Data Agent

The analyst seat you never filled.

Like having a data analyst on speed-dial — except this one remembers every answer, runs itself every Monday, and costs less than your coffee budget.

Try free with your data See how it works

Four people, four questions, one afternoon.
Scroll to read.

Morning09:12
Lena
"Why did signups drop on Tuesday?"
Drop sourcemobile web
Report
Lunch13:04
Daniel
"Which SKUs lost the most margin this week?"
Top dropOat Milk
Dashboard
Afternoon15:40
Sarah
"Rerun last month's analysis on this client's data."
Reruns12 clients
Script
Evening19:58
Marco
"Ping me if any freezer goes above −15°C overnight."
Sensors42 monitored
Watch
Four people

Four afternoons. Same Data Agent.

Each of these people asked Tablize one question they actually care about. Each got an answer they could use — and something that kept working after they closed the tab.

09:12 · Morning
Lena
Indie developer
shipping her second SaaS

Lena opens her laptop and sees signups were flat all day Tuesday. She has no analytics team, no SQL chops in a hurry, and no time to hunt across Mixpanel tabs. She opens Tablize and asks.

What she keptA weekly "Signup health" report that runs itself every Monday morning.
lena's workspace
Tuesday · 09:12
Lena
Why did signups drop on Tuesday?
postgres · events table · last 14 days
Tablize
✓ sql.query · signups by hour × source 318 ms
✓ python.analyze · anomaly detection vs 14d baseline 692 ms
Signups fell 38% on Tuesday vs the prior week. The drop is concentrated on mobile web — desktop and the iOS app are unchanged. The drop starts at 08:45 and recovers around 16:20.
Mobile web
−61%
Desktop
−4%
iOS app
+1%
One referrer — a Product Hunt launch — stopped sending traffic during the same window. Likely their link was broken.
13:04 · Lunch
Daniel
Operations lead at
a 7-person DTC brand

Daniel's revenue is up this week but his accountant says margin looks off. He doesn't have time to rebuild the pivot. Tablize already has a live connection to Shopify and Stripe.

What he keptA margin dashboard pinned to his team's Notion, updated live.
ops · harvest co.
Tuesday · 13:04
Daniel
Which SKUs lost the most margin this week?
shopify + stripe · live
Tablize
✓ sql.query · joined orders × products × refunds 421 ms
Three products account for $8,420 in lost margin vs last week. All three are tied to a fulfillment batch that shipped to the wrong zone on Tuesday.
SKUProductMargin Δ
SKU-1047Oat Milk, 1L−$4,120
SKU-0912Cold Brew−$2,640
SKU-2238Matcha, 50g−$1,660
15:40 · Afternoon
Sarah
Independent data
consultant

Sarah has twelve clients a month. Each one gets roughly the same analysis — cohort retention, LTV, feature adoption — but on different data schemas. She did it the hard way once. Now Tablize reruns it.

What she keptA reusable script. First client took 30 minutes. The next took 5.
client · mercato
Tuesday · 15:40
Sarah
Rerun last month's cohort analysis on this client's Mercato data.
mercato_events.csv · 104,211 rows
Tablize
✓ script.run · cohort_retention_v3 1.8 s
Rerunning the Cohort retention v3 script from last month on the Mercato dataset. Schema auto-mapped with one adjustment: their user_signup column maps to signup_ts.
CohortWeek 1Week 4Week 12
Jan100%62%41%
Feb100%68%44%
Mar100%71%—
Retention is improving month over month. The biggest lift is at week 4 — the onboarding changes they made in February are visibly working.
19:58 · Evening
Marco
Night ops manager at
a cold-chain warehouse

Marco's freezers hold product that goes bad if temperature climbs for more than 30 minutes. He has 42 sensors on MQTT. He used to check them manually. Now Tablize watches while he sleeps.

What he keptA watch that pings him on Slack if any sensor crosses the line.
ops · night shift
Tuesday · 19:58
Marco
Ping me if any freezer goes above −15°C overnight.
mqtt · 42 sensors · cold_room/#
Tablize
✓ iot.list_sensors · 42 devices found 204 ms
✓ watch.create · cold_chain_alert 112 ms
Watch created. I'll check every minute from 20:00 to 07:00. If any sensor in cold_room/# reads above −15°C for more than 5 minutes, I'll ping you on Slack with the sensor ID, the temperature trend, and the last reading that was inside the safe range.
Watch · cold_chain_alert
Active · fires on: cold_room/*/temp > -15 for 5m
The loop

Four different people. One loop.

Every Tablize session follows the same three beats. It doesn't matter if you're analyzing a spreadsheet, debugging a funnel, rerunning a client script, or watching a warehouse.

01

Connect

Drag in a file, paste a database URL, plug in an API, or point at an MQTT feed.

02

Ask

In plain English. Tablize writes the SQL, runs the Python, and explains the answer in a way you can read.

03

Keep

Save the answer as Report, Script, Watch, Dashboard, or App. None of it gets thrown away.

What you can ask

The words people actually use.

Analyze
Retention by signup month
Why did conversions drop Tuesday?
Clean this CSV and tell me what's off
Automate
Every Monday, email me this report
Re-run this on next month's data
Turn this into a reusable script
Build
Build a CRUD admin for the users table
Make a dashboard for my team
Let non-technical people explore this
Watch
Ping me if refund rate goes above 3%
Alert me if any sensor reads > 30°C
Watch this SKU for the next 48 hours

Whatever you'd hire a data analyst to do, you can ask Tablize to do.

What you keep

Every answer becomes an asset.

Most AI data tools give you an answer and forget it. Tablize turns the good ones into things that keep working for you.

Report

A written answer

Markdown with charts. Shareable link. Next week's version starts from this one.

Script

Rerunnable logic

The code behind the answer, runnable on new data with one click — or on a schedule.

Watch

A recurring check

Silent when fine. Loud when it moves. Pings you where you want it.

Dashboard

A live view

Share with your team or embed it in Notion. Updates on its own.

App

A mini-tool

A real CRUD panel non-technical teammates can use without asking you.

Any data

From spreadsheets to sensors — one workspace.

Tablize reads the data you already have, wherever it lives. You don't need to move it first.

Spreadsheets
  • CSV · XLSX
  • Google Sheets
  • Notion DBs
Databases
  • Postgres
  • MySQL
  • Supabase
  • SQLite
APIs
  • REST · GraphQL
  • Webhooks
  • Custom auth
Devices & cameras
  • MQTT sensors
  • IP cameras
  • RTSP feeds

Most data tools stop at your database. Tablize also reads the physical world — because sometimes "why did the order go wrong" lives on a warehouse camera, not in Postgres.

Why different

Not another chatbot. Not another notebook. Not another dashboard.

Compared toTheir approachTablize
ChatGPT with CSVs
one-shot upload		 One answer, then forgets your data. No automation, no reruns. A persistent workspace. Save scripts, schedule reports, build watches. Ask follow-ups next week.
Jupyter / DuckDB
notebooks, SQL clients		 You're still writing the code yourself. You're asking in English. The code is a side effect you can still edit.
Metabase / Looker
BI dashboards		 Dashboards first. You build the question into the tool. Answers first. The dashboard is one way to keep a good answer.
Zapier / n8n
workflow automation		 You design the workflow upfront. You ask a question — Tablize picks the steps it needs.
Pricing

Start free. Keep what you use.

Drop in a spreadsheet and get your first answer in minutes. No card, no setup, no watches to configure.

Free
$0
Free to try

"Just answer my question"

  • Upload CSV / XLSX
  • Full agent, not a demo
  • Enough tokens to finish one real question and follow-ups
  • Shareable link to the answer
  • Data discarded at session end
Try free
Plus
$20
per month

"Keep my answers"

  • Everything in Free
  • Connect Postgres, MySQL, APIs
  • Save Reports & Scripts
  • Weekly scheduling
  • 5 GB persistent storage
Start Plus
Recommended
Pro
$60
per month

"Automate + watch"

  • Everything in Plus
  • Unlimited Watches
  • MQTT / IoT devices
  • Camera & video feeds
  • Python analytics runtime
Start Pro
Max
$200
per month

"Run our data stack"

  • Everything in Pro
  • Multi-site Federation
  • Scheduled briefs (Business Agent)
  • Priority compute
  • Audit logs
Learn about Max
Get started

Be the fifth person in the story.

Drop in a CSV. Ask the first question you'd ask a data analyst. See what comes back — and what you'd want to keep.

Try free with your data For teams →