slug: seekr
provider: Seekr
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Public Sector & Government
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: 10
edges:
- tag: Fine-tuning
  spec_file: seekr-fine-tuning-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.9
  evidence: POST /v1/flow/fine-tune  Fine Tune; GET /v1/flow/fine-tunes/{fine_tune_id}/promote-model  Promote
    Model; schemas TrainingConfig, FinetuneResponse
  reason: Training, evaluating, promoting and cancelling ML models is squarely AI/ML model lifecycle (MLOps)
    management.
- tag: Agents
  spec_file: seekr-agents-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /v2/flow/agents/create; PUT /v2/flow/agents/{agent_id}/promote; schemas AgentSchemaV2,
    AgentStatus, ReasoningEffort
  reason: Lifecycle management (create, update, promote/demote, status) of LLM-based agents on an AI platform
    — AI/ML asset lifecycle, i.e. Artificial Intelligence Management.
- tag: Agents v1 - legacy
  spec_file: seekr-agents-v1-legacy-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /v1/flow/agents/create  Create; PUT /v1/flow/agents/{agent_id}/promote  Promote; schema
    AgentSchema
  reason: Legacy version of the same AI agent lifecycle surface (create/update/promote/status) on the
    SeekrFlow AI platform, mapping to AI model/agent lifecycle management.
- tag: Inference
  spec_file: seekr-inference-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /v1/inference/chat/completions  Route Chat Completion; POST /v1/inference/embeddings
  reason: Serving of deployed models (completions, embeddings, rerank, transcription) is the operational
    runtime side of the AI/ML model lifecycle.
- tag: Alignment
  spec_file: seekr-alignment-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /v1/flow/alignment/generate  Alignment Generate; schemas AlignmentJobStatus, TrainingFileType,
    IngestionRequest
  reason: Jobs that ingest files and generate alignment/training data for model tuning — part of the AI/ML
    model lifecycle (MLOps) on this platform.
- tag: Deployments
  spec_file: seekr-deployments-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /v1/flow/deployments  deploy_v1_flow_deployments_post  Deploy; schemas DeploymentStatus,
    AcceleratorType, DeploymentMetrics
  reason: Deployment and promotion of trained models onto accelerator hardware with metrics and events
    — model serving/MLOps, i.e. AI lifecycle management, rather than general IT deployment.
- tag: Explainability
  spec_file: seekr-explainability-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: GET /v1/explainability/influential-finetuning-data ... POST /v1/explainability/context-attributor  Get
    Context Attribution
  reason: Operations attribute model outputs to training data and context — model explainability tooling
    within the AI/ML model lifecycle (responsible AI), an Information & Data Management capability rather
    than any public-sector business capability.
- tag: Models
  spec_file: seekr-models-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: GET /v1/flow/models 'Ml Models'; schemas MLModel, MLModelType, Deployment, DeploymentStatus,
    HardwareType
  reason: Operations list and describe ML models and their deployments (model registry / serving inventory),
    which is ML model lifecycle and MLOps management rather than any industry-specific capability.
- tag: Data jobs
  spec_file: seekr-data-jobs-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /v1/flow/data-jobs/{data_job_id}/start  Start Data Job Alignment; schemas DataJobType,
    AlignmentOutput, GenerateSystemPromptRequest
  reason: Jobs that assemble and prepare AI-ready training data and kick off alignment — AI/ML data preparation
    within the model lifecycle. Could arguably be generic data management, hence 0.7.
- tag: Ingestion
  spec_file: seekr-ingestion-api-openapi.yml
  capability_id: BC-610
  capability_id_l1: BC-610
  capability_name: Information & Data Management
  confidence: 0.7
  evidence: POST /v1/flow/ingestion 'Ingest Files', schemas IngestionJobStatus, IngestionFileRecord; vendor
    covers 'document ingestion and AI-ready data preparation'
  reason: Document ingestion jobs that prepare AI-ready data are information/data management work; evidence
    does not pin a specific L2 (neither quality, governance nor architecture explicitly), so L1 only.
  recovered_from: sweep-20260829T005356Z-edges.json