Your numbers inside the AI you already use.
Connect Escalafy to Claude, ChatGPT, Gemini or Grok and ask the way you'd ask your CFO: how much you made yesterday, which campaign to turn off, which product is tying up your capital. It answers with your real data, not estimates.
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Claude
ChatGPT
Gemini
GrokYou ask
How much did I make yesterday and which campaign should I kill?
Net profit
+$0
Real ROAS
0,0x
Margin
0,0%
The answer exists. It's buried in a dashboard.
You already have the numbers. But every question means opening the platform, picking the date range, cross-referencing two reports and exporting to a spreadsheet to compare. Most questions never get asked — not because they don't matter, but because each one costs fifteen minutes.
"I have the data but no time to look at it every day"
"I ask ChatGPT and it makes up the numbers"
"I end up exporting to Excel to compare two months"
"I want to ask and get an answer, not build a report"
Excel, Meta and your accountant weren't built for this.
AI without your data makes things up
An assistant with no access to your store gives you an answer shaped like a report, but the numbers are invented. It sounds right and it's wrong.
Copy-pasting a CSV doesn't scale
Pasting an export into the chat works once. It doesn't include your costs, it doesn't update, and in two days it's already stale.
An API alone doesn't answer questions
A raw API gives you JSON. Someone has to know which endpoint to call and what each field means before it becomes an answer.
How it works
Escalafy exposes your reports as an MCP server: you connect it once in Claude, ChatGPT, Gemini or Grok, authorize with your account, and the assistant gets read access to your real numbers. Every answer comes from the same database as your dashboard — same costs, same currency, same time zone — and includes the definition of each metric, so the assistant doesn't confuse revenue with profit or ROAS with real ROAS.