the customer placed the order. Transaction Date is when the event happened — order, rejection, or return — so it's the one to use for financial reporting.

Curate from Claude

Curate metrics from any Claude client using the built-in admin CLI and MCP server. Plain English in, audit trail out.

~/miinto
$ miinto-admin metrics verify gmv
→ fetching draft definition…
→ ✓ DAX hash matches across 4 datasets
→ marked gmv as human_verified
$

Miinto Metrics MCP Server

Live Power BI data through Claude — not just documentation. Ask in plain English; the MCP runs the right query against the verified metric and Claude answers with real numbers.

U
What was GMV by market in April?
query_powerbi(metric=gmv_eur, group_by=market, period=2026-04)0.4s
Result · 3 rowslive
DK
€1.42M
NL
€0.98M
DE
€0.71M
AI
€3.11M total — DK led at €1.42M. verified metric
Lineage

From Power BI back to the source row.

Every column on every dashboard traced to its dbt model — through staging, marts, and renames. So when a source changes, you know exactly what breaks before you ship the change.

  • pass-through, rename, and transformation edges classified per hop
  • Power BI workspaces linked to dbt models — every Miinto workspace covered
  • Blast-radius queries via recursive SQL — find every downstream column in milliseconds
dbt
raw.orders.value_eur
stg_orders.amount_eur
fct_orders.gross_value_eur
Power BI
Marketing.GMV EURverified
Finance.GMV EURverified
Operations.GMVcontested
pass-throughrenametransformation

How it works

One trusted layer, three ways in: a web app for browsing and discussion, an MCP server for asking Claude in plain English, and an admin CLI for the BI team. dbt and Power BI feed it.

STEP 01

Ingest

Paradime pulls the dbt manifest. Power BI scans every Miinto workspace. Three pipelines, scheduled and event-chained.

STEP 02

Curate

BI team reviews stubs, links variants to parents, verifies definitions. Every change goes through an audit trail.

STEP 03

Use

Search the panel. Ask in Claude. Trace lineage. Discuss in threads. Same data, same answer, every time.

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