Fast, low-cost financial datasets + on-demand web scraping for niche signals

Fast, low-cost financial datasets + on-demand web scraping for niche signals targets a $7.5B = 150,000 organizations x $50k average annual spend on datasets & scraping (banks, hedge funds, fintechs, analytics vendors, researchers) total addressable market with medium saturation and a year-over-year growth rate of 8-12% annual growth in alternative-data & web-data-as-a-service demand.

Key trends driving demand: Alternative-data adoption -- more funds and fintechs seek non-traditional signals to differentiate strategies, increasing demand for niche datasets.; LLM-assisted extraction -- large models improve entity extraction and normalization from messy pages, reducing per-dataset labor cost and turnaround time.; API & marketplace commoditization -- buyers increasingly expect low-cost, on-demand access and microtransactions for datasets rather than enterprise subscriptions.; Retail quantification democratization -- growing retail/indie quant community purchases datasets previously reserved for institutional players..