Find Contentful case studies by matching your query against company name, meta description, overview, quote, use case, impact, and body content. Returns all matching case studies.
Retrieve the detailed schema for a specific content type, including all fields, types, and relationships, to understand its structure before writing a GraphQL query.
Break down a slow Largest Contentful Paint into its four phases to identify which part of the load owns the delay. Uses one Chrome UX Report call to turn a single metric into actionable phase shares.
Detects code-level Core Web Vitals risks: CLS from missing image dimensions, LCP from unoptimized formats, and render-blocking scripts. Static analysis only—no live benchmarks or file changes.
Audits images on any public web page: compares natural vs rendered dimensions, flags oversized images, and provides format breakdown to identify performance issues.
Analyzes Largest Contentful Paint for a webpage. Identifies the LCP element, measures TTFB, resource load time, and render delay, then provides specific optimization suggestions to improve LCP below 2.5 seconds.
Retrieve Contentful CMS entries such as promotions and major-event navigation from Entain's CDN proxy, with support for content type filtering, pagination, sorting, and linked-entry resolution.
Retrieve page load performance metrics including navigation timing, First Contentful Paint, Largest Contentful Paint, Cumulative Layout Shift, First Input Delay, and memory usage.
Execute a GraphQL query against Contentful's GraphQL API to retrieve content flexibly and efficiently, supporting variables and optional space or environment overrides.
Measure server response time (TTFB), HTML weight, and diagnose mobile Largest Contentful Paint delays from lazy-loaded hero images or missing image preloads.
Identify what slows down Largest Contentful Paint and how to fix it. Run audits on desktop or mobile, set an LCP threshold, and receive actionable optimization opportunities.
Retrieve web page performance metrics like load time and contentful paint from RUM data to analyze user experience and identify optimization opportunities.
Decompose Largest Contentful Paint into TTFB, resource load delay, load duration, and render delay to identify the dominant phase and target the right performance fix.