Most of 200 startups evaluated market data providers by price first, but those who had prior experience prioritized rights, gaps, and failover. Hidden costs from poor data quality—engineer time on data cleaning, second vendors, platform rebuilds—far exceed subscription fees, and data problems damage user trust directly.