{"protocolVersion":"0.3.0","name":"ListeningMind Concierge","description":"Answers market questions with search-intent data for the US, Japan and Korea. Finds a stored topic with 15 intent elements when one exists, and plans raw-tool calls when not.","url":"https://daas.listeningmind.ai/a2a","preferredTransport":"JSONRPC","version":"0.2.0","provider":{"organization":"Ascent AI Co., Ltd.","url":"https://daas.listeningmind.ai"},"documentationUrl":"https://daas.listeningmind.ai/llms.txt","capabilities":{"streaming":false,"pushNotifications":false},"defaultInputModes":["text/plain","application/json"],"defaultOutputModes":["application/json","text/plain"],"skills":[{"id":"intent-research","name":"Search-intent research","description":"Given a market question, reuse a stored analysis when one fits, quote the price with a free preview, and run it when approved (send metadata plan_id, approve, max_lima with a bearer key). Results carry evidence types, a quality status, limits and sources.","tags":["search","intent","marketing","keywords","us","jp","kr"],"examples":["How big is demand for dehumidifiers in Korea and who searches?","日本のノンアルコールビールで一緒に検索される言葉は?","What do people search before 'nike running shoes'?"]},{"id":"intent_elements","name":"Intent Elements for a topic","description":"15 intent elements (CEP, KBF, constraint, avoidance, heuristics and more) for stored topics, with search evidence. Search is free; a topic costs 70 Lima while fresh, and a missing topic is built in 2 to 6 minutes.","tags":["cep","kbf","intent","topic","knowledge graph"]},{"id":"keyword_info","name":"Keyword info","description":"Monthly volume trend, competition and CPC, and searcher gender and age (Korea). 13 Lima per 100 keywords (the data a call really returns; typical call about 1 Lima).","tags":["listeningmind","keyword_info"]},{"id":"intent_finder","name":"Intent finder","description":"Related searches for a keyword, ordered by volume. 1 Lima per call + 26 Lima per 1,000 results (the data a call really returns; typical call about 1 Lima).","tags":["listeningmind","intent_finder"]},{"id":"path_finder","name":"Path finder","description":"The searches people actually made before and after this one. 1 Lima per call + 520 Lima per 1,000 keywords in the paths (the data a call really returns; typical call about 95 Lima).","tags":["listeningmind","path_finder"]},{"id":"cluster_finder","name":"Cluster finder","description":"Searches grouped into intent clusters: how consumers frame the category. 2 Lima per call + 650 Lima per 1,000 keywords in the clusters (the data a call really returns; typical call about 182 Lima).","tags":["listeningmind","cluster_finder"]},{"id":"ai_overview","name":"AI overview","description":"Top results, the AI overview text and the sources it cites. 2 Lima per keyword (the data a call really returns; typical call about 2 Lima).","tags":["listeningmind","ai_overview"]}]}