Kadoa positions itself as a "web data layer for finance," with the core goal of providing reliable, verifiable web data pipelines for investors and financial analysis scenarios.
In terms of purpose, Kadoa mainly serves data acquisition needs in the financial sector, including filings, prices, and fast, reliable alerts for website changes. The platform emphasizes building datasets from public web data, and users can test a free sample before paying.
Main capabilities include: AI agents automatically building, monitoring, and repairing data pipelines; automatically creating and maintaining crawlers to keep data flowing continuously when websites change; self-healing capability, that is, automatically repairing, testing, and redeploying broken pipelines, with the operations team stepping in when necessary, and every step logged; quality checks covering completeness, plausibility, schema, and user-defined domain rules; every value can be linked back to its source page, paragraph, or cell; success, throughput, and incidents are visible in Kadoa or the user's monitoring stack; when a repair cannot be proven safe, a ticket is generated explaining what failed, the repairs attempted, and the evidence. The platform also provides anti-blocking capabilities and emphasizes that datasets do not contain black-box model outputs, with users maintaining control over each pipeline.
In terms of usage, users describe the data they need, agents build, monitor, and repair the pipelines, and the final data can go directly into users' existing tools, providing native destinations for analysts, engineers, or agents. The platform supports internal agent scenarios.
Applicable scenarios are mainly investor and financial analysis work with extremely high data reliability requirements, such as monitoring filings, price changes, and website changes, and building datasets that can be proven correct. The platform states that its self-healing, quality checks, and anti-blocking capabilities have been refined in production for years and can handle routine operation of large numbers of pipelines.
In terms of limitations and compliance, Kadoa is SOC 2 certified, provides built-in platform security and privacy protection, encryption in transit and at rest, regular third-party penetration testing, SSO/SAML and SCIM automated user provisioning, fine-grained customizable user roles, strict data isolation under a multi-tenant architecture, comprehensive compliance and audit logs, and supports local or private cloud deployment. Data is not shared between customers, is not used for AI training, and workflows, sources, and schemas are strictly confidential. The platform also provides configurable compliance rules and restrictions, compliance officer approval before data collection, sensitive data detection, automatic robots.txt checks, and has undergone an independent audit by Sensiba, an independent review of public web data collection methods.
Other information: the platform provides the latest articles and insights, covering market insights and practical guides to web data. Regarding specific pricing, free trial duration, supported specificdata source types, and other details, the materials do not currently provide them.
