AI native
MCP and CLI first
A plugin for ChatGPT and Codex, an app for Claude. Add sources, set alerts and debug a failed sync by asking. Every answer comes from the real log.
ELT and reverse ETL, run from your AI
Move your data for less. Run it from your AI.
Up to 70% less than Fivetran. Set it up from ChatGPT or Claude.
Compare against your current stack1M rows a month free. No card. SOC 2.See the prompt
Install the Extract plugin and create an Extract account for me. Then connect [my first source] and land it in [my warehouse] on an hourly schedule. When the first run finishes, show me the log.
Powering data teams globally
Up to 70% less than Fivetran. 500+ sources and destinations. 1M rows a month, free.
Published prices. Open logs. Run it by asking.
Cost
Cheaper to run
Priced on rows moved, published per tier. Unlimited sources and destinations. No monthly-active-rows surprise after a backfill.
Transparency
Nothing hidden
Every API call, query, retry and schema change, logged in the product and the API. When a sync fails, read what happened.
Reverse ETL
Both directions, one bill
Audiences and conversions back to Meta, Google, Salesforce and HubSpot. No-code mapping, PII hashed.
How it works
Connect
Account and credentials, from the chat or the UI.
Say what you want
"Land our Meta Ads account in BigQuery every hour." Done.
Let it run
Syncs run, logs write, alerts fire.
Use the dataEarly access
Query it in your warehouse, your BI tool, or Extract's analyst.
What you get
Set upby asking
Account, sources, connections and alerts, from ChatGPT, Codex or Claude.
Debugby asking
"Why did this sync fail?" answered from the log.
Healthat a glance
Connector status and recent failures, in the chat or the UI.
One log,whoever asks
Every call, query, retry and schema change.
Alerts andreverse ETL
Custom triggers to Slack, email or webhook. Activation to Meta, Google, Salesforce, HubSpot.
Connectorswe maintain
500+ sources and destinations, fixed by Extract when an API changes.
ChatGPT · Codex · Claude
Set it up, run it and fix it by asking.
Install Extract in ChatGPT, Codex or Claude. It creates the account, adds sources and connections, sets alerts and debugs failed runs, against your live workspace.
It only touches connections you configured, and only when authenticated. Read the full scope
Three things it does today
- Create a source for our Apple Search Ads account and land it in Snowflake hourly.
- Why did our Salesforce connection fail yesterday?
- Add a Slack alert when the Meta Ads sync runs longer than ten minutes.
Early access
Ask the data you just landed.
Ask in plain English. Get the table and the SQL it ran. You control what it can see and who can ask.
Ask about early accessYouWhat did we spend on Meta last week, by country, and how does it compare to the week before?
SELECT country,
SUM(CASE WHEN date >= DATE_TRUNC('week', CURRENT_DATE) - INTERVAL '7 days' THEN spend END) AS last_week,
SUM(CASE WHEN date < DATE_TRUNC('week', CURRENT_DATE) - INTERVAL '7 days' THEN spend END) AS week_before
FROM meta_ads_daily
WHERE date >= DATE_TRUNC('week', CURRENT_DATE) - INTERVAL '14 days'
AND date < DATE_TRUNC('week', CURRENT_DATE)
GROUP BY country
ORDER BY last_week DESC;| Country | Last week | Week before |
|---|---|---|
| US | $48,210 | $44,905 |
| DE | $12,480 | $13,102 |
| GB | $9,764 | $9,110 |
Who runs on Extract
For teams with a warehouse: Snowflake, BigQuery, Databricks, ClickHouse or Redshift.
By team
- Data teams. Connectors we maintain, logs you can read.
- Marketing. Spend, installs and revenue in one table. Audiences back to Meta and Google.
- RevOps. HubSpot and Salesforce into the warehouse, the report back out.
- Finance and operations. Revenue, refunds and spend on a schedule, readable from Power BI or Tableau.
- Small teams. 1M rows free, run from ChatGPT or Claude, same pipeline as the enterprise plan.
From the chat
- Set up. "Add Apple Search Ads, land it in Snowflake hourly."
- Triage. "What failed overnight and why?"
- Alert. "Tell me in Slack if any connector misses two syncs."
- Check. "Which connectors have not synced in six hours?"
- Activate. "Map the high-LTV cohort to Meta CAPI, hash the PII."
Switching
- From Fivetran. Same warehouse, same tables. Run both for a cycle, cut over. Up to 70% less.
- From Airbyte. Keep the visibility, drop the on-call.
- From Stitch. Stitch is becoming Qlik Talend Cloud. Migrate once, on your schedule.
- From Zapier or Make. They move one event at a time. Extract lands the whole table.
Extract vs. the competition
Row by row against the tools you would otherwise use.
| FEATURE |  | Fivetran | Airbyte | Stitch (Qlik) |
|---|---|---|---|---|
| Pricing | Rows moved, published tiers | Monthly active rows | Credits, discounts via sales | Rows, tiered |
| Run it from your AI | Plugin for ChatGPT, Codex, Claude | MCP server, API-key setup | MCP server, API-key setup | No |
| API call and query logs | Live, in product and API | Not in product | Job status only | Split extract and load |
| Schema change log | In product and API | Not in product | Varies | In product |
| Alerts | Custom, to Slack, email, webhook | Basic | ||
| Reverse ETL | Built in | Separate product | No | No |
| Connector maintenance | Extract | Fivetran | Community, mostly | Qlik |
500+ connectors.Unlimited on every plan.Maintained by Extract.
Ad networks, app stores, MMPs, CRMs, databases and warehouses.
Don’t justtake it from us
Extract really frees up our time to take on more tasks that otherwise we wouldn’t have the capacity to handle, which is where the bread and butter lies for us.
We also evaluated Salesforce’s Datorama, but Extract kept it simpler and easier. We need the data to be pulled and customized, and I can do that without the need for a Data Engineer.
Have questions?
Contact our sales team to discuss enterprise pricing or explore the best plan for your needs.
Contact salesManage it from where you already work.
Add Extract to ChatGPT, Codex or Claude and land your first table today.
No card. SOC 2.