ConceptDiscovery layer

Kadoa Pipeline Ladder

Kadoa turns a natural-language prompt into an AI-generated scraping pipeline, then monitors the source for real-time changes and delivers results to Snowflake, Databricks, or an AI assistant via MCP.

By InnovaAI ResearchPublished

What is Kadoa Pipeline Ladder?

Prompt → pipeline → monitored retainer

Three rungs from one-off extraction to monitored data retainer

Kadoa turns a natural-language prompt into an AI-generated scraping pipeline, then monitors the source for real-time changes and delivers results to Snowflake, Databricks, or an AI assistant via MCP. The ladder has three rungs an agency can sell separately. Rung one: a single URL or public PDF extraction, priced as a one-off build. Rung two: scheduled monitoring with alert rules for price or stock changes, sold as a monthly retainer. Rung three: chained workflows feeding a client dashboard or commodity trend product, where the free daily US food price monitor aggregating USDA data becomes a proof asset in the pitch. Benchmark pricing starts at $15 USD per month, so the platform cost sits far below the retainer, and the no-commitment evaluation period lets an agency validate a client source before quoting. Each rung adds recurring revenue without a new tool.

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