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”
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.
More on Kadoa
- StrategyWhy Kadoa Turns Agency Scraping Retainers Into Recurring Data Products
- Evaluation RuleWhen to Adopt Kadoa: Prompt-Built Pipelines for Price and PDF Monitoring Retainers
- Decision FrameworkKadoa: Buy vs Skip (Prompt-Driven Extraction and Monitoring)
- Failure PatternThe Kadoa Prompt Drift Trap: Why Agencies Fail With AI-Generated Scraping Pipelines
- Implementation BlueprintKadoa Managed Price Monitoring Retainer (7-10 days)
- Operating ProcedureKadoa Client Monitoring Pipeline Build (Delivery)