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Feature · Upsolve Data Plane

Stripe, PostHog and HubSpot. One agent. Real SQL.

Connect hundreds of sources into one Upsolve data model, no warehouse required. Your agent writes real SQL across Stripe, PostHog, HubSpot, GitHub and your warehouse, with row-level security, instead of stitching MCP calls together.

Hundreds of sourcesNo warehouse neededCross-source SQL
Feature 07 of 14 · The Complete Agent Stack →
DATA PLANE · NEW DATA SOURCEQUERYABLE
Upsolve Data Plane catalog for adding a new data source, showing connectors such as Redshift, BigQuery and ClickHouse
01 / The problem

Your agent is matching Stripe and PostHog records in its head.

01

With one MCP per source, the agent combines results inside its context window, where mistakes happen.

02

You're limited to whatever each provider chose to expose through its MCP server.

03

MCP access is all or nothing per source, with no row-level security.

02 / How it works

From setup to production in three steps

01

Connect sources

Pick from hundreds of connectors: Stripe, PostHog, HubSpot, GitHub, Google and Facebook Ads, Sheets, CSVs, BigQuery and ClickHouse.

02

Model them together

Add the tables you need to one data model, then annotate and describe them.

03

Query with real SQL

The agent writes SQL across sources for deep, multi-year analysis you can verify.

03 / What changes

What changes with Upsolve Data Plane

Without Upsolve Data Plane

One MCP per source, with the agent matching records in its context window. That's where hallucinations start.

With Upsolve Data Plane

Sources land in one governed data model, and the agent writes real SQL across them.

04 / What you get

Everything that ships with Data Plane

CONNECT

Hundreds of connectors

Get an agent live on the tools you already use, before you invest in a warehouse.

QUERY

Cross-source SQL

Proper queries across sources, not in-memory guesswork.

CHOOSE

Your choice of tables

Expose exactly the tables and fields you want, not just what an MCP server offers.

GOVERNED

Governed by default

The same row-level security rules apply to every connected source.

05 / Where it fits

One layer of a closed learning loop

Upsolve builds the whole stack for data agents that stay accurate in production. Every conversation feeds the next improvement.

01
Ontology
Your data described clearly. Permissions enforced deterministically, not delegated to the agent.
This feature
02
Agent harness
Snappy, reliable, accurate. Learns from real interactions and updates its skills and memory.
03
Distribution
Your product, your Slack channels, Claude. Go where your users already are.
04
Improvement loop
Live evals on real usage find the gaps, then you harden the context to close them.
06 / The Complete Agent Stack

One of fourteen features in The Complete Agent Stack

See all fourteen features →
07 / FAQ

Common questions

No. The Data Plane lets you start with SaaS sources directly. It also works alongside BigQuery and ClickHouse.

Use MCP for actions and supporting context, like saving to Notion. Use the Data Plane for analytics you need to trust.

Yes. Data plane tables sit in your data model, so global and custom rules apply.

Can't find your answer? Get in touch.

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