{"id":"elastic-cloud-api","name":"Elastic Cloud API","homepage":"https://www.elastic.co/guide/en/cloud/current/ec-restful-api.html","repo_url":null,"category":"observability","subcategories":["managed-elasticsearch","log-management","vector-search","cloud"],"tags":["elastic","elasticsearch","kibana","cloud","managed","log-management","vector-search","apm","siem","rest-api"],"what_it_does":"Elastic's managed cloud service API for provisioning and managing Elasticsearch and Kibana clusters, with access to the full Elasticsearch REST API for search, log analytics, and vector search.","use_cases":["Provisioning and scaling Elasticsearch clusters programmatically","Hybrid search combining keyword BM25 and vector k-NN for RAG applications","Centralized log ingestion and analytics for observability pipelines","APM data ingestion and trace querying for application performance monitoring","SIEM security signal correlation and threat hunting via Elasticsearch queries"],"not_for":["Simple vector-only search (Pinecone or Qdrant are lighter weight)","Purely relational data management","Teams who need simplest possible setup without Elasticsearch expertise"],"best_when":"You need the full power of Elasticsearch (BM25, vector search, aggregations, APM, SIEM) on managed infrastructure with enterprise support.","avoid_when":"You just need vector search — the full Elastic stack is heavy infrastructure. Consider Qdrant or Pinecone for pure vector use cases.","alternatives":["elasticsearch-api","sumologic-api","datadog-api","pinecone-api"],"af_score":82.2,"security_score":null,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"current","last_evaluated":"2026-03-01T09:50:05.525504+00:00","performance":{"latency_p50_ms":20,"latency_p99_ms":200,"uptime_sla_percent":99.95,"rate_limits":"No hard API rate limits; cluster throughput determined by hardware tier","data_source":"llm_estimated","measured_on":null}}