Analyze→Run→Track

One loop for your
whole data stack.

datavessel connects GA4, Search Console, Shopify, Shopware, Slack and more as typed tools — then analyzes your data, runs the work, and tracks what changes. On autopilot, or with your approval.

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Bring your own AI key · No credit card

AnalyzeRead every source
RunAct through tools
TrackWatch over time
datavessel

The ART loop

Analyze. Run. Track.

Two products became one idea. Everything datavessel does is a single loop — and you decide how much of it runs on its own.

A

Analyze

Understand what's happening.

Connect your sources and ask in plain English. datavessel reads across GA4, Search Console, Shopify, Shopware, Slack and more, and answers with the numbers behind it — not a dashboard you have to decode.

R

Run

Do something about it.

The same connections expose write tools, so the model can act: publish a page, fix product copy, create a discount, post a summary to Slack. Every change to the outside world runs on autopilot or waits for your approval.

T

Track

Keep watch over time.

Put any of it on a schedule. Agents monitor what changes week over week — including how ChatGPT and Claude recommend you — and send a short report when something moves, instead of leaving you to check.

What are we working on today?

mcp.datavessel.io

Built on MCP

Every source becomes a tool.

datavessel speaks the Model Context Protocol. Connect a source in the app and it shows up as typed, versioned tools your model can call — reads and writes alike. Use them from Claude Desktop and Mobile, or let datavessel's own agents run them.

See every tool
Google Analytics 4
Search Console
Google Ads
Shopify
Shopware
WooCommerce
WordPress
HubSpot
Meta Ads
Slack
LinkedIn
Web search & memory

80+ typed tools today, discovered by your client at connect time — new sources light up automatically.

You hold the wheel

Autopilot, or approve every write.

Reads always flow freely. The moment an agent wants to change something in the outside world — update a product, publish a page, post to Slack — it pauses and asks. Approve it, deny it, or switch on autopilot and let it act. The run suspends and resumes exactly where it left off, so nothing happens that you didn't allow.

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Reads — always run

get_search_performance
get_orders
datavessel_analyze_content

Write — external action

update_product3 products

Run suspends on writes and resumes the moment you decide — or flip on autopilot and let it act.

The loop, applied

One loop. Many jobs.

Point the same Analyze · Run · Track loop at the work in front of you. Start with one — bring the rest in when you're ready.

The LLM of your choosing. Bring your own key — your model, your data, your spend.

ClaudeGPTGemini

Close the loop on your data.

Connect a source, ask your first question, and run your first action in minutes. Bring your own key. No credit card.

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