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Nightshift

Query

Query your data, however you work.

People open a notebook and write SQL, agents query over MCP, and apps read through the SDK, all over one governed catalog. Warehouse-grade analytics with no warehouse to run, and every read shaped to who is asking.

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Revenue by region · Notebook
[1]3 rows · 41 ms
select region,
       sum(net) as revenue,
       count(*) as orders
from orders
where status = 'paid'
group by region
order by revenue desc
EMEA€4.28M1,284
AMER€3.11M902
APAC€1.64M511

One notebook over the governed catalog. People run it here; agents run the same query over MCP.

A real query engine

The speed of a warehouse, without the warehouse.

Each query runs at the edge of your source, where the data already lives, so the heavy work happens with no cluster to provision and no second copy to keep warm. Warehouse-grade results come back fast enough to sit inside a person's train of thought, or an agent's loop.

  • Queries run at the edge of your source, with no cluster to stand up
  • Views, snapshots, and time travel, the analytics features your team expects
  • Each query is sandboxed, so its cost and load stay isolated from the rest
arr_by_regionat the edge0.41 s · no cluster
at sourcescanned and aggregated9.8M rows
over the wirereturned to the agent312 rows
The filter and the sum ran where the data lives. Only the result crossed the wire, with no warehouse in between.

Add it over MCP

One server. Every agent you run.

Point your agent at the Nightshift MCP server and the catalog appears as a tool. No SDK to adopt, no per-agent integration to maintain, and the scoped token decides exactly what it can see. Pick your client for the exact install.

Claude Code

Add the server with one command.

terminal
claude mcp add nightshift \
  --url https://mcp.nightshift.sh

The catalog appears as a tool. Every request it makes is shaped by your policies before a row is returned.

Build on it

Ship a data app on the same catalog.

When a query deserves a front end, build a dashboard on the Nightshift SDK. It reads through the same governed catalog, gets its own URL and auth, and shows each viewer only what they are cleared to see. Hosted, live, and shareable.

  • A hosted app with its own URL and auth
  • Reads the same governed catalog as people and agents
  • Nothing renders that policy would not allow
Revenue by regionLiveshared

Net revenue · 24h

€4.28M

EMEAAmericas

Customers

1,284

EMEA share

38%

Avg contract

€61k
A data app on one governed endpoint · hosted, shareable, recorded

What you get

Analytics your whole team can use.

Live, not stale

Every query reads the source, so people and agents see the current state, not a copy that drifted overnight.

Cheap by design

Queries run at the edge with no warehouse to provision, so volume never turns into a compute bill, even the thousands an agent runs.

Governed by default

The same identity-aware grants shape every response, so querying live never means loosening control.

The rest of the product

Nightshift Console

Connect sources, query in notebooks or over MCP, and govern every read from one place.

Learn more

Nightshift Fiber

The typed React API for building governed data apps on your catalog.

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Connectors

Register any source and expose it as a governed catalog.

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Policy

Allow, deny, and mask down to the row, scoped to identity.

Learn more

Query your data in minutes.

Start free, open a notebook, and run your first query. Add Nightshift over MCP and point an agent at the same catalog whenever you are ready.

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