Retry storms blow scraping budgets — auto-detect & adaptive backoff

Retry storms blow scraping budgets — auto-detect & adaptive backoff targets a $6.0B = 100,000 companies x $60K ACV (enterprises & data-heavy mid-market buying scraping/tooling + proxies) total addressable market with medium saturation and a year-over-year growth rate of 15% estimated growth in web-data and scraping tooling spend driven by AI and data demand.

Key trends driving demand: Data-as-differentiator -- companies increasingly rely on web data for competitive insights, raising the cost of outages or data gaps.; Anti-bot escalation -- target sites deploy more aggressive CAPTCHAs and dynamic rate-limits, increasing failed requests and retry behavior.; Cloud cost sensitivity -- teams are more motivated to control runaway cloud and proxy bills after high-profile cost incidents.; Observability everywhere -- developers expect production-grade telemetry and auto-remediation, not just logs..