Basedash is the AI-native Business Intelligence platform that lets you create dashboards and understand your customers using natural language. Connect your data, describe the chart you want, and let AI generate the visualization. No SQL required.
This is the 20th launch from Basedash: AI data analyst. View more
Slack Data Agent
Launched this week
Basedash for Slack is your AI data analyst inside Slack — now in the official Slack Marketplace. Mention @Basedash in any channel and it queries your real data sources, thinks in the thread, and replies with an answer and a chart, right where your team is talking. Automations deliver scheduled reports to your channels, and insights surface anomalies automatically — charts included. Ask in Slack. Answered by your data.
Free Options
Launch Team / Built With
Basedash: AI data analyst
This looks like a massive time-saver for answering ad-hoc executive questions! Since it's translating natural language to query real data sources, how does Basedash handle complex or messy database schemas to ensure it doesn't pull the wrong metrics or hallucinate an answer?
Basedash: AI data analyst
@andika_fadhilah our AI builds up its own context layer based on your data schema, plus you can add additional context, skills, and deterministic metric definitions to improve consistency of answers.
Having this directly inside Slack feels way more practical than opening another dashboard every time. How long does the initial setup usually take?
Basedash: AI data analyst
@ada_johnsen initial setup is super quick:
Connect a data source (database, warehouse, or one of over 750+ SaaS connectors)
Connect to your Slack workspace
Start asking questions
Honestly
Congrats on the launch! What are the most common datasources Basedash for Slackuses for analysis? Relevant data lives across multiple platforms for most companies so curious on about what you and the team have seen so far
Basedash: AI data analyst
@scott_davidson_jr most common is connecting an existing database or warehouse, but it’s common to supplement that with data from Stripe, HubSpot, GitHub, Linear and tools like that.
If @Basedash answers in a shared Slack channel using my RLS permissions, who can see the chart in the thread? Is it visible to the whole channel, or can sensitive answers stay private?
Basedash: AI data analyst
@novamaker01 depends where it’s posted! If you want to keep it private you can use a private Slack channel or DM. You can choose to share that with other users if you like, regardless of their access level.
Basedash: AI data analyst
The insight behind this one is simple. Most data questions are small. "How's revenue trending?" "Did signups recover after the pricing change?" Questions like these don't deserve a dashboard, a login, or a tab switch. They deserve an answer in the place you asked.
That's why we built Basedash for Slack. The whole point of an AI data analyst is that it comes to you.
What I love most: the answers are governed. Same semantic layer, same row-level security as the rest of Basedash. So when someone on your team asks a revenue question in a public channel, the answer is both correct and appropriately scoped to them.
Would love to hear how your team handles quick data questions today — that's exactly the workflow we're trying to replace.
The permissions model looks solid, but Slack threads get forwarded and screenshotted constantly. How do you handle the risk of sensitive data being exposed after the AI has already surfaced it to an authorized user?