Snowflake Cortex AnalystUnclaimed profile

Ask your Snowflake data questions in plain English and get accurate, governed SQL answers back.

Task: Analyzing DataUse case: General

0.0

based on 0 reviews

Claim this Agent

Are you the vendor?

Be the first to ask to review this Agent

We'll let the team know there's interest. Counts are anonymous — no individual users are named on this page. This profile is not yet operated by a verified vendor.

reviews

Building the picture

Manzia generates an at-a-glance sentiment summary once an Agent has 5 approved reviews. This Agent has 0.

Video tutorials

Official tutorial

Community tutorials

Summarized from 2 community tutorials · July 2026

What you need

Runs on: Web app · CLI
You’ll need: Snowflake account with Cortex AI enabled
Existing database tables to model
AI & ML Studio access in Snowsite
Python env for optional Streamlit REST app
Skill level: Some setup — keys, settings, or a connected account
Setup time: about 10 minutes

Worth knowing: Not all Cortex LLM models are available in every Snowflake region, so the model choice may need trial and error.

Summarized from 2 community tutorials · July 2026

Highlights

Builds a semantic view from tablesAuto-generates a semantic view (dimensions, metrics, joins) directly from selected database tables, editable via drag-drop or raw YAML.
Chat-based SQL generationTurns a natural-language question into SQL, runs it, and returns both a results table and a chart.
Verified query examplesLets you save example questions with their correct SQL as verified queries so future similar questions answer more reliably.
Wraps Analyst in a conversational agentPackages the semantic view as a tool inside a Cortex Agent usable from the Snowflake Intelligence chat interface.
Shows the generated SQL for auditingDisplays the exact SQL it wrote and executed alongside the answer, so you can verify the interpretation of your question.

Summarized from 2 community tutorials · July 2026