> ## Documentation Index > Fetch the complete documentation index at: https://docs.mixpeek.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # Create a taxonomy from a document selection or a cluster run (one gesture) > Promote a document selection (e.g. a lasso/cluster selection in the cluster visualization) into a NEW flat taxonomy in one call. Creates, in order: 1. a **node collection** mirroring the selection's vector index (same vector name, dimensions, and feature_uri — no re-embedding, no GPU work), 2. a **vector-search retriever** over it, 3. the **flat taxonomy** wired to both (input_mappings map an incoming document's stored embedding onto the retriever), 4. the **nodes**, from one of two sources: - `documents` + `node_label`: one node whose anchor vector is the centroid of the referenced documents' stored vectors; - `cluster_run` (`{cluster_id, run_id}`): one node per cluster in that run, labeled with the cluster's label and anchored on its stored centroid, so a whole cluster run becomes a classifier in one call. The response's `nodes` lists every node created. Documents enriched through the taxonomy afterwards are labeled with the nearest node's `label`. To add more nodes later, use `POST /v1/taxonomies/{taxonomy_id}/nodes/from-documents`. Resources created before a failing step are cleaned up best-effort. ## OpenAPI ````yaml post /v1/taxonomies/from-documents openapi: 3.1.0 info: title: Mixpeek API description: >- This is the Mixpeek API, providing access to various endpoints for data processing and retrieval. termsOfService: https://mixpeek.com/terms contact: name: Mixpeek Support url: https://mixpeek.com/contact email: info@mixpeek.com version: '0.82' servers: - url: https://api.mixpeek.com description: Production security: - BearerAuth: [] paths: /v1/taxonomies/from-documents: post: tags: - Taxonomies summary: >- Create a taxonomy from a document selection or a cluster run (one gesture) description: >- Promote a document selection (e.g. a lasso/cluster selection in the cluster visualization) into a NEW flat taxonomy in one call. Creates, in order: 1. a **node collection** mirroring the selection's vector index (same vector name, dimensions, and feature_uri — no re-embedding, no GPU work), 2. a **vector-search retriever** over it, 3. the **flat taxonomy** wired to both (input_mappings map an incoming document's stored embedding onto the retriever), 4. the **nodes**, from one of two sources: - `documents` + `node_label`: one node whose anchor vector is the centroid of the referenced documents' stored vectors; - `cluster_run` (`{cluster_id, run_id}`): one node per cluster in that run, labeled with the cluster's label and anchored on its stored centroid, so a whole cluster run becomes a classifier in one call. The response's `nodes` lists every node created. Documents enriched through the taxonomy afterwards are labeled with the nearest node's `label`. To add more nodes later, use `POST /v1/taxonomies/{taxonomy_id}/nodes/from-documents`. Resources created before a failing step are cleaned up best-effort. operationId: create_taxonomy_from_documents_v1_taxonomies_from_documents_post parameters: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/CreateTaxonomyFromDocumentsRequest' description: >- Keys this body does not declare are refused with 422 extra_forbidden naming the accepted keys (since 2026-11-02). x-unknown-keys: until: '2026-11-02' then: 422 extra_forbidden responses: '200': description: Successful Response content: application/json: schema: $ref: '#/components/schemas/TaxonomyNodeFromDocumentsResponse' '400': description: Bad Request content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '401': description: Unauthorized content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '403': description: Forbidden content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '404': description: Not Found content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '422': description: Unprocessable Entity content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '429': description: Too Many Requests content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '500': description: Internal Server Error content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' '503': description: Service Unavailable content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' security: - BearerAuth: [] NamespaceHeader: [] components: schemas: CreateTaxonomyFromDocumentsRequest: properties: node_label: anyOf: - type: string minLength: 1 - type: 'null' title: Node Label description: >- Label of the node created from `documents`. Required with `documents`; with `cluster_run` each node takes its cluster's label. documents: anyOf: - items: $ref: '#/components/schemas/DocumentRef' type: array maxItems: 200 minItems: 1 - type: 'null' title: Documents description: >- Documents whose stored vectors are averaged into the one node's anchor. Give this or `cluster_run`. node_fields: anyOf: - additionalProperties: true type: object - type: 'null' title: Node Fields description: >- Optional extra fields stored on the node document (e.g. `description`). Only fields listed in the taxonomy's enrichment_fields are copied during enrichment. vector_name: anyOf: - type: string - type: 'null' title: Vector Name description: >- Optional explicit vector (index) name for the anchor. If omitted, it is derived from the taxonomy's node collection vector indexes. provenance: anyOf: - additionalProperties: true type: object - type: 'null' title: Provenance description: >- Optional freeform origin context (e.g. cluster_id, run_id, selection type). Stored on the node document under `metadata.promotion` for auditability. cluster_run: anyOf: - $ref: '#/components/schemas/ClusterRunSource' - type: 'null' description: >- Promote a whole cluster run in one call: one node per cluster, labelled with the cluster label, anchored on the cluster's stored centroid vector (no re-embedding). Give this or `documents`. taxonomy_name: type: string minLength: 1 title: Taxonomy Name description: Unique name for the new taxonomy. description: anyOf: - type: string - type: 'null' title: Description description: Optional taxonomy description. enrichment_target_field: anyOf: - type: string - type: 'null' title: Enrichment Target Field description: >- Field name written onto enriched documents (defaults to '_label'). type: object required: - taxonomy_name title: CreateTaxonomyFromDocumentsRequest description: >- One-gesture promotion: create a flat taxonomy (node collection + vector-search retriever) AND its nodes, from a document selection or from a whole cluster run. The node collection mirrors the source collection's vector index (same vector name / dimensions / feature_uri), so classification is guaranteed dimension-compatible with the data the nodes came from. Give exactly one source: ``documents`` with ``node_label`` (one node whose anchor averages the documents), or ``cluster_run`` (one node per cluster in that run, labelled with the cluster's label, its stored centroid as the anchor). TaxonomyNodeFromDocumentsResponse: properties: taxonomy_id: type: string title: Taxonomy Id taxonomy_name: type: string title: Taxonomy Name node_document_id: type: string title: Node Document Id description: ID of the created node document (the taxonomy node). node_collection_id: type: string title: Node Collection Id description: The taxonomy's node (source) collection. node_label: type: string title: Node Label vector_name: type: string title: Vector Name description: Vector index name the anchor was stored under. vector_dimensions: type: integer title: Vector Dimensions documents_used: type: integer title: Documents Used description: How many referenced documents contributed to the anchor. documents_skipped: items: $ref: '#/components/schemas/SkippedDocumentRef' type: array title: Documents Skipped taxonomy_created: type: boolean title: Taxonomy Created description: True when this call also created the taxonomy (one-gesture mode). default: false retriever_id: anyOf: - type: string - type: 'null' title: Retriever Id description: Retriever created for the taxonomy (one-gesture mode only). enrichment_hint: type: string title: Enrichment Hint description: >- Plain-language description of how the new node will be applied to future data. nodes: anyOf: - items: $ref: '#/components/schemas/PromotedNode' type: array - type: 'null' title: Nodes description: >- Every node created, when the source was a `cluster_run` (one per cluster). `node_document_id` and `node_label` name the first. type: object required: - taxonomy_id - taxonomy_name - node_document_id - node_collection_id - node_label - vector_name - vector_dimensions - documents_used - enrichment_hint title: TaxonomyNodeFromDocumentsResponse description: Result of promoting a document selection to a taxonomy node. ErrorResponse: properties: success: type: boolean title: Success description: Always false for error responses default: false status: type: integer title: Status description: HTTP status code for this error error: $ref: '#/components/schemas/ErrorDetail' description: Error details payload type: object required: - status - error title: ErrorResponse description: Error response model. examples: - error: details: id: ns_123 resource: namespace message: Namespace not found type: NotFoundError status: 404 success: false DocumentRef: properties: collection_id: type: string minLength: 1 title: Collection Id description: Collection the document lives in. document_id: type: string minLength: 1 title: Document Id description: The document's ID. type: object required: - collection_id - document_id title: DocumentRef description: A reference to one document in one collection. ClusterRunSource: properties: cluster_id: type: string title: Cluster Id description: The cluster that ran. run_id: type: string title: Run Id description: >- The run to promote, exactly (GET /v1/clusters/{cluster_id}/executions lists them). A run's own artifact is read; no other run is substituted. type: object required: - cluster_id - run_id title: ClusterRunSource description: A completed cluster run whose clusters become the taxonomy's nodes. SkippedDocumentRef: properties: collection_id: anyOf: - type: string - type: 'null' title: Collection Id document_id: anyOf: - type: string - type: 'null' title: Document Id reason: type: string title: Reason type: object required: - reason title: SkippedDocumentRef description: A document reference that could not contribute to the node anchor. PromotedNode: properties: node_document_id: type: string title: Node Document Id node_label: type: string title: Node Label cluster_id: type: string title: Cluster Id member_count: anyOf: - type: integer - type: 'null' title: Member Count type: object required: - node_document_id - node_label - cluster_id title: PromotedNode description: One taxonomy node created from a cluster run. ErrorDetail: properties: message: type: string title: Message description: Human-readable error message type: type: string title: Type description: Stable error type identifier (machine-readable) code: anyOf: - type: string - type: 'null' title: Code description: >- Fine-grained error code for programmatic handling (e.g., namespace_name_taken, feature_extractor_not_found). Present only when consumers may need to branch on a specific error condition. details: anyOf: - additionalProperties: true type: object - type: 'null' title: Details description: >- Optional structured details to help debugging (validation errors, IDs, etc.) type: object required: - message - type title: ErrorDetail description: Error detail model. securitySchemes: BearerAuth: type: http scheme: bearer description: >- Mixpeek API key, sent as `Authorization: Bearer mxp_sk_...`. Create one in Studio under Settings → API Keys, or with an admin key via `POST /v1/organizations/users/{user_email}/api-keys`. A missing, malformed, unknown, revoked, inactive or expired key returns 401; a key without the permission, scope or plan an operation needs returns 403. NamespaceHeader: type: apiKey in: header name: X-Namespace description: >- Namespace id (`ns_...`), not the namespace name. This scopes the request rather than authenticating it, and it is required on every operation marked `x-mixpeek-namespace-scoped`. ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.