data-intelligence · agent
Driftnote
11 h/mo saved
Included in Growth · $990/mo
data-intelligence · tool
A warehouse answer in English, with the SQL attached, in the time it takes to type the question
12 h/mo
Saved
35 min
Setup
7
Systems touched
40
Credits per run
$490
Perpetual single-workspace license · Band 1 · Utility
Or included in Growth at $990/mo, along with everything else that tier carries.
03 — Proof
The hours and the setup time are catalog math at a stated volume. Production telemetry is not published yet, and nothing here pretends otherwise.
Catalog math
24 warehouse questions/month × 35 min to write SQL, run, and paste (14h), minus ~2h of remaining grain/join review
Run telemetry
04 — What it does / 5 outputs
05 — One run
No sandbox on this page yet. This is the real input and output contract from the record, not a demo recording.
In
Out
06 — How it works / 35 min setup
01
Connect Snowflake and BigQuery
Scoped authorisation, revocable from your IdP or the dashboard.
02
Point it at the work
Read-only warehouse credentials, optional Looker/Metabase metric map.
03
It runs
Result table — on a trigger or a schedule, 35 minutes after you start.
07 — Features / 7 listed
08 — Data
| Input | Output |
|---|---|
| Read-only warehouse credentials | Result table |
| optional Looker/Metabase metric map | SQL |
| question text | assumed grain |
| row/timeout caps | run log |
| optional Sheet export |
09 — Integrations / 7 systems
10 — The money
Two numbers: the hours this product removes at the catalog's stated volume, and the cost of an hour, which only you know.
12
You type this one. We do not know what an hour costs you.
Recovered per month
$600
12 h × $50 an hour, before the credits a run spends.
Where the hours come from: 24 warehouse questions/month × 35 min to write SQL, run, and paste (14h), minus ~2h of remaining grain/join review.
11 — Pricing
One-time
$490
Per run
40 credits
$0.80 a run at the Starter rate of $0.0200 per credit, less on every tier above it.
Credit class: standard
Every run carries a published hard ceiling. A run that hits it stops and re-quotes instead of billing on.
12 — Packs / 1 pack
Monday’s one-pager for people who will not open Looker
Topsheet's own key features name the pre-board appendix as "last month vs Pipeshade/Stripe actuals when connected", so the forecast with its visible haircut is a stated part of the packet.
The "what broke" half of the page is a KPI break with the cut that moved and a tracking-suspect flag, which is Driftnote's output verbatim.
"What moved" is only meaningful in the cut the company runs on, and Cohortcut rebuilds retention, LTV and segment cuts from Stripe with a definition checksum and a diff against last run.
The decision list rolls forward week to week and each entry needs an owner, which is Actionline's rule — no task written without a named owner, everything else to the exception list.
Included in Enterprise · from $7,500/mo
13 — Security
You type or upload into our app. Data lands in our region, is processed there, and the results stay in our app until you export them or a connected write-back exists.
Run payloads are kept for your workspace retention window — 30 days by default on Starter and Growth, 90 on Scale and Enterprise, with zero retention available on Enterprise.
14 — Customers
15 — Detail
The queue is not “we lack data.” It is twenty Slack messages a month to the one person who can join Stripe invoices to the customers table without double-counting. The requestor waits, rebuilds a worse version in Sheets, or ships a number from memory into a customer email. The analyst’s 35 minutes is real work: find the grain, remember the refund flag, run, paste, explain why last month’s figure does not match Looker.
Tableside is a hosted ask box on a read-only warehouse connection (Snowflake, BigQuery, or Postgres). You type the question; it returns a result table, the SQL, and the grain it assumed. Saved questions become a library so “refund rate by plan, Q2 starts” is not rewritten from scratch. If you have Looker or Metabase metrics, it prefers those definitions over a fresh join.
It is not a semantic layer and it will not invent one. A fluent wrong join is worse than a SQL error — that is why the SQL is always attached and why a human still confirms grain on anything that leaves the building. It will not write to the warehouse. If you already have self-serve Looker with certified Explores and people use them, skip this. Buy it when the certified Explore exists and the questions still land on one inbox.
16 — Questions / 5 answered
Read-only warehouse credentials; optional Looker/Metabase metric map; question text; row/timeout caps. Nothing else is collected for a run.
35 minutes. Runs on nox.markets. You authorise Snowflake, BigQuery, Postgres, Looker, Metabase, Google Sheets, Slack once.
$490 once — band 1, Utility. Runs still spend credits. It is also included in the Growth plan at $990/mo — buying it outright is the way to keep it after a plan ends.
Result table; SQL; assumed grain; run log; optional Sheet export.
24 warehouse questions/month × 35 min to write SQL, run, and paste (14h), minus ~2h of remaining grain/join review
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18 — Collections / 1 shelves
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