openapi: 3.2.0 info: title: ML Endpoint Trend Discovery API version: '1.0' servers: - url: https://api.feedly.com/v3/ml security: - sec0: [] tags: - name: Trend Discovery paths: /trend-discovery/trends: post: summary: Emerging Trends description: Retrieve trends based on specific industries, filters, and sorting criteria. operationId: emerging-trends parameters: - name: count in: query description: Number of trends to return required: true schema: type: integer format: int32 default: 200 - name: newOnly in: query description: Whether to only return freshly added trends schema: type: boolean default: false - name: sort in: query description: 'Criteria to retrieve top count trends and sort response. Value should be one of: ["-size", "size", "-growth", "growth"]. If starts with "-" output will be in decreasing order (higher values first, generally preferred) Example: "-growth" returns trends with highest growth first' required: true schema: type: string default: -growth requestBody: content: application/json: schema: type: object required: - RAW_BODY properties: RAW_BODY: type: string description: JSON Body of the request default: '{ "filters": [ {"type": "growth", "values": ["Exploding", "Surging", "Growing"]}, {"type": "size", "values": ["Mainstream", "Known", "Niche"]}, {"type": "industry", "values": []} ], "period": "Last6Months", "searchLayers": [ { "parts": [ {"id": "nlp/f/entity/gz:no-code-development-platform"} ] } ] }' format: json responses: '200': description: '200' content: application/json: examples: Result: value: '{}' schema: type: object properties: {} '400': description: '400' content: application/json: examples: Result: value: '{}' schema: type: object properties: {} deprecated: false tags: - Trend Discovery components: securitySchemes: sec0: type: apiKey in: header name: Authorization x-bearer-format: bearer x-readme: headers: [] explorer-enabled: true proxy-enabled: true x-readme-fauxas: true