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📝 Summary
Web data layer for finance using AI agents to produce accurate datasets.
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Kadoa
📝 About This Tool
•Kadoa is a web data layer for finance that uses coding agents to build accurate, structured datasets from websites, PDFs, images, and spreadsheets. Users describe what data they need, and Kadoa generates a deterministic data pipeline without writing code. It offers real-time updates, self-healing workflows, and source-grounded outputs for investment research and portfolio monitoring.
⚡ Key Features
•Build datasets from a simple prompt
•Extract data from websites, PDFs, images, and spreadsheets
•Real-time updates via Slack, email, or webhooks
•Self-healing workflows that detect and fix breaks automatically
•Source-grounded outputs with clickable audit trails
•Integrates with S3, Snowflake, spreadsheets, and MCP
✨ Why Choose It
•Deterministic data pipelines instead of fragile scrapers
•Built-in continuous validation and schema drift detection
•Transparent error handling with full context for human review
👥 Who Is It For
•Investment firms and hedge funds
•Financial analysts and researchers
•Data engineers in finance
•Portfolio managers needing real-time data
❓ FAQ
Q: How does Kadoa ensure data accuracy?
A: Kadoa uses deterministic code generation, source grounding, and custom validation rules to ensure every output is audit-ready and reliable.
Q: Can Kadoa handle complex websites?
A: Yes, Kadoa extracts data from any website structure, as well as PDFs, Excel files, and images.
Q: What happens if a workflow breaks?
A: Kadoa automatically detects and fixes broken workflows, logs all changes, and notifies you if human intervention is needed.