★★★★★
"Clearforge Data helped us access and clean the data we needed to test our hypothesis with confidence."
Public Policy Researcher
Results and standards
Client feedback and data quality standards.
A focused view of what clients report and how quality is checked before delivery.
Testimonials
What clients say after the data is usable.
★★★★★
"They analyzed my sales data so I could match the right promotions to the customers most likely to buy."
Specialty Ecommerce Shop
★★★★★
"Clearforge built a model that helped us predict seasonal demand and plan inventory with more confidence."
Inventory Manager
Quality standards
Useful data needs checks, context, and limits.
Source-aware collection
Scrapers are scoped around allowed access patterns, source stability, rate limits, and repeatability.
Validation before delivery
Every dataset ships with checks for missingness, duplicates, schema drift, and suspicious outliers.
Plain-English documentation
Deliverables include setup steps, known limits, data dictionaries, and maintenance notes.