{"id":10903,"external_id":"plugin_asdk_app_6ae7c76148c081918210c44de9479cf3","name":"abmeter","display_name":"ABMeter","developer":"ABMeter","category":"Developer Tools","listing_language":"en","listing_language_details":{"method":"cld-0.13.0/listing-v1","reliable":true,"detected_at":"2026-11-04T06:06:15Z","input_sha256":"f54ec6bb8d56bcf198a4d341783633b9dee0ca0f8b2135323388dc682df234c0","source_fields":["release.description","release.interface.short_description","release.interface.long_description"]},"version":"0.8.0","skill_count":4,"first_seen_at":"2026-11-04T06:00:02.689Z","last_seen_at":"2026-11-07T00:00:03.077Z","last_changed_at":"2026-11-04T06:00:02.689Z","install_count":null,"search_matches":[],"research_summary":null,"research_reviewed_at":null,"metadata":{"canonical_app_id":"asdk_app_6ae7c76148c081918210c44de9479cf3","connector_id":"asdk_app_6ae7c76148c081918210c44de9479cf3","created_at":"2026-11-02T02:43:28.141015Z","discoverability":"LISTED","id":"plugin_asdk_app_6ae7c76148c081918210c44de9479cf3","is_template":false,"is_template_instance":false,"name":"abmeter","release":{"app_ids":["asdk_app_6ae7c76148c081918210c44de9479cf3"],"app_manifest":{"apps":{"abmeter":{"id":"asdk_app_6ae7c76148c081918210c44de9479cf3","required":true}}},"app_templates":[],"description":"Design, run and analyze A/B experiments and feature flags in ABMeter from your assistant.","display_name":"ABMeter","id":"pluginrel_77da8304aab08191bd938c7a17afefea","interface":{"brand_color":"#C55E5D","capabilities":["Design experiments","Analyze experiment results","Manage feature flags"],"category":"Developer Tools","composer_icon_dark_url":null,"composer_icon_url":"https://files.openai.com/content?id=file_00000000b14081f782b44e0021f25077","default_prompt":"Load the ABMeter sample data and show me what is in it.","default_prompts":["Load the ABMeter sample data and show me what is in it.","Has any running experiment in demo-space reached significance?","Design an A/B test for a green checkout button."],"developer_name":"ABMeter","logo_url":"https://files.openai.com/content?id=file_00000000b5cc81f794ab2261bd26c09a","logo_url_dark":null,"long_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 reads the results with a two-sample z-test.\n\nStarting or stopping an experiment and turning a feature flag on or off happen only on the ABMeter website, where you are signed in. Once an experiment runs, each user stays in the group they were first assigned to: the assistant cannot change its allocation or audiences, and an edit that would move its users, such as a feature flag that overrides a tested parameter, is refused and handed to you on the website. The assistant can still edit the rest of your configuration from the conversation, including the hypothesis, description and metrics of a running experiment, parameter defaults and variants that no running experiment uses, and the audience or variant of a flag that is already on.\n\nA new account is empty. Ask the assistant to load the sample data to try it on a realistic dataset in a separate demo space.","plugin_category_id":"developer tools","privacy_policy_url":"https://abmeter.ai/privacy","screenshot_urls":[],"short_description":"A/B tests from your assistant","terms_of_service_url":"https://abmeter.ai/terms","website_url":"https://abmeter.ai"},"keywords":["ab-testing","experiments","feature-flags","statistics","mcp"],"onboarding_skill_name":"get-started","requires_local_executor":false,"skills":[{"description":"Check whether a running ABMeter experiment can answer its hypothesis yet. Use when the user asks about an experiment's results or significance.","interface":{"brand_color":null,"default_prompt":null,"display_name":"analyze-experiment","icon_large_url":null,"icon_small_url":null,"iconography":"chart","short_description":"Check whether a running ABMeter experiment can answer its hypothesis yet. Use when the user asks about an experiment's results or significance."},"name":"analyze-experiment","plugin_release_skill_id":"pluginrsk_6ae957f7618081918e84aad102aabba8"},{"description":"Analyze an ABMeter experiment's results, recommend a decision, and guide the user through concluding it on the website. Use when the user wants to stop an experiment or pick a winner.","interface":{"brand_color":null,"default_prompt":null,"display_name":"conclude-experiment","icon_large_url":null,"icon_small_url":null,"iconography":"chart","short_description":"Analyze an ABMeter experiment's results, recommend a decision, and guide the user through concluding it on the website. Use when the user wants to stop an experiment or pick a winner."},"name":"conclude-experiment","plugin_release_skill_id":"pluginrsk_6ae957f7572c81918e40bd6490fec0ac"},{"description":"Design an A/B experiment in ABMeter step by step and hand the launch to the user on the website. Use when the user wants to test a change.","interface":{"brand_color":null,"default_prompt":null,"display_name":"design-experiment","icon_large_url":null,"icon_small_url":null,"iconography":"chart","short_description":"Design an A/B experiment in ABMeter step by step and hand the launch to the user on the website. Use when the user wants to test a change."},"name":"design-experiment","plugin_release_skill_id":"pluginrsk_6ae957f78c6081919238022b45f4583a"},{"description":"Get started with ABMeter: its core concepts, what only the user can do on the ABMeter website, and the skills for designing, analyzing and concluding an experiment. Use when the user is new to ABMeter or asks what it can do.","interface":{"brand_color":null,"default_prompt":null,"display_name":"get-started","icon_large_url":null,"icon_small_url":null,"iconography":"chart","short_description":"Get started with ABMeter: its core concepts, what only the user can do on the ABMeter website, and the skills for designing, analyzing and concluding an experiment. Use when the user is new to ABMeter or asks what it can do."},"name":"get-started","plugin_release_skill_id":"pluginrsk_6ae957f76ac88191b5a427cbef22f65d"}],"version":"0.8.0"},"scope":"GLOBAL","status":"ENABLED"},"research":null,"package_metadata":{"name":"abmeter","author":{"url":"https://abmeter.ai","name":"ABMeter"},"sources":[{"path":"plugin.json","sha256":"52e94bd0e9ea39bac84e287c27fcb05d1a1395d080fe19bc691804fd9dbe91a2"}],"version":"0.8.0","commerce":false,"homepage":"https://abmeter.ai","keywords":["ab-testing","experiments","feature-flags","statistics","mcp"],"artifact_id":165327,"observed_at":"2026-11-06T18:19:06Z","support_url":"https://abmeter.ai/about#contact","capabilities":["Design experiments","Analyze experiment results","Manage feature flags"],"field_sources":{"name":0,"author":0,"version":0,"commerce":0,"homepage":0,"keywords":0,"support_url":0,"capabilities":0,"release_notes":0,"onboarding_skill":0,"review_case_counts":0,"commerce_description":0},"release_notes":"The update tools that overwrite an experiment, feature flag, parameter, variant, metric, event type or audience now declare destructiveHint: true, because each call overwrites the previous values.","onboarding_skill":"./skills/get-started/SKILL.md","extraction_version":1,"review_case_counts":{"negative":3,"positive":5},"conflicts_or_errors":[],"commerce_description":"ABMeter is free and does not sell products or process payments."}}