Data-as-a-Service Product
Aggregate, clean, and sell niche industry data that's painful to collect manually
Every industry has data that's valuable but scattered across dozens of sources — pricing benchmarks, market size estimates, regulatory changes, competitor movements. A data-as-a-service business aggregates, cleans, and packages this data into a subscription product.
Examples: a real-time database of SaaS pricing pages, a weekly report on new restaurant openings by ZIP code, or a tracker of job postings by tech stack. Pricing ranges from $49/month for individual plans to $499/month for team and enterprise access.
The collection pipeline can be largely automated: web scrapers (Apify, Bright Data), RSS monitors, API aggregation, and AI-powered data cleaning. Once the pipeline is built, the marginal cost of each new subscriber is near zero. The moat is the historical dataset — competitors can replicate your collection method but not your two years of longitudinal data.
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