Prompt-based dataset creation
Describe the dataset you need in plain language and Kadoa builds a structured dataset for analysts in the UI or via MCP.
Kadoa is a web data platform for investment firms that turns public web sources into structured datasets. It supports analysts and engineers with prompt-based creation, ETL workflows, monitoring, and delivery to warehouses and APIs.
Kadoa is a web data platform for investment firms that need structured data from public web sources. It is positioned as a way for analysts and engineers to go from source material to a usable dataset without maintaining brittle scrapers.
The product combines prompt-based dataset creation, native ETL execution, monitoring, and delivery into downstream systems. The source material also emphasizes source-grounded output, validation, self-healing workflows, and compliance-oriented controls for enterprise use.
Describe the dataset you need in plain language and Kadoa builds a structured dataset for analysts in the UI or via MCP.
Engineers can write and run ETL code natively in Kadoa, including migration of existing pipelines while Kadoa handles scaling, monitoring, and self-healing.
The platform extracts data from websites, PDFs, images, and spreadsheets, then transforms it into structured output.
Data can be pushed into S3, Snowflake, BigQuery, or other warehouses, with REST APIs, SDKs, MCP, and webhooks also shown in the workflow.
Kadoa monitors sources for changes and provides real-time alerts through Slack, email, or webhooks.
Every extracted value is source-grounded, with validation checks for completeness, plausibility, schema adherence, and custom domain rules.
Turn scattered public sources into structured datasets that can be used for research, modeling, and internal analysis.
Track public sources for changes and receive alerts on market-moving events before they show up in traditional feeds.
Extract KPIs and normalize company filings across regions into backtesting-ready datasets.
Monitor portfolio companies and competitors for pricing, hiring, and geographic signals across a watchlist.
Build or request bespoke datasets from the catalog and deliver them to downstream warehouses or APIs on a schedule.
Kadoa is designed for investment firms and teams that need structured web data for research, monitoring, and datasets. The source material also shows self-serve usage for analysts and native ETL workflows for engineers.
The source shows Kadoa can take a prompt or plain-language request, generate a dataset, and support workflows in the UI or via MCP. It also supports native ETL code for engineers.
Kadoa can extract data from websites, PDFs, images, and spreadsheets. The source also mentions loading data through REST APIs, SDKs, MCP, webhooks, and pre-built connectors such as Snowflake.
Kadoa includes source grounding, validation checks, self-healing workflows, and observability for workflow success rate, throughput, and incidents. If recovery fails, the system reports what broke and what needs human review.
The pricing page shows a Flex plan with a free trial and an Enterprise plan with contact sales, plus a no-commitment evaluation period on every plan. The source does not provide detailed pricing numbers.