Fast, cheap access to cleaned financial datasets + on-demand scraping

Fast, cheap access to cleaned financial datasets + on-demand scraping targets a $6.0B = 2,000,000 potential buyers (SMBs, fintechs, researchers) x $3K average annual spend on datasets & custom scraping total addressable market with medium saturation and a year-over-year growth rate of 12-18% CAGR in demand for alternative / scraped financial datasets and data-as-a-service.

Key trends driving demand: Alternative-data demand -- hedge funds, quant groups and fintechs seek novel scraped data to gain alpha and power ML models.; Democratization of data -- smaller teams prefer low-cost, ready-to-use datasets over expensive enterprise feeds.; Automation-first tooling -- headless browsers, serverless functions and OCR/ML extractors accelerate custom scraping and lower per-task cost.; Marketplaces & APIs -- data marketplaces (Snowflake/AWS Exchange) make distribution and monetization of packaged datasets easier..