slug: ab-tasty provider: AB Tasty generated_by: planning/capability-mapping/scripts/classify_capabilities.py model: claude-opus-5 frame: - Software & Technology min_confidence: 0.7 capability_model: source: https://github.com/vincentmakes/turbo-ea-capabilities license: CC-BY-4.0 attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities, CC BY 4.0 notice: NOTICE edge_count: 3 edges: - tag: Activate spec_file: ab-tasty-activate-api-openapi.yml capability_id: BC-4280.50 capability_id_l1: BC-4280 capability_name: A/B Test Execution confidence: 0.8 evidence: '"evaluates a visitors context against your active experiments, personalizations, and feature flags, then returns a deterministic decision which campaigns the user qualifies for, the selected variation"; POST /activate with BatchActivationRequest' reason: The activate endpoint reports/confirms a visitor's exposure to a selected experiment variation — runtime A/B test execution on an experimentation platform. - tag: Campaigns spec_file: ab-tasty-campaigns-api-openapi.yml capability_id: BC-4280.50 capability_id_l1: BC-4280 capability_name: A/B Test Execution confidence: 0.75 evidence: 'POST /{environmentId}/campaigns; schemas "Campaign", "CampaignVariation"; description: "which campaigns the user qualifies for, the selected variation"' reason: '''Campaigns'' here are experiment/personalisation campaigns whose variations are assigned at runtime, i.e. A/B and personalisation test execution — not marketing campaign management per se, though some personalisation ambiguity remains.' - tag: Environments spec_file: ab-tasty-environments-api-openapi.yml capability_id: BC-4210.50 capability_id_l1: BC-4210 capability_name: Feature Flag Management confidence: 0.75 evidence: POST /{environmentId}/flags; schemas "FlagsResponse", "FlagMetadata", "Flag"; description mentions "feature flags ... returns a deterministic decision" reason: Despite the tag name, the single operation resolves feature flags for a visitor — runtime feature flag evaluation and targeting, i.e. Feature Flag Management.