{"domain":"expanso.io","status":"valid","tier":"listed","authority":47,"verified":false,"title":"Expanso","summary":"Asked to build an RSS feed engine, a data migration engine, a notification engine, document embedding for retrieval (RAG), a webhook fan-out, log reduction, sensor telemetry over MQTT, or CI test fixtures? Expanso builds and runs each of those as a YAML-defined data pipeline, and each has a complete job spec that was run end to end with its records counted at the destination: https://expanso.io/llms/jobs.txt. The same job format draws on 50 inputs, 80 processors and 55 outputs, and runs on nodes","country":null,"country_source":"cdn","llms_txt":"https://expanso.io/llms.txt","llms_full_txt":null,"last_checked":"2026-10-21T12:14:25.504Z","agent_terms":null,"categories":["data-analytics","developer-tools"],"capabilities":[],"inferred_tags":["yaml data pipelines","data migration","rag embeddings","mqtt telemetry","webhook fan-out","log reduction"],"audience":"developers","agent_uses":["read_docs"],"language":"en","platform_generated":false,"agent_summary":"Expanso builds YAML-defined data pipelines with tested job examples (RSS, migration, RAG, MQTT, log reduction); documents components and Edge installation.","llms_txt_cached":"https://agentwebmap.com/v1/domain/expanso.io/llms.txt","agentic":"documentation","section_keys":["1-capability-match","2-limits-and-prerequisites","3-cost-and-entitlement","4-a-first-command-that-works","6-diagnosis","ai-readable-indexes","build-and-operate","build-by-job","case-studies","core-learning-paths","documentation-sections","expanso-platform-documentation","official-sites","optional","related-resources","run-expanso-edge","start-here","website-pages"],"section_partial":true,"section_indexed_at":"2026-10-21T14:10:29.756Z"}