Last updated 08-11-2026
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Kadoa
Kadoa turns plain-language requests into deterministic web data pipelines for finance teams. Analysts describe the dataset they need in the UI or through MCP, and Kadoa's coding agents generate, monitor, and self-heal extraction code that pulls from websites, PDFs, images, and spreadsheets. Outputs land in S3, Snowflake, BigQuery, or other warehouses with source grounding on every value.
Traditional scrapers break when layouts change and leave analysts waiting on engineering tickets. Kadoa generates auditable Python pipelines instead of black-box LLM answers, then runs validation, self-healing fixes, and observability dashboards when a site shifts. Real-time monitors push market-moving changes to Slack, email, or webhooks before they show up in terminal feeds.
Hedge funds, quant shops, and investment banks use Kadoa for filings extraction, portfolio monitoring, and custom data feeds without maintaining thousands of brittle scripts. Flex tier offers a free trial with consumption-based pricing for small teams, while Enterprise adds SAML SSO, shared workspaces, and dedicated support. The platform is SOC 2 Type II certified with on-premise deployment options.
Coding agents generate deterministic extraction pipelines from natural language dataset descriptions
Source-grounded outputs trace every value back to the exact page, paragraph, or spreadsheet cell
Self-healing workflows detect broken scrapers and patch code automatically with full change logs
Cloud-native delivery pushes datasets to S3, Snowflake, BigQuery, and other warehouses
Real-time monitors alert via Slack, email, or webhooks when tracked pages change
Flex plan includes a free trial with consumption-based pricing for small teams
SOC 2 Type II certified with SAML SSO, SCIM provisioning, and on-premise deployment options
Deterministic pipelines with source grounding suit audit-heavy finance workflows.
Self-healing code reduces the scraper maintenance load on data engineering teams.
Analysts can self-serve datasets through UI or MCP without waiting on central engineering.
SOC 2 Type II and on-premise options address enterprise compliance requirements.
Consumption-based Flex pricing requires forecasting extraction volume before committing.
Enterprise features like SAML SSO and volume discounts need a sales conversation.
Primary marketing and docs live on kadoa.com while the stored URL remains kadoa.co.
What is Kadoa used for?
Kadoa builds and maintains web data pipelines for investment research. Teams use it to extract filings, monitor portfolios, and deliver custom datasets from websites, PDFs, and spreadsheets without writing scrapers by hand.
How does Kadoa differ from generic AI scrapers?
Kadoa generates deterministic code pipelines rather than black-box LLM outputs. Every data point is source-grounded, validated, and traceable, with self-healing fixes logged when a site layout changes.
Does Kadoa require coding skills?
Analysts can describe datasets in plain language through the UI or MCP with no code required. Engineers can also write and run native ETL code inside Kadoa and let the platform handle scaling and monitoring.
Where does Kadoa send extracted data?
Kadoa pushes finished datasets directly to cloud warehouses including S3, Snowflake, and BigQuery. The homepage lists cloud-native delivery as a core feature with no glue code to maintain.
How much does Kadoa cost?
Kadoa offers a Flex plan with a free trial and consumption-based pricing for small teams. Enterprise pricing is custom and includes volume discounts, SAML SSO, shared workspaces, and a dedicated account manager.
Is Kadoa secure for financial data?
Kadoa is SOC 2 Type II certified with encryption in transit and at rest, SAML SSO, SCIM provisioning, multi-tenant isolation, and optional on-premise or private cloud deployment. Customer data is not used for AI training.