BigQuery MCP server: what an AI agent can query, and the guardrails it needs
Google's BigQuery MCP server gives an agent 9 tools, SQL on raw tables and up to 3,000 rows. It has no per-query byte cap and no metric definitions.
9 min read
#metric-hallucination
10 articles
Testing an MCP server before it touches production data (MCP Inspector and beyond)
MCP Inspector proves your server speaks the protocol, not that its answers are right. The rest: a scrubbed copy, an answer key, scope and cost checks.
9 min read
Snowflake MCP server: what the agent sees and what still needs a semantic layer
The Snowflake-managed MCP server exposes only the tools you declare. Answer quality still depends on a semantic view your team writes and maintains.
8 min read
Windsor.ai alternatives for ecommerce data teams in 2026
Windsor.ai starts at $19 a month but caches data for about three weeks. Nine alternatives scored on seven criteria, with when to stay put.
9 min read
ChatGPT and Claude for marketing data analysis: what they get right and what they make up
ChatGPT data analysis is safe for exploring a spreadsheet and unsafe for deciding with it: the math is right, the revenue definition is a guess.
8 min read
Google Analytics MCP: why the numbers it returns are already modeled
The Google Analytics MCP server reads GA4 through the Data API, which follows your reporting identity. On Blended, the numbers arrive already modeled.
8 min read
Why text-to-SQL fails on marketing data, even when the query runs
The query that runs is the worst case of text-to-SQL: the wrong revenue column, the wrong window or a fan-out join returns a clean number and no error.
9 min read
Supermetrics alternatives when the consumer is an AI agent, not a spreadsheet
Windsor.ai, Funnel and Improvado all ship MCP servers now. Choose a Supermetrics alternative by who defines the metric, not by connector count.
7 min read
Connect Google Ads, Meta and GA4 to one AI and you get three revenue numbers
Google Ads counts purchases 30 days after a click; Meta, 7 days after a click or 1 after a view. Plug all three MCPs into Claude and one order counts twice.
8 min read
Metric hallucination: why your AI reports a different number than your dashboard
Metric hallucination is AI computing correctly on a definition nobody wrote down. Supplying the definition raised accuracy from 45.5% to 67.7%.
7 min read