wxctl supports the resource kinds below. The table is generated from wxctl resources -o markdown for this build, so it always matches the binary. DEPLOYMENT shows where each kind is available — saas, software, or both.

​
Supported kinds

KINDPRODUCTSERVICEDEPLOYMENTENDPOINTDESCRIPTION
inventoryAI Factsheetsfactsheetssoftware/v1/aigov/inventories.
model_entryAI Factsheetsfactsheetssaas, software/v1/aigov/model_inventory/model_entries.
adls_containerCloud Object Storagecloud_object_storagesaas/adls/Azure Data Lake Storage container (Gen1 or Gen2).
gcs_bucketCloud Object Storagecloud_object_storagesaas/gcs/Google Cloud Storage bucket.
s3_bucketCloud Object Storagecloud_object_storagesaas, software/cos/S3-compatible bucket (IBM COS, AWS S3, MinIO, Ceph).
s3_objectCloud Object Storagecloud_object_storagesaas, software/cos//An object inside an s3_bucket.
storage_connectionCloud Object Storagecloud_object_storagesaas, software/local/storage_connectionsCredential-holding kind for object-store / file-system backends.
business_termData & AI Common Corecommon_coresaas, software/v3/glossary_termsA Business Term is a glossary entry that defines standardized business vocabulary and semantics for data governance in Watsonx Data.
business_termsData & AI Common Corecommon_coresaas, software/v3/glossary_termsBusiness Terms provides bulk creation functionality for multiple business terms in a single API call.
catalogData & AI Common Corecommon_coresaas, software/v2/catalogs?check_bucket_existence=falseA Catalog is a metadata repository that organizes and manages table schemas, partitions, and file locations for data lake operations in Watsonx Data.
categoryData & AI Common Corecommon_coresaas, software/v3/categoriesA Category is a hierarchical classification structure used to organize and group data assets, business terms, and other governance artifacts in Watsonx Data.
common_core_connectionData & AI Common Corecommon_coresaas, software/v2/connectionsA Connection is a data source configuration that enables Watsonx Data to access external databases, object storage systems, and other data repositories.
data_assetData & AI Common Corecommon_coresaas, software/v2/assetsA Data Asset uploads a local file (e.g.
package_extensionData & AI Common Corecommon_coresaas, software/v2/package_extensionsA Package Extension defines additional Python packages to include in a software specification.
projectData & AI Common Corecommon_coresaas, software/transactional/v2/projectsA Project is a collaborative workspace that organizes assets, tools, notebooks, jobs, and data connections for data science and AI workflows.
ruleData & AI Common Corecommon_coresaas, software/v3/enforcement/rulesA Rule is an automated policy enforcement mechanism that implements data governance controls in Watsonx Data.
rulesData & AI Common Corecommon_coresaas, software/v3/enforcement/rulesRules provides bulk creation functionality for multiple governance rules in a single API call.
software_specificationData & AI Common Corecommon_coresaas, software/v2/software_specificationsA Software Specification defines a runtime environment for deploying AI services and functions.
spaceData & AI Common Corecommon_coresaas, software/v2/spacesA Space is a deployment environment for promoting and managing machine learning models, functions, and other AI assets.
python_scriptLocallocalsaas, software/local/python_scriptExecutes a Python script locally.
data_martOpenScaleopenscalesaas, software/v2/data_marts.
data_setOpenScaleopenscalesaas, software/v2/data_sets.
guardrails_policyOpenScaleopenscalesaas, software/guardrails_manager/v2/policies.
integrated_systemOpenScaleopenscalesaas, software/v2/integrated_systems.
monitor_definitionOpenScaleopenscalesaas, software/v2/monitor_definitions.
monitor_instanceOpenScaleopenscalesaas, software/v2/monitor_instances.
service_providerOpenScaleopenscalesaas, software/v2/service_providers.
subscriptionOpenScaleopenscalesaas, software/v2/subscriptions.
agentwatsonx Orchestratewatsonx_orchestratesaas, software/v1/orchestrate/agentsAn Agent is a configurable AI assistant within Watsonx Orchestrate that can perform tasks using tools, collaborate with other agents, and leverage knowledge bases.
knowledge_basewatsonx Orchestratewatsonx_orchestratesaas, software/v1/orchestrate/knowledge-bases/documentsA Knowledge Base provides document-based context and information retrieval capabilities for agents.
modelwatsonx Orchestratewatsonx_orchestratesaas, software/v1/orchestrate/modelsA Model Configuration defines custom language model settings and parameters for use within Watsonx Orchestrate.
orchestrate_connectionwatsonx Orchestratewatsonx_orchestratesaas, software/v1/orchestrate/connections/applicationsA Connection represents authentication credentials and configuration for integrating external applications with Watsonx Orchestrate.
toolwatsonx Orchestratewatsonx_orchestratesaas, software/v1/orchestrate/toolsA Tool is a specification for a callable function or service that agents can invoke to perform actions and retrieve information.
toolkitwatsonx Orchestratewatsonx_orchestratesaas, software/v1/orchestrate/toolkitsAn MCP (Model Context Protocol) toolkit backed by a local or remote MCP server.
ai_servicewatsonx.aiwatsonx_aisaas, software/ml/v4/ai_services?version=2024-01-01An AI Service is a deployable code artifact for Watson Machine Learning.
autoai_experimentwatsonx.aiwatsonx_aisaas, software/ml/v4/trainings?version=2024-01-01An AutoAI Experiment runs a watsonx.ai AutoAI training to completion and surfaces the ranked pipeline leaderboard.
wml_deploymentwatsonx.aiwatsonx_aisaas, software/ml/v4/deployments?version=2024-01-01A WML Deployment creates a live online endpoint from an AI service or model.
wml_functionwatsonx.aiwatsonx_aisaas, software/ml/v4/functions?version=2024-01-01A Python function asset stored in Watson Machine Learning.
wml_modelwatsonx.aiwatsonx_aisaas, software/ml/v4/models?version=2024-01-01A WML Model materializes the winning pipeline of a completed AutoAI experiment as a deployable wml-hybrid_0.1 model.
wml_scriptwatsonx.aiwatsonx_aisaas, software/ml/v4/functions?version=2024-01-01A Python script asset stored in Watson Machine Learning.
database_connectionwatsonx.datawatsonx_datasaas, software/local/database_connectionsCredential-holding kind for external database connections consumed by database_registration.
database_registrationwatsonx.datawatsonx_datasaas, software/v3/database_registrationsRegisters an external database (Db2, PostgreSQL, MySQL, Kafka, etc.) with watsonx.data and atomically creates its associated catalog.
db2_enginewatsonx.datawatsonx_datasaas, software/v3/db2_enginesA Db2 Engine registers an external IBM Db2 instance as a federated query engine in watsonx.data.
ingestion_jobwatsonx.datawatsonx_datasaas, software/v3/lhingestion/api/v1/ingestion/jobsAn Ingestion Job loads data from object storage (CSV, Parquet, JSON, ORC, Avro, or txt) into a watsonx.data lakehouse table.
integrationwatsonx.datawatsonx_datasaas, software/v3/integrationsRegisters an external governance / lineage service with watsonx.data — IBM Knowledge Catalog (ikc), Apache Ranger (ranger), Manta lineage (manta), or Databand (databand).
milvus_servicewatsonx.datawatsonx_datasaas, software/v3/milvus_servicesA Milvus Service is the managed Milvus vector store in watsonx.data — the vector backend for embeddings / similarity search (e.g.
other_enginewatsonx.datawatsonx_datasaas, software/v3/other_enginesAn Other Engine registers a generic external query engine (anything not covered by the typed presto/spark/db2 kinds) with watsonx.data, identified by a display name plus a connection_string and an engine type.
prestissimo_enginewatsonx.datawatsonx_datasaas, software/v3/prestissimo_enginesA Prestissimo Engine is the C++ (Velox-backed) distributed SQL query engine in watsonx.data — the high-performance twin of the Java Presto engine.
presto_enginewatsonx.datawatsonx_datasaas, software/v3/presto_enginesA Presto Engine is a distributed SQL query engine in watsonx.data that runs analytical queries across lakehouse catalogs and object storage.
sal_enrichment_jobwatsonx.datawatsonx_datasaas, software/v3/sal_integration/enrichmentRuns a Semantic Automation Layer (SAL) metadata-enrichment job over a catalog/schema’s tables.
sal_enrichment_settingswatsonx.datawatsonx_datasaas, software/v3/sal_integration/enrichment/project_settingsPer-project metadata-enrichment settings for the Semantic Automation Layer (SAL) on watsonx.data.
sal_global_settingswatsonx.datawatsonx_datasaas, software/v3/sal_integration/enrichment/global_settingsGlobal metadata-enrichment defaults for the Semantic Automation Layer (SAL) on watsonx.data.
sal_glossarywatsonx.datawatsonx_datasoftware/v3/sal_integration/glossary/upload_processesUploads a business-glossary CSV into the watsonx.data Semantic Automation Layer (SAL) and polls the upload process to a terminal state, so a glossary can be uploaded before/around enrichment (richer term assignment).
sal_integrationwatsonx.datawatsonx_datasaas, software/v3/sal_integrationEnables the Semantic Automation Layer (SAL) on watsonx.data — the metadata-enrichment / auto-cataloging integration that backs IKC governance.
schemawatsonx.datawatsonx_datasaas, software/v3/catalogs//schemasA Schema is a logical grouping of tables within a watsonx.data catalog.
spark_enginewatsonx.datawatsonx_datasaas, software/v3/spark_enginesA Spark Engine is a serverless Apache Spark execution environment in watsonx.data used for data ingestion jobs, Spark SQL, and general Spark applications.
storage_registrationwatsonx.datawatsonx_datasaas, software/v3/storage_registrationsRegisters an object-store bucket with watsonx.data and atomically creates its associated lakehouse catalog (iceberg or hive).

​
Listing kinds yourself

Run wxctl resources to print the same catalog from your own build, with filters: 
wxctl resources                          # all supported kinds
wxctl resources --service watsonx_data   # filter to one service
wxctl resources --deployment software    # kinds available on Software
wxctl resources -o json                  # machine-readable output

​
Inspecting one kind

Use wxctl explain <kind> to see a kind’s fields, dependencies, endpoints, and authoring notes: 
wxctl explain agent          # fields + dependencies for the agent kind
wxctl explain presto_engine  # any kind from the table above
The output lists required vs optional fields, which fields accept ${kind.ref_name} references, the REST endpoints wxctl calls, and authoring rules for the YAML envelope.