slug: eden-ai
provider: Eden AI
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: User Management
  spec_file: eden-ai-user-management-api-openapi.yml
  capability_id: BC-4270.40
  capability_id_l1: BC-4270
  capability_name: Developer Identity & Credential Management
  confidence: 0.85
  evidence: POST /user/custom_token/  Create new Token; POST /user/custom_token/{name}/rotate/  Rotate
    a Token's secret; GET /user/custom_token/me/  Inspect the calling API key
  reason: Despite the 'User Management' tag, every operation issues, rotates, inspects and revokes API
    tokens/keys for developers consuming the platform API — developer credential management, not HR or
    customer user administration.
- tag: Automl Classification
  spec_file: eden-ai-automl-classification-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: Automl Classification Train Launch Job; Automl Classification Upload Data Launch Job; Automl
    Classification - Create Project
  reason: Project creation, training-data upload, model training and prediction jobs — this is explicitly
    custom model lifecycle / MLOps, which is the stated scope of Artificial Intelligence Management.
- tag: universal-ai
  spec_file: eden-ai-universal-ai-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /v3/universal-ai  universal_ai_v3_universal_ai_post  Universal Ai; UniversalAIAsyncJobListResponse
  reason: Model-routed inference endpoint (sync and async jobs) for invoking AI models through the gateway,
    which realises AI/ML model consumption and operations. Mapped to Artificial Intelligence Management;
    some ambiguity as the surface is inference execution rather than model lifecycle governance.