Kadoa
AI agents that build and maintain web data pipelines, monitors and datasets for finance
Kadoa.com
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What is Kadoa?
Kadoa is a web data platform aimed at finance, including hedge funds, asset managers and data providers. Its AI agents create and maintain web data pipelines so that data keeps flowing when websites change.
The platform is organised around three parts: Monitors, which alert on filings, prices and website changes; Pipelines, which automate scraper creation and maintenance; and Datasets, which are built from public web data around a given investment thesis, with a free sample before purchase.
Output can be delivered to Excel, Google Sheets, Slack, Snowflake, Databricks, BigQuery, S3, SFTP, webhooks, an API or an MCP server for AI agents. Pricing is consumption-based, with a free trial on the Starter plan and custom quotes for Enterprise.
Pros & Cons
Pros
- Monitors send alerts on filings and website changes for investment teams.
- Delivers data to Snowflake, BigQuery, S3, Slack, an API or an MCP server.
Cons
- Its stated focus is finance, including hedge funds and asset managers.
Frequently Asked Questions
We have no pricing information available now, so please check the Kadoa's website.
According to our latest information, this tool does not seem to have a lifetime deal at the moment, unfortunately.
Kadoa uses AI agents to create and maintain web data pipelines. The agents aim to keep data flowing when websites change, so teams do not have to rebuild scrapers by hand. Pipelines automate scraper creation and maintenance for teams that depend on regularly updated web data.
Monitors alert you to filings, prices and website changes. Datasets are built from public web data around a given investment thesis. Pipelines handle the automated scraper work behind them. Together these three parts cover monitoring, data collection and ready-made datasets.
Output can be delivered to Excel, Google Sheets, Slack, Snowflake, Databricks, BigQuery, S3, SFTP and webhooks. There is also an API and an MCP server for AI agents. This lets verified datasets flow into existing analysis or investment workflows. Check the official website for the latest list of destinations.
The site aims Kadoa at finance, including hedge funds, asset managers and data providers. Its datasets are built around investment theses. Teams outside finance are not the stated focus, although the company describes itself as a web data platform. Check the official website to confirm which use cases are supported.
Yes, output can be delivered through an API as well as an MCP server for AI agents. These options sit alongside file and warehouse destinations such as Snowflake and BigQuery. Developers can use them to connect the data to their own systems. Check the official website for documentation on setting them up.
