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Searches and retrieves Streaming Radar articles and experts while providing coverage checks and market-intelligence data discovery.
도구
입력 스키마
{'type': 'object', 'required': ['query'], 'properties': {'query': {'type': 'string', 'maxLength': 60, 'minLength': 3, 'description': 'Company, market, country, platform or topic (e.g. "ReelShort", "mobile money", "Nigeria", "micro-drama").'}, 'country': {'type': 'string', 'description': 'Restrict to one country as spelled in the data (e.g. "Nigeria").'}, 'report_slug': {'type': 'string', 'description': 'Restrict to one report silo (e.g. "vertical-invasion-2026", "africa-streaming-2026").'}}, 'additionalProperties': False}
출력 스키마
{'type': 'object', 'description': 'Tool-specific result object. Inspect the `content` array for human-readable text and structured data.', 'additionalProperties': True}
입력 스키마
{'type': 'object', 'required': ['chart_type'], 'properties': {'silo': {'type': 'string', 'description': 'Report slug filter (e.g. "africa-streaming-2026"). Required for export_table. Omit for all active silos on other chart types.'}, 'limit': {'type': 'number', 'maximum': 200, 'minimum': 1, 'description': 'Max rows (default 20, max 200). For topic_heatmap/keyword_trends: top N keywords.'}, 'country': {'type': 'string', 'description': 'Country filter — applies to export_table (e.g. "Nigeria", "NG")'}, 'category': {'type': 'string', 'description': 'Category filter — applies to category_breakdown, top_metrics, coverage, export_table'}, 'chart_type': {'enum': ['silo_overview', 'category_breakdown', 'top_metrics', 'coverage', 'confidence', 'country', 'timeline', 'year_distribution', 'export_table', 'citation_graph', 'expert_network', 'topic_heatmap', 'engagement_funnel', 'geo_coverage', 'keyword_trends', 'article_bridge', 'expert_leaderboard'], 'type': 'string', 'description': 'Chart type to retrieve'}}}
출력 스키마
{'type': 'object', 'properties': {'data': {'type': 'array', 'items': {'type': 'object'}, 'description': 'Plotly-ready data array.'}, 'layout': {'type': 'object', 'description': 'Plotly layout hints.'}, 'chart_type': {'type': 'string', 'description': 'The chart type that was rendered.'}, 'report_slug': {'type': 'string'}}, 'additionalProperties': True}
입력 스키마
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'number', 'maximum': 20, 'minimum': 1, 'description': 'Max tools to return (default 8, max 20).'}, 'query': {'type': 'string', 'description': 'Whitespace-separated keywords; case-insensitive.'}}}
출력 스키마
{'type': 'object', 'description': 'Tool-specific result object. Inspect the `content` array for human-readable text and structured data.', 'additionalProperties': True}
입력 스키마
{'type': 'object', 'properties': {'id': {'type': 'string', 'description': 'Article UUID'}, 'number': {'type': 'number', 'description': 'Edition number (e.g. 42)'}}}
출력 스키마
{'type': 'object', 'description': 'Tool-specific result object. Inspect the `content` array for human-readable text and structured data.', 'additionalProperties': True}
입력 스키마
{'type': 'object', 'properties': {'type': {'type': 'string', 'description': 'Filter by content type: edition, analysis, special'}, 'limit': {'type': 'number', 'maximum': 50, 'minimum': 1, 'description': 'Max results (default 20, max 50)'}, 'offset': {'type': 'number', 'minimum': 0, 'description': 'Pagination offset (default 0)'}, 'status': {'enum': ['published', 'draft', 'archived'], 'type': 'string', 'description': 'Filter by status: published, draft, archived'}}}
출력 스키마
{'type': 'object', 'description': 'Tool-specific result object. Inspect the `content` array for human-readable text and structured data.', 'additionalProperties': True}
입력 스키마
{'type': 'object', 'properties': {'id': {'type': 'string', 'description': 'Expert UUID'}, 'name': {'type': 'string', 'description': 'Expert name (partial match, e.g. "Ludovic")'}}}
출력 스키마
{'type': 'object', 'description': 'Tool-specific result object. Inspect the `content` array for human-readable text and structured data.', 'additionalProperties': True}
입력 스키마
{'type': 'object', 'properties': {'tier': {'enum': [1, 2, 3], 'type': 'number', 'description': 'Expert tier (1 = top, 2 = mid, 3 = emerging)'}, 'limit': {'type': 'number', 'maximum': 50, 'minimum': 1, 'description': 'Max results (default 20, max 50)'}, 'country': {'type': 'string', 'description': 'ISO 3166-1 alpha-2 country code (e.g. "NG", "KE", "ZA")'}}}
출력 스키마
{'type': 'object', 'description': 'Tool-specific result object. Inspect the `content` array for human-readable text and structured data.', 'additionalProperties': True}
입력 스키마
{'type': 'object', 'required': ['since_date'], 'properties': {'limit': {'type': 'number', 'maximum': 50, 'minimum': 1, 'description': 'Max results (default 20, max 50)'}, 'since_date': {'type': 'string', 'description': 'ISO 8601 date or datetime (e.g. "2026-02-01" or "2026-02-01T00:00:00Z")'}}}
출력 스키마
{'type': 'object', 'description': 'Tool-specific result object. Inspect the `content` array for human-readable text and structured data.', 'additionalProperties': True}
입력 스키마
{'type': 'object', 'properties': {'limit': {'type': 'number', 'maximum': 200, 'minimum': 1, 'description': 'Max results (default 50)'}, 'category': {'type': 'string', 'description': 'Tag category (e.g. "company", "country", "topic", "format")'}}}
출력 스키마
{'type': 'object', 'description': 'Tool-specific result object. Inspect the `content` array for human-readable text and structured data.', 'additionalProperties': True}
입력 스키마
{'type': 'object', 'required': ['query'], 'properties': {'mode': {'enum': ['search', 'coverage'], 'type': 'string', 'description': 'search (default) = full-text search | coverage = semantic corpus coverage check'}, 'limit': {'type': 'number', 'maximum': 30, 'minimum': 1, 'description': 'Max results (default 10, max 30) — mode=search only'}, 'query': {'type': 'string', 'minLength': 2, 'description': 'mode=search: text matched as one contiguous, case-insensitive substring (e.g. "Canal+"; "Netflix Africa" only matches where those two words are adjacent). mode=coverage: free-text description of the angle or topic to check (a sentence is fine).'}, 'top_k': {'type': 'number', 'maximum': 30, 'minimum': 1, 'description': 'Number of vector neighbours to retrieve (default 10, max 30) — mode=coverage only'}, 'channels': {'type': 'array', 'items': {'type': 'string'}, 'description': 'mode=coverage only — restrict to channels (substack, linkedin_story, linkedin_post, guest_article, vdtv, brief). Default: all.'}}}
출력 스키마
{'type': 'object', 'properties': {'count': {'type': 'integer'}, 'articles': {'type': 'array', 'items': {'type': 'object'}}}, 'additionalProperties': True}
입력 스키마
{'type': 'object', 'required': [], 'properties': {}}
출력 스키마
{'type': 'object', 'description': 'Tool-specific result object. Inspect the `content` array for human-readable text and structured data.', 'additionalProperties': True}
입력 스키마
{'type': 'object', 'required': [], 'properties': {}}
출력 스키마
{'type': 'object', 'description': 'Tool-specific result object. Inspect the `content` array for human-readable text and structured data.', 'additionalProperties': True}
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