# strattum.ai

- [strattum.ai](https://strattumai.mintlify.app/index.md): Infraestrutura de contexto para times de dados do mid-market. Transforme dados fragmentados em contexto acionável para agentes de IA.
- [O que é a Strattum](https://strattumai.mintlify.app/platform/what-is-strattum.md): A infraestrutura que transforma dados fragmentados em contexto operacional confiável para agentes de IA em médias empresas.
- [Conceitos-chave](https://strattumai.mintlify.app/platform/concepts.md): Os termos centrais da plataforma — contexto, entidade, grafo, ontologia, Medallion e GraphRAG — com uma definição direta e um exemplo para cada um.
- [Dashboard](https://strattumai.mintlify.app/console/dashboard.md): Visão geral da saúde da plataforma em tempo real — conectores, pipelines, memória, conhecimento, evals e infraestrutura em um único painel.
- [Explorar entidades](https://strattumai.mintlify.app/memory/entities.md): Como visualizar e inspecionar os perfis consolidados de cada entidade em Memory → Entities, no Console.
- [Graph Explorer](https://strattumai.mintlify.app/memory/graph-explorer.md): Como navegar visualmente as relações entre entidades do Memory — quais empresas, contratos e pessoas estão conectados.
- [NER Review](https://strattumai.mintlify.app/memory/ner-review.md): Fila de revisão de entidades detectadas automaticamente em fontes não-estruturadas. Controle sobre o que entra no Knowledge Graph.
- [Buscar no Knowledge](https://strattumai.mintlify.app/knowledge/search.md): Como fazer busca semântica no Knowledge pelo Console — testar a indexação e ver quais trechos o agente encontraria.
- [Organizar em Collections](https://strattumai.mintlify.app/knowledge/collections.md): Como agrupar documentos do Knowledge por tema para que agentes consultem apenas o subconjunto relevante a cada tarefa.
- [BYOC — instalação, manutenção e acessos](https://strattumai.mintlify.app/faq/byoc.md): Como funciona o modelo Bring Your Own Cloud: o processo de instalação, o processo de manutenção e a que o time da Strattum tem acesso.
- [Requisitos e tiers](https://strattumai.mintlify.app/getting-started/requirements-tiers.md): Requisitos mínimos de infraestrutura e a comparação entre os três tiers de deploy — Starter, Growth e Scale — com capacidade e quando migrar.
- [Instalação Local](https://strattumai.mintlify.app/getting-started/installation-local.md): Configure o strattum.ai localmente com Docker Compose em menos de 15 minutos.
- [Instalação na AWS](https://strattumai.mintlify.app/getting-started/installation-aws.md): Deploy do strattum.ai em uma instância EC2 na AWS com Docker Compose (tier Starter) ou EKS (tiers Growth e Scale).
- [Instalação na GCP](https://strattumai.mintlify.app/getting-started/installation-gcp.md): Deploy do strattum.ai em uma instância Compute Engine na GCP com Docker Compose (tier Starter) ou GKE (tiers Growth e Scale).
- [Instalação no Azure](https://strattumai.mintlify.app/getting-started/installation-azure.md): Deploy do strattum.ai em uma Azure VM com Docker Compose (tier Starter) ou AKS (tiers Growth e Scale).
- [Configuração Pós-Instalação](https://strattumai.mintlify.app/getting-started/configuration.md): Configure conectores, ontologia, Knowledge, Skills e o MCP Server após a instalação da plataforma. Tempo estimado: 2–4 horas para um setup inicial funcional.
- [Conectores — Visão Geral](https://strattumai.mintlify.app/connectors/overview.md): Conecte o strattum.ai às suas fontes de dados. Cada conector alimenta Data Pipelines, Memory e Knowledge automaticamente.
- [PostgreSQL](https://strattumai.mintlify.app/data-pipelines/connectors/postgres.md): Configure o conector PostgreSQL para ingerir tabelas de bancos relacionais na plataforma strattum.ai.
- [MySQL](https://strattumai.mintlify.app/data-pipelines/connectors/mysql.md): Configure o conector MySQL para ingerir tabelas de bancos relacionais na plataforma strattum.ai.
- [MongoDB](https://strattumai.mintlify.app/data-pipelines/connectors/mongodb.md): Configure o conector MongoDB para ingerir coleções de bancos NoSQL na plataforma strattum.ai.
- [BigQuery](https://strattumai.mintlify.app/data-pipelines/connectors/bigquery.md): Configure o conector BigQuery para ingerir tabelas do data warehouse do Google Cloud na plataforma strattum.ai.
- [Salesforce](https://strattumai.mintlify.app/data-pipelines/connectors/salesforce.md): Configure o conector Salesforce para sincronizar contas, contatos e oportunidades do CRM com a plataforma strattum.ai.
- [HubSpot CRM](https://strattumai.mintlify.app/data-pipelines/connectors/hubspot.md): Configure o conector HubSpot para sincronizar contatos, empresas e negócios com a plataforma strattum.ai.
- [Zendesk](https://strattumai.mintlify.app/data-pipelines/connectors/zendesk.md): Configure o conector Zendesk para ingerir tickets, usuários e organizações na plataforma strattum.ai.
- [Jira](https://strattumai.mintlify.app/data-pipelines/connectors/jira.md): Configure o conector Jira para sincronizar issues, comentários, projetos e usuários com a plataforma strattum.ai.
- [ClickUp](https://strattumai.mintlify.app/data-pipelines/connectors/clickup.md): Configure o conector ClickUp para sincronizar tasks, spaces, lists e membros com a plataforma strattum.ai.
- [Slack](https://strattumai.mintlify.app/data-pipelines/connectors/slack.md): Configure o conector Slack para sincronizar mensagens de canais com a plataforma strattum.ai.
- [Airtable](https://strattumai.mintlify.app/data-pipelines/connectors/airtable.md): Configure o conector Airtable para sincronizar bases, tabelas e registros com a plataforma strattum.ai.
- [Asaas](https://strattumai.mintlify.app/data-pipelines/connectors/asaas.md): Configure o conector Asaas para sincronizar clientes, cobranças, assinaturas e transferências do gateway de pagamentos com a plataforma strattum.ai.
- [Google Drive](https://strattumai.mintlify.app/data-pipelines/connectors/google-drive.md): Configure o conector Google Drive para ingerir documentos e planilhas na plataforma strattum.ai.
- [Microsoft 365 (SharePoint)](https://strattumai.mintlify.app/data-pipelines/connectors/microsoft-365.md): Configure o conector Microsoft 365 para indexar bibliotecas de documentos de sites do SharePoint na plataforma strattum.ai.
- [Notion](https://strattumai.mintlify.app/data-pipelines/connectors/notion.md): Configure o conector Notion para ingerir páginas e bancos de dados do Notion na plataforma strattum.ai.
- [Confluence](https://strattumai.mintlify.app/data-pipelines/connectors/confluence.md): Configure o conector Confluence para ingerir páginas de espaços do Confluence Cloud na plataforma strattum.ai.
- [Google Analytics](https://strattumai.mintlify.app/data-pipelines/connectors/google-analytics.md): Configure o conector Google Analytics para ingerir métricas de sessões, páginas e eventos do GA4 na plataforma strattum.ai.
- [Frequência de sync](https://strattumai.mintlify.app/data-pipelines/sync-frequency.md): Como a plataforma decide com que frequência cada conector atualiza os dados, e o que cada opção implica.
- [Local Development](https://strattumai.mintlify.app/data-pipelines/local-development.md): Step-by-step guide to run strattum-data locally — Prefect Server, pipelines worker and supporting infrastructure.
- [Data Pipelines](https://strattumai.mintlify.app/data-pipelines/overview.md): A camada de ingestão que traz dados de qualquer fonte para dentro da infraestrutura do cliente, limpos e prontos para consumo.
- [Data Catalog](https://strattumai.mintlify.app/data-catalog/overview.md): Data lake on-premise na infraestrutura do cliente. Organizado, governado e descobrível. Base para Memory, Knowledge e Skills.
- [Memory — Enterprise Knowledge Graph](https://strattumai.mintlify.app/memory/overview.md): Tudo que se sabe sobre uma entidade, em um único lugar. O grafo de contexto que transforma agentes genéricos em especialistas no seu negócio.
- [Entity Resolution](https://strattumai.mintlify.app/memory/entity-resolution.md): Como o Memory descobre que registros espalhados em CRM, ERP, WhatsApp e email são a mesma entidade — matching determinístico, probabilístico e bypass por external_id.
- [GraphRAG](https://strattumai.mintlify.app/memory/graphrag.md): Como o Memory expande o contexto de uma entidade pelas suas relações — profundidade de traversal configurável por request, de lookup simples a dois hops.
- [Ontologia — como funciona e como atualizar](https://strattumai.mintlify.app/faq/ontology.md): O que é a ontologia do Memory, como você atualiza quando o negócio muda e qual o nível de dependência do time da Strattum.
- [Knowledge — Base de Conhecimento Corporativo](https://strattumai.mintlify.app/knowledge/overview.md): O conhecimento que o agente consulta antes de responder. Base de conhecimento corporativa consultável via RAG — políticas, manuais e documentação interna.
- [Configuração de Indexação](https://strattumai.mintlify.app/knowledge/operational-sources/indexing-configuration.md): Como configurar chunking, max tokens, filtros estruturais e SLA para cada campo de uma Fonte Operacional no Knowledge.
- [Skills — Automações por Agentes](https://strattumai.mintlify.app/skills/overview.md): Skills são scripts executados por agentes para automações, análises e relatórios. Versionados em Git, executados com segurança via sandbox isolado.
- [Evals](https://strattumai.mintlify.app/evals/overview.md): Avaliação da qualidade do contexto entregue aos agentes — completude, precisão e relevância. Mede o que o time de dados controla.
- [Observability](https://strattumai.mintlify.app/observability/overview.md): Monitoramento operacional da saúde de dados, pipelines e contexto — fontes desatualizadas, schemas quebrados, campos faltando — antes que impactem o agente.
- [MCP Server](https://strattumai.mintlify.app/mcp-server/index.md): Conecte Claude Code, ChatGPT e Microsoft Copilot diretamente à memória e ao conhecimento da strattum.ai via Model Context Protocol.
- [Conectar via Claude Code](https://strattumai.mintlify.app/mcp-server/claude-code.md): Configure o MCP Server da strattum.ai no Claude Code usando transporte stdio — processo local, sem latência de rede.
- [Conectar via ChatGPT](https://strattumai.mintlify.app/mcp-server/chatgpt.md): Integre o MCP Server da strattum.ai ao ChatGPT usando GPT Actions — a interface de plugins e ferramentas externas da OpenAI.
- [Conectar via Microsoft Copilot](https://strattumai.mintlify.app/mcp-server/microsoft-copilot.md): Configure o MCP Server da strattum.ai no Microsoft Copilot Studio e no Microsoft 365 Copilot usando transporte SSE (HTTP).
- [Cursor setup](https://strattumai.mintlify.app/ai-tools/cursor.md): Configure Cursor for your documentation workflow
- [Claude Code setup](https://strattumai.mintlify.app/ai-tools/claude-code.md): Configure Claude Code for your documentation workflow
- [Windsurf setup](https://strattumai.mintlify.app/ai-tools/windsurf.md): Configure Windsurf for your documentation workflow
- [Gestão de acesso](https://strattumai.mintlify.app/faq/access-management.md): Como o controle de quem vê o quê funciona na plataforma, e o que acontece com fontes como BigQuery e Databricks onde o ACL da origem não propaga.
- [Identidade (Zitadel)](https://strattumai.mintlify.app/admin/identity-zitadel.md): O Zitadel é o identity provider da instalação: onde você gerencia usuários, papéis, SSO e MFA que governam o acesso à plataforma.
- [Gerenciar a ontologia](https://strattumai.mintlify.app/admin/manage-ontology.md): O passo a passo operacional para editar, validar, ativar e reverter versões da ontologia do Memory sem derrubar o grafo em produção.
- [Transformations (dbt)](https://strattumai.mintlify.app/admin/transformations.md): Como criar data marts da camada semantic/ com dbt: métricas pré-calculadas, versionadas no Workspace Git e consultadas pelas Skills.
- [Conceitos da ontologia](https://strattumai.mintlify.app/admin/ontology-concepts.md): As quatro ideias que sustentam uma ontologia — entidade, a diferença entre id_field e er_fields, o que é um identificador e como uma aresta liga ids.
- [Escrevendo uma ontologia](https://strattumai.mintlify.app/admin/ontology-writing.md): A estrutura do arquivo YAML — nós, arestas, normalizadores e identificadores com nome próprio — campo a campo, com um exemplo completo que roda.
- [Campos pesquisáveis](https://strattumai.mintlify.app/admin/ontology-searchable-fields.md): Por que uma coisa não aparece na busca — as três buscas diferentes, o que fica achável de graça, o que precisa declarar e quando usar indexed_fields.
- [Padrões e armadilhas](https://strattumai.mintlify.app/admin/ontology-patterns.md): A regra de ouro do er_fields, o teste de uma pergunta, os seis padrões, as armadilhas que já aconteceram de verdade e o checklist antes de ativar.
- [Audit Log](https://strattumai.mintlify.app/admin/audit-log.md): Onde consultar o registro de ações da plataforma, incluindo as ações do time da Strattum, e o audit trail de acesso a cada dataset.
- [Campos PII e mascaramento](https://strattumai.mintlify.app/admin/pii-masking.md): Como marcar campos com dado pessoal (CPF, email, telefone) para aparecer mascarados por papel e como aplicar políticas de row-level security.
- [Ingestão de dados e hospedagem](https://strattumai.mintlify.app/faq/data-hosting.md): Quanto custa hospedar, quantas linhas já rodaram em teste e qual o tempo de refresh de cada conector.
- [Manutenção e upgrades](https://strattumai.mintlify.app/admin/maintenance-upgrades.md): Como a plataforma é atualizada em janela de manutenção, como o backup funciona e como migrar do tier Starter para Growth.
- [Monitoramento](https://strattumai.mintlify.app/admin/monitoring.md): Como o admin acompanha a saúde dos serviços, o estado dos pipelines e o frescor dos dados na plataforma.
- [Platform Architecture](https://strattumai.mintlify.app/platform-architecture.md): Como as 3 camadas da plataforma strattum.ai transformam dados fragmentados em contexto acionável para agentes de IA.
- [Trust Center](https://strattumai.mintlify.app/trust/index.md): Como a Strattum protege dados, privacidade e operação dos nossos clientes.
- [Segurança](https://strattumai.mintlify.app/trust/security.md): Controles técnicos e operacionais que protegem dados e serviços da Strattum.
- [Privacidade](https://strattumai.mintlify.app/trust/privacy.md): Conformidade com LGPD, direitos dos titulares e compromisso com dados pessoais.
- [Compliance](https://strattumai.mintlify.app/trust/compliance.md): Certificações, questionários pré-preenchidos, programa anticorrupção e código de ética.
- [AI & Data Use](https://strattumai.mintlify.app/trust/ai-data-use.md): Como dados e modelos de IA operam na plataforma Strattum. Commits públicos sobre treino, retenção e controle.
- [Subprocessadores](https://strattumai.mintlify.app/trust/subprocessors.md): Terceiros que tratam dados pessoais em nome da Strattum. Lista pública e política de notificação.
- [Documentos sob NDA](https://strattumai.mintlify.app/trust/documents.md): Políticas internas, relatórios técnicos, questionários preenchidos — disponíveis após assinatura de NDA.
- [Contato](https://strattumai.mintlify.app/trust/contact.md): Canais dedicados para segurança, privacidade, compliance e relacionamento com o Trust Center.
- [Conectores não sincronizam](https://strattumai.mintlify.app/troubleshooting/connectors.md): Diagnóstico dos problemas mais comuns de conectores: teste de conexão que falha, sync travado, status Erro, credenciais expiradas e primeira carga lenta.
- [Problemas no Memory](https://strattumai.mintlify.app/troubleshooting/memory.md): Diagnóstico dos problemas mais comuns do Memory: fila de revisão grande demais, entidades duplicadas, entidade que não aparece e confidence threshold mal calibrado.
- [Knowledge sem resultados](https://strattumai.mintlify.app/troubleshooting/knowledge.md): Diagnóstico dos problemas mais comuns do Knowledge: busca que não retorna nada, documento não indexado, chunks com status não-verde e documento que não aparece na fonte.
- [MCP não conecta](https://strattumai.mintlify.app/troubleshooting/mcp.md): Diagnóstico dos problemas mais comuns do MCP Server: cliente que não conecta, falha de autenticação e ferramentas que não aparecem na lista.
- [Visão Geral da API](https://strattumai.mintlify.app/api-reference/introduction.md): Base URLs, autenticação, códigos de erro e convenções de todas as APIs da strattum.ai.
- [Memory API](https://strattumai.mintlify.app/api-reference/memory/introduction.md): Contexto estruturado de entidades via graph (FalkorDB) e banco relacional (PostgreSQL).
- [Health check](https://strattumai.mintlify.app/api-reference/health/health-check.md)
- [List entities by type](https://strattumai.mintlify.app/api-reference/memory/list-entities-by-type.md): Returns a paginated list of entities filtered by ``entity_type``. Results are sorted by last updated (descending).
- [Create or retrieve an entity](https://strattumai.mintlify.app/api-reference/memory/create-or-retrieve-an-entity.md): Idempotent endpoint: inserts a new entity into the registry if one with the same name and type does not already exist.  Returns the entity_id and a ``created`` flag indicating whether a new row was inserted.  When ``source`` is provided the endpoint also creates a source node and a :MENTIONED_IN edg…
- [Entity counts grouped by type](https://strattumai.mintlify.app/api-reference/memory/entity-counts-grouped-by-type.md): Returns a dict mapping each entity_type to its total count.
- [Get entity profile](https://strattumai.mintlify.app/api-reference/memory/get-entity-profile.md): Returns the full entity profile from the registry, including the golden record (merged field values from all sources), source attribution map, tags and timestamps.
- [Get entity timeline](https://strattumai.mintlify.app/api-reference/memory/get-entity-timeline.md): Returns a paginated array of events for the entity. Events are stored in FalkorDB as :Event nodes connected via :HAD_EVENT.
- [Get entity graph context](https://strattumai.mintlify.app/api-reference/memory/get-entity-graph-context.md): Returns neighbouring nodes and relationships for an entity. Use depth=none for the root node only, depth=immediate for 1-hop neighbours.
- [Get full tenant graph](https://strattumai.mintlify.app/api-reference/memory/get-full-tenant-graph.md): Returns all entity nodes and their edges for the tenant in the v2 contract shape (nodes carry ``display_tier``/``display_color`` per ADR-010; edges use ``source``/``target`` with ``last_activity_at``). Intended for the Memory graph visualisation where all entities are displayed simultaneously. Use `…
- [Execute a read-only Cypher query](https://strattumai.mintlify.app/api-reference/memory/execute-a-read-only-cypher-query.md): Runs a user-supplied Cypher query against the tenant Memory graph and returns the result in the same v2 contract shape as GET /v1/memory/graph. Backs the Console UI 'Cypher view' feature.
- [Get entity source map](https://strattumai.mintlify.app/api-reference/memory/get-entity-source-map.md): Returns detailed source provenance — which data systems contributed to this entity and via which match type.
- [Get formatted agent context](https://strattumai.mintlify.app/api-reference/memory/get-formatted-agent-context.md): Returns an assembled Markdown context document ready for injection into an agent prompt. Includes profile, source provenance, 1-hop relationships and ranked recent events. Respects the token budget (default 4000 tokens).
- [Search entities](https://strattumai.mintlify.app/api-reference/memory/search-entities.md): Search entities by email, name, phone, external_id or free-text query. At least one field must be provided. Returns up to `limit` results sorted by last updated.
- [Get Memory runtime settings](https://strattumai.mintlify.app/api-reference/memory/get-memory-runtime-settings.md): Returns the current runtime configuration for the Memory service.
- [Update entity resolution confidence threshold](https://strattumai.mintlify.app/api-reference/memory/update-entity-resolution-confidence-threshold.md): Persists the entity resolution confidence threshold in ``memory_settings``. The Memory Worker reads this value at the start of each pipeline run. Valid range: 0.0 – 1.0 (default 0.85).
- [Entity counts by source connector](https://strattumai.mintlify.app/api-reference/memory/entity-counts-by-source-connector.md): Returns the number of distinct entities ingested from each source connector (e.g. hubspot, zendesk, salesforce), derived from ``entity_source_mapping``.  Used by the pipeline status panel in the Console UI to show per-connector entity coverage.
- [Reset memory watermarks and trigger a full graph rebuild](https://strattumai.mintlify.app/api-reference/memory/reset-memory-watermarks-and-trigger-a-full-graph-rebuild.md): Deletes all rows from ``memory_worker_watermarks``, forcing the Memory Worker to perform a full historical re-scan on its next run. Immediately triggers ``memory_worker_flow/memory_worker`` via the Prefect API (fire-and-forget). Returns the number of watermark rows cleared and the Prefect flow run I…
- [List per-source NER confidence thresholds](https://strattumai.mintlify.app/api-reference/ner-review/list-per-source-ner-confidence-thresholds.md): Returns all per-source confidence threshold configurations. Thresholds control whether a detected entity is auto-confirmed, queued for review, or silently rejected.
- [Update NER threshold for a source type](https://strattumai.mintlify.app/api-reference/ner-review/update-ner-threshold-for-a-source-type.md): Persist new threshold values for a given source type. ``auto_confirm_threshold`` must be >= ``review_threshold``.
- [List NER review queue items](https://strattumai.mintlify.app/api-reference/ner-review/list-ner-review-queue-items.md): Returns a paginated list of NER review queue items. Filter by ``status`` (default: pending), ``source_type``, and ``since`` (ISO-8601). Results are ordered by creation time ascending.
- [Get a single NER review queue item](https://strattumai.mintlify.app/api-reference/ner-review/get-a-single-ner-review-queue-item.md): Fetch a review queue item by its UUID.
- [Apply corrections to a NER review item](https://strattumai.mintlify.app/api-reference/ner-review/apply-corrections-to-a-ner-review-item.md): Submit per-entity corrections (confirm/reject/remap) for a pending item. Confirmed and remapped entities trigger the alias feedback loop (T3.7): the matched text is recorded as a known alias for future NER dictionary passes. Remapping (T3.6) allows the reviewer to link the detected text to a differe…
- [Bulk-confirm all detected entities in a review item](https://strattumai.mintlify.app/api-reference/ner-review/bulk-confirm-all-detected-entities-in-a-review-item.md): Confirms all detected entities in the item without per-entity review. Equivalent to submitting corrections=[{action: confirm}] for every entity. Triggers the alias feedback loop for all confirmed entities.
- [Get the current active ontology](https://strattumai.mintlify.app/api-reference/ontology/get-the-current-active-ontology.md): Returns the currently active graph_mapping. Returns 404 if none is configured.
- [Save a new ontology draft version](https://strattumai.mintlify.app/api-reference/ontology/save-a-new-ontology-draft-version.md): Validates and saves a new version. NOT automatically activated — use POST /v1/ontology/apply to make it active.
- [Validate ontology YAML structure](https://strattumai.mintlify.app/api-reference/ontology/validate-ontology-yaml-structure.md): Parses and validates the YAML without saving. Returns errors if invalid.
- [Apply a saved ontology version](https://strattumai.mintlify.app/api-reference/ontology/apply-a-saved-ontology-version.md): Activates the specified version. All other versions are deactivated. If MEMORY_WORKER_MAPPING_PATH is set, also writes the YAML to disk. After activation, initialises FalkorDB node labels for every node defined in the YAML (PRD-005 T4.1, T4.2). FalkorDB errors are non-fatal and logged as warnings.
- [List all saved ontology versions](https://strattumai.mintlify.app/api-reference/ontology/list-all-saved-ontology-versions.md): Returns all ontology versions wrapped in { records, count } (newest first).
- [List node labels from the active ontology](https://strattumai.mintlify.app/api-reference/ontology/list-node-labels-from-the-active-ontology.md): Parses the active graph_mapping YAML and returns the list of node labels. Returns an empty list if no ontology is configured.
- [Get ontology schema status](https://strattumai.mintlify.app/api-reference/ontology/get-ontology-schema-status.md): Returns whether an active ontology is configured and lists its node labels and relationship types. Useful for the UI to determine whether the Memory Worker has a valid schema to process entities against. (PRD-005 T4.4)
- [Ontology structure for graph visualisation](https://strattumai.mintlify.app/api-reference/ontology/ontology-structure-for-graph-visualisation.md): Parses the active ontology YAML and returns nodes, edges, and entity counts suitable for rendering a knowledge graph overview.
- [Get entity resolution suggestions for a set of connectors](https://strattumai.mintlify.app/api-reference/ontology/get-entity-resolution-suggestions-for-a-set-of-connectors.md): Given a comma-separated list of connector IDs, returns suggestions for Customer 360 unification based on shared entity labels across connectors. Returns no suggestions when fewer than two connectors are provided or when no compatible pair/triple is found in the compatibility matrix. (PRD-005 T6.2)
- [Inject phantom (demo) entities into Memory](https://strattumai.mintlify.app/api-reference/phantom/inject-phantom-demo-entities-into-memory.md): Inserts sample entities for each requested connector directly into the Memory layer (PostgreSQL entity_registry + FalkorDB graph nodes). All entities are tagged 'phantom' and marked with is_phantom=true in the graph. The operation is idempotent — calling it twice updates existing records without cre…
- [Remove all phantom (demo) entities from Memory](https://strattumai.mintlify.app/api-reference/phantom/remove-all-phantom-demo-entities-from-memory.md): Deletes all records tagged 'phantom' from PostgreSQL entity_registry and all nodes where is_phantom=true from FalkorDB (including their edges). Returns the total count of PostgreSQL rows removed.
- [Get active corporate glossary](https://strattumai.mintlify.app/api-reference/glossary/get-active-corporate-glossary.md): Read path: served from Postgres mirror (fast, no Git I/O).
- [Save and activate a new glossary version](https://strattumai.mintlify.app/api-reference/glossary/save-and-activate-a-new-glossary-version.md): Write path (GitOps):   1. Validate YAML.   2. Write workspace file + commit_and_push.   3. On push conflict: sync + retry once (returns 409 if still fails).   4. Sync Postgres mirror.
- [List all glossary versions](https://strattumai.mintlify.app/api-reference/glossary/list-all-glossary-versions.md)
- [List auto-learned glossary suggestions](https://strattumai.mintlify.app/api-reference/glossary/list-auto-learned-glossary-suggestions.md)
- [Submit a new auto-detected glossary suggestion](https://strattumai.mintlify.app/api-reference/glossary/submit-a-new-auto-detected-glossary-suggestion.md): Called by the MCP Server assembler (fire-and-forget) when a potential new term is detected in a user query. Uses upsert semantics: if the term already exists as a pending suggestion, the occurrence counter is incremented.
- [Approve a glossary suggestion](https://strattumai.mintlify.app/api-reference/glossary/approve-a-glossary-suggestion.md): Approves a pending suggestion and adds the term to the active glossary. Creates a new glossary version with the approved term added, committed to the workspace Git repo (GitOps mode) or written directly to Postgres (legacy mode).
- [Reject a glossary suggestion](https://strattumai.mintlify.app/api-reference/glossary/reject-a-glossary-suggestion.md): Reject path stays DB-only — no glossary content change.
- [Knowledge API](https://strattumai.mintlify.app/api-reference/knowledge/introduction.md): Busca semântica e gerenciamento de documentos via Qdrant (vector search) e PostgreSQL.
- [Health check](https://strattumai.mintlify.app/api-reference/health/health-check.md)
- [Semantic search over indexed knowledge documents](https://strattumai.mintlify.app/api-reference/knowledge/semantic-search-over-indexed-knowledge-documents.md): Embed the query using the configured LLM embedding model and perform semantic search against the Qdrant collection.
- [List indexed knowledge documents](https://strattumai.mintlify.app/api-reference/knowledge/list-indexed-knowledge-documents.md): Return a paginated list of all indexed documents with their metadata.
- [Get document metadata and associated chunks](https://strattumai.mintlify.app/api-reference/knowledge/get-document-metadata-and-associated-chunks.md): Return metadata for a single document together with all its chunks.
- [Update document metadata (tags, folder grouping)](https://strattumai.mintlify.app/api-reference/knowledge/update-document-metadata-tags-folder-grouping.md): Partially update a document's metadata.
- [List chunks for a specific document](https://strattumai.mintlify.app/api-reference/knowledge/list-chunks-for-a-specific-document.md): Return all chunks for a document, ordered by position.
- [Get adjacent chunks for neighbor expansion (Phase 5)](https://strattumai.mintlify.app/api-reference/knowledge/get-adjacent-chunks-for-neighbor-expansion-phase-5.md): Return the adjacent chunks (±window) from the same document as chunk_id.
- [Delete a document and all its chunks](https://strattumai.mintlify.app/api-reference/ingest/delete-a-document-and-all-its-chunks.md): Remove a document from the knowledge base:
- [Return the service account email used for Google Drive access](https://strattumai.mintlify.app/api-reference/ingest/return-the-service-account-email-used-for-google-drive-access.md): Return the service account email from the Google Drive connector in the connector registry (catalog-api).
- [Ingest a Google Drive file or folder by sharing URL](https://strattumai.mintlify.app/api-reference/ingest/ingest-a-google-drive-file-or-folder-by-sharing-url.md): Given a Google Drive sharing URL, ingest the content into the knowledge base.
- [Ingest pages from a Confluence space](https://strattumai.mintlify.app/api-reference/ingest/ingest-pages-from-a-confluence-space.md): Given a connector_id and space_key, fetch all pages from the Confluence space, create placeholder documents, and index them in the background.
- [Upload and index a file (PDF, DOCX, XLSX, PPTX)](https://strattumai.mintlify.app/api-reference/ingest/upload-and-index-a-file-pdf-docx-xlsx-pptx.md): Upload a file, extract its text, chunk it, embed each chunk, and persist to Qdrant (vectors) and PostgreSQL (metadata).
- [List tags for a document](https://strattumai.mintlify.app/api-reference/tags/list-tags-for-a-document.md): Return all tags associated with *doc_id*, ordered by creation date.
- [Add a tag to a document](https://strattumai.mintlify.app/api-reference/tags/add-a-tag-to-a-document.md): Add *tag* to the document.  If the (doc_id, tag) pair already exists the existing row is returned with HTTP 201 (idempotent).
- [Remove a tag from a document](https://strattumai.mintlify.app/api-reference/tags/remove-a-tag-from-a-document.md): Hard-delete a tag from the document.
- [Update tag status](https://strattumai.mintlify.app/api-reference/tags/update-tag-status.md): Change the status of an existing tag.
- [List available source type definitions](https://strattumai.mintlify.app/api-reference/source-types/list-available-source-type-definitions.md)
- [Get sync freshness status for all operational sources](https://strattumai.mintlify.app/api-reference/source-types/get-sync-freshness-status-for-all-operational-sources.md)
- [Get a single source type definition](https://strattumai.mintlify.app/api-reference/source-types/get-a-single-source-type-definition.md): Return the raw source type definition for *name* as stored in the workspace YAML.
- [Save (create or update) a source type definition](https://strattumai.mintlify.app/api-reference/source-types/save-create-or-update-a-source-type-definition.md): Write a source type definition YAML file to the workspace.
- [Delete a source type definition](https://strattumai.mintlify.app/api-reference/source-types/delete-a-source-type-definition.md): Remove a source type definition YAML from the workspace.
- [Reset sync status for a source type](https://strattumai.mintlify.app/api-reference/source-types/reset-sync-status-for-a-source-type.md): Delete the sync log entry for a source type, forcing a full re-index.
- [Catalog API](https://strattumai.mintlify.app/api-reference/catalog/overview.md): Endpoints para explorar o data lake: árvore de camadas, contagem de linhas, prévia de dados e lineage de pipelines.
- [Árvore completa do data lake](https://strattumai.mintlify.app/api-reference/catalog/árvore-completa-do-data-lake.md): Retorna todos os conectores e tabelas da camada raw, e todos os modelos da camada clean.
- [Resumo das camadas](https://strattumai.mintlify.app/api-reference/catalog/resumo-das-camadas.md)
- [Contagem de linhas de todas as tabelas](https://strattumai.mintlify.app/api-reference/catalog/contagem-de-linhas-de-todas-as-tabelas.md): Lê apenas o footer dos arquivos parquet (metadados) — sem carregar os dados. Rápido mesmo em tabelas grandes.
- [Resumo agregado de uma tabela de enrichment](https://strattumai.mintlify.app/api-reference/catalog/resumo-agregado-de-uma-tabela-de-enrichment.md): Linhas enriquecidas, concluídas/falhas, custo total, tokens, modelos.
- [Preview dos dados de uma tabela](https://strattumai.mintlify.app/api-reference/catalog/preview-dos-dados-de-uma-tabela.md): Retorna as primeiras linhas de uma tabela/modelo do data lake.
- [List user-editable column metadata for a table](https://strattumai.mintlify.app/api-reference/catalog/list-user-editable-column-metadata-for-a-table.md): Returns persisted column descriptions for a given table.
- [Upsert a column description](https://strattumai.mintlify.app/api-reference/catalog/upsert-a-column-description.md): Creates or updates the description for a single column.
- [Retornar templates de transformação padrão de um conector](https://strattumai.mintlify.app/api-reference/connectors/retornar-templates-de-transformação-padrão-de-um-conector.md): Return default SQL transform templates for a connector type.
- [Retornar ontology fragments dos conectores](https://strattumai.mintlify.app/api-reference/connectors/retornar-ontology-fragments-dos-conectores.md): Return ontology fragment definitions for connectors.
- [List all connector types that have a knowledge fragment](https://strattumai.mintlify.app/api-reference/connectors/list-all-connector-types-that-have-a-knowledge-fragment.md): List all knowledge fragment templates across all connectors.
- [Return the knowledge_fragment.yaml for a connector type](https://strattumai.mintlify.app/api-reference/connectors/return-the-knowledge_fragmentyaml-for-a-connector-type.md): Return the default knowledge_fragment.yaml for a connector type as JSON.
- [Testar conexão com um conector (sem salvar)](https://strattumai.mintlify.app/api-reference/connectors/testar-conexão-com-um-conector-sem-salvar.md): Test connectivity for the given connector type and credentials.
- [List tables/collections and columns for any connector type (T3.2, T3.7, T3.8)](https://strattumai.mintlify.app/api-reference/connectors/list-tablescollections-and-columns-for-any-connector-type-t32-t37-t38.md): Introspect the target database and return tables with columns, FK, PII, and row counts.
- [Suggest ontology labels for selected tables/collections (T4.3)](https://strattumai.mintlify.app/api-reference/connectors/suggest-ontology-labels-for-selected-tablescollections-t43.md): Infer ontology labels, ER fields, and suggested graph edges.
- [Generate transforms or sync config for selected tables (T3.4, T3.7, T3.8)](https://strattumai.mintlify.app/api-reference/connectors/generate-transforms-or-sync-config-for-selected-tables-t34-t37-t38.md): For SQL connectors (postgres, mysql): generates dbt-compatible SELECT SQL per table applying PK renaming and PII hash/drop rules. For MongoDB: generates a YAML sync config dict (returned in ``sync_config``).
- [Apply transforms and update the graph ontology atomically (T3.6, T3.7)](https://strattumai.mintlify.app/api-reference/connectors/apply-transforms-and-update-the-graph-ontology-atomically-t36-t37.md): Writes the provided transforms to a YAML config file and merges ontology additions (nodes + edges) into memory-api. Supported for SQL connectors (postgres, mysql). Returns a summary of what was created.
- [Listar conectores configurados](https://strattumai.mintlify.app/api-reference/connectors/listar-conectores-configurados.md): List all configured connectors — metadata only, credentials are never returned.
- [Salvar um novo conector](https://strattumai.mintlify.app/api-reference/connectors/salvar-um-novo-conector.md): Persist a connector's credentials to the configured SecretStore.
- [Reset incremental state and trigger full re-sync for a connector](https://strattumai.mintlify.app/api-reference/connectors/reset-incremental-state-and-trigger-full-re-sync-for-a-connector.md): Delete the incremental cursor state for all resources of *connector_type* and immediately trigger the Prefect deployment for a full re-sync.
- [Get connector details (internal — not proxied to frontend)](https://strattumai.mintlify.app/api-reference/connectors/get-connector-details-internal-—-not-proxied-to-frontend.md): Return full connector record including credentials.
- [Atualizar credenciais de um conector](https://strattumai.mintlify.app/api-reference/connectors/atualizar-credenciais-de-um-conector.md): Update credentials and/or sync schedule for an existing connector.
- [Remover um conector](https://strattumai.mintlify.app/api-reference/connectors/remover-um-conector.md): Remove a connector from the SecretStore.
- [List PII audit records for a connector](https://strattumai.mintlify.app/api-reference/connectors/list-pii-audit-records-for-a-connector.md): Return all PII audit log entries for a connector, newest first.
- [Get AI enrichment config](https://strattumai.mintlify.app/api-reference/connectors/get-ai-enrichment-config.md)
- [Set AI enrichment config](https://strattumai.mintlify.app/api-reference/connectors/set-ai-enrichment-config.md)
- [List branches + transform files](https://strattumai.mintlify.app/api-reference/connectors/list-branches-+-transform-files.md): Discover what's available to configure: the repo's branches and the ``*.py`` files under ``ai_transforms/`` at the chosen branch. Lightweight — ls-remote for branches, a blobless partial clone for the file list.
- [Read a transform file's source](https://strattumai.mintlify.app/api-reference/connectors/read-a-transform-files-source.md): Return the raw source of ``ai_transforms/<file>`` at the given branch, so the UI can show the code before running it. Read-only.
- [Dry-run a transform on one row + cost estimate](https://strattumai.mintlify.app/api-reference/connectors/dry-run-a-transform-on-one-row-+-cost-estimate.md): Run the selected transform on ONE real source row and return the output plus a cost estimate (per-row cost × source row count). Validates the transform end-to-end before enabling the full pipeline.
- [Run enrichment now (on-demand)](https://strattumai.mintlify.app/api-reference/connectors/run-enrichment-now-on-demand.md): Trigger an on-demand enrichment run for the connector. Enriches not-yet-done source rows (incremental — cache skips done rows), then refreshes the clean table. ``limit`` runs only a batch (validate cheaply). Runs in the background; watch progress in the catalog's enrichment Summary tab.
- [AI enrichment run status](https://strattumai.mintlify.app/api-reference/connectors/ai-enrichment-run-status.md): Per enrichment table: total / done / failed rows + total cost — scoped to THIS connector's transforms (so one connector never shows another's tables). Reads the DuckDB ``enrichment`` schema (same db as clean).
- [List Slack channels using stored connector credentials](https://strattumai.mintlify.app/api-reference/connectors/list-slack-channels-using-stored-connector-credentials.md): List Slack channels using the token already stored for this connector.
- [List accessible Slack channels](https://strattumai.mintlify.app/api-reference/connectors/list-accessible-slack-channels.md): Authenticate with a Slack bot token and return accessible channels.
- [List accessible Notion databases](https://strattumai.mintlify.app/api-reference/connectors/list-accessible-notion-databases.md): Authenticate with a Notion token and return accessible databases.
- [List Confluence spaces using stored connector credentials](https://strattumai.mintlify.app/api-reference/connectors/list-confluence-spaces-using-stored-connector-credentials.md): List Confluence spaces using credentials stored in the SecretStore.
- [List accessible Confluence spaces](https://strattumai.mintlify.app/api-reference/connectors/list-accessible-confluence-spaces.md): Authenticate with Confluence credentials and return accessible spaces.
- [List all transformation models](https://strattumai.mintlify.app/api-reference/transformations/list-all-transformation-models.md): Scans dbt/models/clean/ for .sql files and returns metadata for each. Also includes SQL files from WORKSPACE_PATH/transformations/ when configured.
- [Create a new transformation model](https://strattumai.mintlify.app/api-reference/transformations/create-a-new-transformation-model.md): Writes a new .sql file to dbt/models/clean/{name}.sql.
- [Get transformation model details](https://strattumai.mintlify.app/api-reference/transformations/get-transformation-model-details.md)
- [Update transformation model SQL](https://strattumai.mintlify.app/api-reference/transformations/update-transformation-model-sql.md)
- [Delete transformation model](https://strattumai.mintlify.app/api-reference/transformations/delete-transformation-model.md)
- [Get real-time pipeline status for a transformation model](https://strattumai.mintlify.app/api-reference/transformations/get-real-time-pipeline-status-for-a-transformation-model.md): Returns the current status of a dbt transformation model based on the last dbt run result and the last connector sync timestamp.
- [Preview transformation result](https://strattumai.mintlify.app/api-reference/transformations/preview-transformation-result.md): Executes the provided SQL in DuckDB (in-memory) with the delta extension loaded and returns the first N rows (default 50) plus column types.
- [Validate SQL syntax](https://strattumai.mintlify.app/api-reference/transformations/validate-sql-syntax.md): Runs EXPLAIN {sql} in DuckDB to validate syntax without executing.
- [AI-assisted SQL suggestion](https://strattumai.mintlify.app/api-reference/transformations/ai-assisted-sql-suggestion.md): Uses Claude to generate a DuckDB SQL model that reads raw Delta tables directly via delta_scan(). No staging layer.
- [AI-assisted SQL refinement](https://strattumai.mintlify.app/api-reference/transformations/ai-assisted-sql-refinement.md): Uses Claude to refine an existing SQL model based on a natural language instruction.
- [Get git history for a transformation model](https://strattumai.mintlify.app/api-reference/transformations/get-git-history-for-a-transformation-model.md): Returns the git commit log for a specific dbt model file.
- [Get SQL content of a specific model version](https://strattumai.mintlify.app/api-reference/transformations/get-sql-content-of-a-specific-model-version.md): Returns the SQL content of a dbt model at a given git commit.
- [Rollback model to a previous version](https://strattumai.mintlify.app/api-reference/transformations/rollback-model-to-a-previous-version.md): Restores a dbt model to the SQL content at a given git commit and records a new rollback commit.
- [Show diff between two versions of a model](https://strattumai.mintlify.app/api-reference/transformations/show-diff-between-two-versions-of-a-model.md): Returns the unified diff between two git commits for a specific dbt model.
- [Run dbt model](https://strattumai.mintlify.app/api-reference/transformations/run-dbt-model.md): Executes `dbt run --select {name}` using the dbt project configuration.
- [Get the full data lineage graph](https://strattumai.mintlify.app/api-reference/lineage/get-the-full-data-lineage-graph.md): Returns a LineageGraph (nodes + edges) built server-side from connectors, dbt models, source_tables references, and destination heuristics. Node types: connector, staging, clean, memory, knowledge. Status values: ok, error, pending, missing.
- [Lê um setting](https://strattumai.mintlify.app/api-reference/settings/lê-um-setting.md)
- [Grava ou atualiza um setting](https://strattumai.mintlify.app/api-reference/settings/grava-ou-atualiza-um-setting.md)
- [List Active Alerts](https://strattumai.mintlify.app/api-reference/alerts/list-active-alerts.md): Return all unresolved alerts, criticals first then warnings, newest first.
- [List All Alerts](https://strattumai.mintlify.app/api-reference/alerts/list-all-alerts.md): Return all alerts (active and resolved), criticals first then warnings, newest first.
- [Upsert Alert](https://strattumai.mintlify.app/api-reference/alerts/upsert-alert.md): Create or re-open an alert identified by fingerprint.
- [Resolve Alert](https://strattumai.mintlify.app/api-reference/alerts/resolve-alert.md): Resolve an alert by fingerprint (sets resolved_at = now()).
- [List Access Events](https://strattumai.mintlify.app/api-reference/audit/list-access-events.md): Recent access events (newest first), each with its returned resources.
- [Access Summary](https://strattumai.mintlify.app/api-reference/audit/access-summary.md): 24h KPI counters for the Access Audit header.
- [Health check](https://strattumai.mintlify.app/api-reference/infra/health-check.md)
- [Skills API](https://strattumai.mintlify.app/api-reference/skills/overview.md): Execução de receitas analíticas (skills), gerenciamento de segredos e perguntas sugeridas para o assistente.
- [List Skills](https://strattumai.mintlify.app/api-reference/skills/list-skills.md)
- [Get Skill](https://strattumai.mintlify.app/api-reference/skills/get-skill.md)
- [Delete Skill](https://strattumai.mintlify.app/api-reference/skills/delete-skill.md)
- [Get Skill History](https://strattumai.mintlify.app/api-reference/skills/get-skill-history.md): Return the git commit history for `skills/{name}.md`.
- [Get Skill Usage](https://strattumai.mintlify.app/api-reference/skills/get-skill-usage.md): Return recent invocations + summary stats for a skill.
- [List Skills](https://strattumai.mintlify.app/api-reference/skills/list-skills-1.md)
- [Get Skill](https://strattumai.mintlify.app/api-reference/skills/get-skill-1.md)
- [Delete Skill](https://strattumai.mintlify.app/api-reference/skills/delete-skill-1.md)
- [Get Skill History](https://strattumai.mintlify.app/api-reference/skills/get-skill-history-1.md): Return the git commit history for `skills/{name}.md`.
- [Get Skill Usage](https://strattumai.mintlify.app/api-reference/skills/get-skill-usage-1.md): Return recent invocations + summary stats for a skill.
- [List Secrets](https://strattumai.mintlify.app/api-reference/secrets/list-secrets.md): List secret keys (never values).
- [Save Secret](https://strattumai.mintlify.app/api-reference/secrets/save-secret.md): Save a secret.
- [Delete Secret](https://strattumai.mintlify.app/api-reference/secrets/delete-secret.md): Delete a secret.
- [List Secrets](https://strattumai.mintlify.app/api-reference/secrets/list-secrets-1.md): List secret keys (never values).
- [Save Secret](https://strattumai.mintlify.app/api-reference/secrets/save-secret-1.md): Save a secret.
- [Delete Secret](https://strattumai.mintlify.app/api-reference/secrets/delete-secret-1.md): Delete a secret.
- [Get Config](https://strattumai.mintlify.app/api-reference/config/get-config.md): Retrieve current Claw config.
- [Update Config](https://strattumai.mintlify.app/api-reference/config/update-config.md): Update Claw config.
- [Get Config](https://strattumai.mintlify.app/api-reference/config/get-config-1.md): Retrieve current Claw config.
- [Update Config](https://strattumai.mintlify.app/api-reference/config/update-config-1.md): Update Claw config.
- [Get Schema](https://strattumai.mintlify.app/api-reference/query/get-schema.md): Return schema summary covering FalkorDB, DuckDB and Qdrant.
- [Run Cypher](https://strattumai.mintlify.app/api-reference/query/run-cypher.md): Execute a read-only Cypher query on FalkorDB.
- [Run Sql](https://strattumai.mintlify.app/api-reference/query/run-sql.md): Execute a read-only SQL query against parquet files via DuckDB.
- [Get Config](https://strattumai.mintlify.app/api-reference/workspace/get-config.md): Return git config (token masked).
- [Save Config](https://strattumai.mintlify.app/api-reference/workspace/save-config.md): Save git config.
- [Disconnect](https://strattumai.mintlify.app/api-reference/workspace/disconnect.md): Clear git config (disconnect workspace).
- [Test Connection](https://strattumai.mintlify.app/api-reference/workspace/test-connection.md): Validate git credentials without saving.
- [Sync](https://strattumai.mintlify.app/api-reference/workspace/sync.md): Run git pull, return {pulled, changes}.
- [Get Status](https://strattumai.mintlify.app/api-reference/workspace/get-status.md): Return per-module sync status.
- [Check Behind](https://strattumai.mintlify.app/api-reference/workspace/check-behind.md): Fetch from remote and return how many commits the local workspace is behind.
- [List Files](https://strattumai.mintlify.app/api-reference/workspace/list-files.md): List directory contents or return file content.
- [Healthcheck](https://strattumai.mintlify.app/api-reference/health/healthcheck.md): GET /healthz — verify service health.
- [MCP Server](https://strattumai.mintlify.app/api-reference/mcp/overview.md): Adaptador Model Context Protocol que expõe Memory e Knowledge como ferramentas para LLMs via SSE.
- [Liveness probe](https://strattumai.mintlify.app/api-reference/health/liveness-probe.md): Returns `{"status": "ok"}` when the MCP Server is running and can reach both Memory API and Knowledge API.
- [MCP Server-Sent Events (SSE) transport endpoint](https://strattumai.mintlify.app/api-reference/mcp/mcp-server-sent-events-sse-transport-endpoint.md): SSE endpoint for the MCP remote transport. MCP clients (e.g. Microsoft Copilot, Claude Desktop) connect here to receive tool definitions and send tool calls.
- [Changelog de produto](https://strattumai.mintlify.app/changelog/product.md): Linha do tempo das mudanças de produto da plataforma strattum.ai — novas capacidades, correções e ajustes de comportamento, por data.
- [Advisories & Changelog](https://strattumai.mintlify.app/trust/advisories.md): Comunicados sobre incidentes, mudanças materiais de postura e atualizações relevantes de segurança e privacidade.

## OpenAPI Specs

- [catalog-api](/api-reference/catalog-api.json)
- [knowledge-api](/api-reference/knowledge-api.json)
- [mcp-server](/api-reference/mcp-server.json)
- [memory-api](/api-reference/memory-api.json)
- [skills-api](/api-reference/skills-api.json)

## Optional

- [Documentação](https://docs.strattum.ai)
- [GitHub](https://github.com/strattum-ai)