Fostr’s Airtable integration turns synced data into insight. Its aggregation engine calculates totals, averages, comparisons, and trends directly from Airtable Recordsets without manual setup or exports. You can ask structured questions such as "total spend by campaign" or "monthly revenue growth" and get summarized answers instantly.

What Aggregation Does

Aggregation defines how Fostr summarizes or groups Airtable data. Each numeric or date field inside a Recordset includes built-in logic such as sum, average, median, min, max, and group by (time or category). When you ask a question, these attributes tell Fostr how to calculate the result. Unlike regular LLMs that rely on pattern recognition or approximation, Fostr performs grounded, schema aware calculations directly from structured data, ensuring precise, validated, and contextually consistent answers.

Because Fostr recognizes record structure automatically, you can focus on the business question instead of writing formulas. Aggregation makes analytical language like total, average, highest, weekly, by month, or compare work naturally in conversation.

When to Use It

Aggregation is ideal for questions about summaries, patterns, or performance. You can ask:

• "Show total revenue by week.”
• "Which product line has the highest average margin?”
• "Group leads by month and compare conversion trends.”

These questions work because they focus on numeric fields and groupable categories. Fostr automatically identifies the fields that can support these operations when your Airtable data is connected.

When It Doesn’t Apply

Some questions fall outside aggregation, such as:

• Listing every row or record in detail
• Combining unrelated tables or bases