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InferGaugeNexus Corporation DBA InferGaugeLoad and stress test AI and LLM endpoints from ChatGPT: build validated test configs, read back results, compare runs and generate CI per... Publisher keywords · listing developer tools observability metrics agents load testing performance testing llm Show in context → 3 more matching sources Publisher subtitle Load test your AI endpoints Show in context → Publisher description Load and stress test AI and LLM endpoints from ChatGPT: build validated test configs, read back results, compare runs and generate CI performance gates. Show in context → Publisher full description InferGauge measures how AI and LLM endpoints behave under load: latency, time to first token, inter-token latency, throughput, error rates, goodput, response quality and cost. With InferGauge in ChatGPT you can: - Describe a load, stress, spike or endurance… Show in context →	Developer ToolsVersion 1.0.0	View details →
Velox TriFit API DocsVelox XRIntegrate Velox DressMe virtual try-on with tested SDK examples and offline mocks. Publisher capabilities · listing …mentation API guidance through MCP Node.js examples and TypeScript declarations Offline integration testing Partner API access requirements Show in context → 1 more matching sources Publisher full description …al fitting-room features. Find API reference material, Node.js examples, TypeScript declarations, upload and job-flow guidance, offline mock examples and partner access requirements through MCP. This connection provides documentation. Live try-on requires separately approved Partner API access and b… Show in context →	Developer ToolsVersion 1.1.6	View details →
ABMeterABMeter Publisher full description ABMeter is an A/B testing and feature flag service for individuals and small teams without a data scientist. Your assistant designs an experiment with you, creates its parameters, variants, metrics and audiences, and r… …the audience or variant of a flag that is already on. A new account is empty. Ask the assistant to load the sample data to try it on a realistic dataset in a separate demo space. Show in context → 1 more matching sources Publisher keywords · listing ab-testing experiments feature-flags statistics mcp Show in context →	Developer ToolsVersion 0.8.0	View details →
RamusOn A Lark LLCRamus gives coding agents a disposable cloud Android emulator: run an APK, demo app or GitHub pull request build, then snapshot the scree... Publisher keywords · listing android android-emulator apk mobile-testing react-native expo flutter kotlin emulator ramus Show in context → 1 more matching sources Publisher full description …a real Android device in the cloud. Attach an APK, or ask for the Ramus demo app, an APK already uploaded to Ramus, or the build from a GitHub pull request, then read the screen, tap, type, swipe, press keys, take screenshots and read device logs. The live device appears right in the chat, where yo… Show in context →	Developer ToolsVersion 0.3.2	View details →
RevylRevylRun mobile changes on Revyl cloud devices and verify them with screenshots and semantic validation through the Revyl CLI. Publisher keywords · listing mobile ios android testing verification Show in context → 1 more matching sources Publisher full description Use the Revyl CLI to run mobile apps, inspect screenshots, validate behavior, and verify CI-uploaded pull request builds. Requires shell access and Revyl sign-in; does not require MCP or hooks. Show in context →	Developer ToolsVersion 0.1.0	View details →
SnapVisorDevino Solutions Publisher full description SnapVisor is a visual regression testing platform. Your CI uploads screenshots as builds, SnapVisor compares them pixel by pixel against a baseline, and your team reviews and approves the changes it finds. The SnapVisor plugin lets ChatGPT work through that rev… Show in context → 1 more matching sources Publisher keywords · listing snapvisor visual testing screenshots regression code review Show in context →	Developer ToolsVersion 1.0.1	View details →
RatedWithAIBity LLC Publisher full description RatedWithAI checks a live public website for accessibility problems. Give it an address and it loads the page in a real browser, runs the axe-core WCAG 2.1/2.2 AA rules on it and on up to two more pages from the same site, and returns a 0-100 score, a letter grade and the failing rules, ordered… …a login, local or private-network addresses, or pasted HTML. A scan takes 15-40 seconds. Automated testing finds roughly a third to a half of WCAG issues; results are not legal advice or a compliance certification. Show in context →	Developer ToolsVersion 1.0.0	View details →