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Pave Market Data

What Pave Market Data is
Pave Market Data provides compensation benchmarks to help companies make pay decisions. It covers base salary, bonus and variable pay, total cash compensation, and both new-hire and ongoing equity. The service gathers information through ongoing connections to HRIS, ATS, and equity management systems, then uses machine learning to match employee records to job architecture before combining and de-identifying the data. Pave collects data daily and publishes benchmark updates monthly. Its methodology guide describes more than 200 job families; Pro coverage spans more than 55 countries and 90 cities or metros. Pro adds custom peer groups, advanced equity data, and customized reports. Lite is for startups with 1–200 employees and includes the overall U.S. market plus one additional market. Customers must connect their HR platforms to use Market Data. Lite is free; Pro pricing is by quote. Pave says users cannot access competitor-specific compensation data.
Who it suits
Market Data suits companies making pay decisions that need benchmarks for compensation planning. Lite is described for startups with 1–200 employees; Pro is available to all companies.
What it does well
- Benchmarks salary, cash compensation, bonuses, and equity.
- Covers more than 200 job families.
- Pro includes custom peer groups and customized reports.
- Benchmarks are updated monthly.
- Lite is free for eligible startups.
What to know first
- Customers must connect HR platforms to access the data.
- Lite covers the U.S. market plus one additional market.
- Pro pricing is by quote.
Limits
Lite is for startups with 1–200 employees and covers the overall U.S. market plus one additional market. Pro pricing is by quote.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Market Data Lite | 290+ job families · U.S. overall plus one additional market · automated data collection · AI job matching | Free |
| Market Data Pro | Everything in Lite · custom peer groups · 60+ countries and 90+ metros · recent-hire filter · advanced equity data · unlimited exports and customized reports | On request |
As pave.com lists them, read 15 Oct 2026. The maker's own page has the final word.
Getting started
- Visit the Pave Market Data website.
- Choose Lite if your startup has 1–200 employees, or request Pro pricing.
- Connect the HR platforms required for access, including HRIS, ATS, and equity management systems.
Overview
Pave Market Data is a web-based compensation benchmarking product for companies making pay decisions. It is best suited to employers willing to connect their HR systems to compare pay across roles and markets. Its broad coverage and monthly refreshes are compelling; access depends on sharing workforce data through connected platforms.
Key features
Pave collects data daily through persistent connections to HRIS, ATS, and equity management systems, then publishes refreshed benchmarks monthly. Machine learning maps employee records to Pave’s job architecture before aggregation and de-identification. That gives compensation teams a consistent basis for comparing roles, though monthly benchmarks are not a live view of market changes.
Benchmarks span more than 200 job families and cover base salary, bonus and variable pay, total cash compensation, and new-hire and ongoing equity. Pro adds coverage across more than 55 countries and 90 cities or metros, along with custom peer groups, advanced equity data, and customized reports. Those additions matter most to employers comparing specialized roles or compensation across multiple markets.
Access requires connecting HR platforms, including HRIS, ATS, and equity management systems. Supported HRIS providers include ADP, BambooHR, Gusto, Rippling, and Workday. Pave says its data is aggregated and de-identified, and that users cannot access a specific competitor’s compensation data. It reports ISO/IEC 27001:2022 certification and SOC 2 Type 1 and Type 2 compliance. Users can search the help center or submit a support ticket.
Pricing
Market Data Lite: free. It provides benchmarks for the overall U.S. market plus one additional market and is intended for startups with 1–200 employees. That is a defined, no-cost starting point for eligible smaller companies, but it does not include Pro’s global coverage and reporting features.
Market Data Pro: custom pricing. It includes global benchmarks, advanced reports, and peer groups; Pro also includes advanced equity data and customized reports. All companies are eligible, making this the option for larger or more geographically distributed employers. Pricing by quote means teams need to contact Pave to assess cost.
Platforms
Pave Market Data is available on the web. Its reliance on connected HR platforms is central to access, so it is not a standalone benchmark feed for organizations unwilling or unable to connect those systems.
Who it's for
Lite is a practical fit for startups with 1–200 employees that need U.S. compensation benchmarks and one additional market without a subscription charge. Pro better suits employers that need broader international coverage, custom peer groups, or tailored reporting. Organizations seeking instant benchmark changes, or unwilling to connect HR systems, should look elsewhere.
Pros and cons
- Pro: Broad compensation scope. Salary, variable pay, total cash, and equity benchmarks across more than 200 job families support more complete pay decisions.
- Pro: Clear entry point for eligible startups. Lite costs nothing and covers the overall U.S. market plus one additional market.
- Pro: Privacy safeguards. Aggregation and de-identification, alongside the stated security certifications and compliance, address concerns about sharing employee compensation data.
- Con: HR connections are required. Companies must connect HRIS, ATS, and equity management platforms to access the product.
- Con: Pro has custom pricing. Employers cannot compare its cost against a published rate before contacting Pave.
- Con: Benchmark publication is monthly. Daily collection does not translate into daily published updates.
Alternatives
For compensation management options beyond Pave’s benchmarking focus, compare Compensation Management Software. Employers focused on disclosure practices can explore Pay Transparency Software; those prioritizing market pay comparisons can browse Salary Benchmarking Software. For broader workforce planning or rewards needs, see Workforce Planning Software and Total Rewards Software.
Compose by Decusoft is a paid alternative on Android, iOS, and web; its pricing requires contacting Decusoft for a demo. Compport is paid, available through API and web, with quote-based pricing that varies by headcount, plan complexity, and modules. Salary.com CompXL is a paid web option with personalized-demo pricing and no free plan. Other paid web alternatives include CompAccelerator, CompLogix, and Comprehensive; CompUp offers API and web access, while Heyquity is web-based.
Verdict
Pave Market Data is a strong choice for companies that can connect their HR platforms and want regularly refreshed benchmarks across pay and equity. Lite gives eligible startups a useful, no-cost U.S.-focused option; Pro is the more relevant choice for global coverage and customized reporting. Look elsewhere if HR connections are impractical or if you need public Pro pricing before engaging a vendor.
Verdict
Pave Market Data combines compensation benchmarks with monthly updates and broad job-family coverage. Lite offers a defined startup option, while Pro adds global coverage and reporting features with pricing by quote.
Questions
Is Pave Market Data free?
Market Data Lite is free. Pro pricing is available by quote.
What does Market Data benchmark?
It covers base salary, bonus and variable pay, total cash compensation, and new-hire and ongoing equity.
What platforms does it support?
Market Data is available on the web. Access requires customers to connect their HR platforms, including HRIS, ATS, and equity management systems.
Which HRIS providers are supported?
Pave lists ADP, BambooHR, Gusto, Rippling, Workday, and others among supported providers.
Who qualifies for Lite, and what does it cover?
The methodology guide describes Lite for startups with 1–200 employees. It includes the overall U.S. market plus one additional market.
What does Pro add?
Pro includes custom peer groups, advanced equity data, and customized reports. Its pricing is by quote.
Facts from Pave Market Data's own pages
- Advanced equity insights
- Pro provides equity vehicle and vesting practices, burn rates, and comparisons such as annualized versus total grants and intended versus current values. · pave.com, 15 Oct 2026
- API access limits
- The Help Center says API endpoints are read-only and expose merit cycles, employee compensation data and exchange rates. · support.pave.com, 15 Oct 2026
- API design
- Pave documents a REST API with resource URLs, JSON responses and cursor pagination. · developers.pave.com, 15 Oct 2026
- Benchmark refresh
- Pave generally publishes updated compensation benchmarks monthly, usually on the first Monday. · pave.com, 15 Oct 2026
- Benchmark types
- The product benchmarks base salary, bonus and variable pay, total cash compensation, and new-hire and ongoing equity. · pave.com, 30 Sept 2026
- Benchmark updates
- Pave collects data daily and publishes updated benchmarks monthly. · pave.com, 30 Sept 2026
- Calculated Benchmarks
- Pave uses regression models over observed data to estimate equity benchmarks where sample sizes are thin. · pave.com, 15 Oct 2026
- Company facts
- LinkedIn lists Pave as privately held, founded in 2019, headquartered in San Francisco and employing 51–200 people. · linkedin.com, 15 Oct 2026
- Company identity
- The legal entity is Trove Information Technologies, Inc., doing business as Pave. · crunchbase.com, 15 Oct 2026
- Compensation measures
- Benchmarks cover base salary, variable pay, bonus percentages, total cash, new-hire equity, ongoing equity and unvested equity, with some equity measures Pro-only. · pave.com, 15 Oct 2026
- Coverage
- Market Data benchmarks cover more than 200 job families and, in Pro, more than 55 countries and 90 cities or metros, according to the methodology guide. · pave.com, 30 Sept 2026
- Data collection
- Market Data continuously collects data from HRIS, ATS and equity-management systems, then matches jobs with machine learning and aggregates and de-identifies records. · pave.com, 15 Oct 2026
- Data safeguards
- Pave says Market Data uses aggregated and de-identified data and that users cannot access competitor-specific compensation data. · pave.com, 30 Sept 2026
- Developer onboarding
- Developers need a Pave account with API access, generate a key in Connections, and can test with a GET request to api.pave.com/ping. · developers.pave.com, 15 Oct 2026
- Documentation depth
- Developer documentation includes overview, getting-started, core-concepts, use-case, support, API-reference and changelog sections. · developers.pave.com, 15 Oct 2026
- Funding
- Pave says it has raised $160 million from investors including Andreessen Horowitz, Bessemer Venture Partners, Craft Ventures, Index Ventures and Y Combinator. · pave.com, 15 Oct 2026
- Geographic filters
- The methodology guide lists more than 55 countries and filters for over 90 major cities or metropolitan areas. · pave.com, 15 Oct 2026
- Headquarters
- San Francisco, California, United States · pave.com, 28 Sept 2026
- Hosting
- Pave states that customer data is stored in the United States on Google Data Centers. · pave.com, 15 Oct 2026
- Integration requirement
- Access to Market Data requires customers to connect their HR platforms, including HRIS, ATS, and EMS systems. · pave.com, 30 Sept 2026
- Integrations
- Supported connections include ADP, Ashby, BambooHR, Carta CSV, Culture Amp, Deel, Greenhouse, Gusto, HiBob, Lever, Rippling, SAP SuccessFactors, UKG, Workday and Zenefits. · pave.com, 15 Oct 2026
- Intended customers
- Pave describes Market Data Pro as compensation benchmarks for the modern enterprise and says all companies are eligible for Pro. · pave.com, 30 Sept 2026
- Job coverage
- Pave reports benchmarks for more than 200 broad-based and executive job families as of January 2026. · pave.com, 15 Oct 2026
- Job matching
- Pave uses machine learning to match employee records to its job architecture before aggregating and de-identifying the data. · pave.com, 30 Sept 2026
Where Pave Market Data stands on Freedom251
- Pay Transparency Software#3 of 36
- Salary Benchmarking Software#3 of 30