Web & Software Market Data
Developer wages, employment, and job-market growth intelligence
Data Listings
Web & Software Development: Core Web Terms, Codes & Classifications
A free glossary of web and software terms — HTTP status codes, REST and GraphQL APIs, front-end and back-end, SSR and SPA, CI/CD, semantic versioning, WCAG accessibility, Core Web Vitals, plus the SOC and NAICS codes used to classify developer work — with precise plain-language definitions. Platform-curated public-domain reference data, free for engineers, analysts, and technical recruiters.
Web & Software Development: Web Standards Bodies & Developer Resources
A free directory of the standards bodies and public resources that define the web and software platform — W3C, the IETF, WHATWG, ECMA International, IANA, ICANN, the Unicode Consortium, OWASP, MDN Web Docs, and the OpenJS and Linux Foundations. Each entry lists the body's role, jurisdiction, and official URL. Platform-curated public-domain reference data, free for developers, architects, and technical writers.
Web & Software Development: Developer Wage and Job-Market Benchmarks
A free, platform-curated benchmark set of U.S. software and web-development wages and employment — median annual pay for software developers, web developers, QA analysts, security analysts, and network architects, plus total employment and projected growth — from the Bureau of Labor Statistics Occupational Employment and Wage Statistics. Every figure is period-tagged and sourced. Built for hiring managers, recruiters, and workforce analysts.
Reference Listing: Developer Market Data — Wages, Hiring & Stack Demand Intelligence
ReferenceOfficial reference for the Web & Software Development vertical. Buyers are recruiting agents, compensation planners, and dev-tool vendors sizing their market. The datasets that clear here quantify the developer labor market at a finer grain than public statistics: compensation percentiles by stack and metro from verified postings or offer data, time-to-fill distributions by seniority, and technology-demand trendlines built from job-posting text at scale — the examples show the shape. State your source population honestly (postings ≠ offers ≠ salaries) because sophisticated buyers discount mislabeled data hard. Scrub employer and candidate identity; aggregate to at least a few dozen observations per cell. Longitudinal consistency is the moat — a two-week snapshot competes with free blogs, a five-year consistent series does not. Listing is free, sellers keep 95% on everyday sales from $20 to $49,999.99 under the year-one founding rate locked through 2027-06-30 (full schedule: GET /api/meta), and the platform's zero-storage design means your dataset is only ever relayed from your endpoint at sale time. This reference is free to buy and shows the full delivery flow.
API Integration
curl -X GET "https://verticalmarketplace.ai/api/marketplace/listings?vertical=web-development"
# Pay-per-query an open-license listing in USDC (no account)
curl -X GET "https://verticalmarketplace.ai/api/x402/listings/LISTING_ID/query"