Machine-readable ✓ llms.txt ✓ agents.json ✓ MCP endpoint OpenAPI spec
 
DataLabs.store · AI Context Bridge

Your HubSpot dashboards answer the questions you knew to ask.
DataLabs.store is for every other one.

Pipeline weighted by each rep's real close rate. Forecast odds checked against what actually closes. The deep analytics that need a relational engine — answered in plain English through Claude or ChatGPT, on your desktop or your phone, with the query to prove every number.

WITH win_rate AS (SELECT owner, SUM(won)*1.0/COUNT(*) AS wr FROM Deal GROUP BY owner) SELECT d.owner, SUM(d.amount)*wr.wr AS weighted FROM Deal d JOIN win_rate wr ON wr.owner = d.owner GROUP BY d.owner, wr.wr HubSpot's report builder: no aggregate-of-aggregates — can't compute a rep's win rate, then reweight their pipeline by it, in one report. DataLabs.store: one query — Castillo's $7.6M pipeline drops to $1.1M once weighted by his real 14% close rate.
The analytics your team has been asking for
#1 → #7
Pipeline weighted by close rate

The top rep by raw pipeline ($7.6M) is seventh once weighted by his real 14% close rate. A rep ranked seventh on raw pipeline tops the weighted board at $3.2M by closing 91% of what she touches.

10% → 0%
Forecast calibrated to your history

A stage configured at 10% probability has a real win rate of 0% across 106 deals. Four data points from your own history — a more accurate forecast number immediately.

72% / 93%
Revenue and logos tell different stories

Enterprise is 72% of your logos but 93% of ARR. A logo dashboard and a revenue dashboard look completely different — both are true.

The difference isn't the AI. It's what the data layer lets it do.

It isn't a new AI to learn — it's the data layer under the Claude or ChatGPT you already use, on your desktop or your phone.

HubSpot Breeze

Breeze handles operational questions on a single object beautifully, and even generates SQL for its reports. For analysis that spans several objects — joins, CTEs, window functions, weighted ratios — a report reads one object at a time, so it stitches separate results together rather than joining them.

Two reports, correlated by eye — not joined in a database.
Claude + DataLabs.store

Your portal replicated into real SQL. The AI writes the join, runs it on live data, explains the result — and shows you the query — then follows up the moment you do.

The full leaderboard, in under ten seconds.
See in Action
Prefer the raw database?

DataSync for HubSpot to SQL Server

The same full replication, delivered as a Microsoft SQL database you own — wire it straight into Power BI, Looker, or Excel. The AI Context Bridge is built right on top of it.

Explore DataSync