We've launched a Kadoa agent for Slack. Our users already spend their day in internal chat tools like Slack, so we're bringing data extraction and monitoring directly into that workflow.

How It Works

Mention @kadoa in any channel, describe what you want to extract or monitor, and the agent creates production-ready scraper from your conversation.

Here are example commands you can use:

• @kadoa monitor https://investor.company.com/sec-filings for new 8-K filings and notify #tech-megacaps
• @kadoa extract revenue, EPS, and guidance from quarterly earnings PDFs at https://investor.company.com/financials
• @kadoa track store locations at https://retailer.com/locations and alert #expansion-tracking when new locations are added

The agent handles pagination, dynamic content, and site structure changes automatically.

User stays in control

Every workflow requires sample data approval before activation. The agent creates deterministic workflows with built-in validation rules and audit trails to make sure you get highly reliable and compliant results.

Agent guidance

You can configure instructions in your Slack integration settings to guide the agent's behavior. Specify default notification channels, preferred data formats, or monitoring frequency preferences. The agent uses this context when creating workflows.

Availability

The Slack agent is available now on Enterprise plans. This is the first step in bringing Kadoa to the tools analysts already use, like internal chat tools, ChatGPT, and Excel.

Contact our team to get started or read the documentation to learn more.