Pave Market Data vs TR-sparently
Pave Market Data
pave.comTR-sparently
tr-sparently.comSide by side
| Figure | Pave Market Data | TR-sparently |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | — |
| Plans published | 3 | 0 |
| Spec score · Pay Transparency Software | 8.3 (#7) | 6.3 (#34) |
| Headquarters | San Francisco, California, United States | TR-sparently lists Berlin as its headquarters on its LinkedIn company page. |
| Support | Pave’s help center lets users search for answers or submit a support ticket. | The site lists [email protected] and says a rewards expert will respond to early-access requests within two working days. |
Plans
Pave Market Data
- Market Data LitePriced on request
- Market Data LiteFree
- Market Data ProPriced on request
In their own words
Pave Market Data
Pave Market Data provides compensation benchmarks for companies making pay decisions. It covers base salary, bonus and variable pay, total cash compensation, and new-hire and ongoing equity. Pave collects information through persistent connections to HRIS, ATS, and equity management systems, then uses machine learning to match employee records to job architecture before aggregating and de-identifying the data. Collection occurs daily, while benchmark updates are published monthly. Coverage includes more than 200 job families; Pro includes more than 55 countries and 90 cities or metros. Pro adds custom peer groups, advanced equity data, and customized reports. Lite is described for startups with 1–200 employees and includes the overall U.S. market plus one additional market. Access requires customers to connect HR platforms, with supported providers including ADP, BambooHR, Gusto, Rippling, and Workday. Lite is free; Pro pricing is by quote. Pave says users cannot access competitor-specific compensation data and describes its data as aggregated and de-identified.
TR-sparently
TR-sparently is a web-based Rewards Operating System for European companies, focused on organizational architecture, pay analysis, and compliance. Its analytics cover demographics, pay-for-performance, pay compression, and pay bands. Compliance tools provide automated gender pay gap calculations, Article 9 reports, and Joint Pay Assessment for all 27 EU member states, with audit trails and country-targeted reports. An AI-assisted leveling module helps HR and business teams establish or formalize job architecture. Recruiters can view salary ranges, receive offer guidance aligned with those ranges, and inspect internal equity subject to an anonymity threshold. The AI assistant is described as trained on the Directive, grounded in customer data, and hosted on EU infrastructure. Outputs include citations to directive articles, dataset rows, or methodology clauses. The site says analysis can examine individual pay gaps and tailor narratives to a specific level, job, and performance gap. The service is onboarding early customers through an access request form. Pricing is paid and available on request.