aid: amazon-forecast name: Amazon Forecast description: Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts. It analyzes your historical time-series data and automatically selects the right machine learning algorithms to generate accurate forecasts with no machine learning expertise required. type: Index image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg tags: - AWS - Forecasting - Machine Learning - Predictive Analytics - Time Series url: https://raw.githubusercontent.com/api-evangelist/amazon-forecast/refs/heads/main/apis.yml created: '2026-03-16' modified: '2026-05-19' specificationVersion: '0.19' apis: - aid: amazon-forecast:amazon-forecast-api name: Amazon Forecast API description: The Amazon Forecast API provides programmatic access to create and manage datasets, predictors, forecasts, and export jobs for time-series forecasting using machine learning models. humanURL: https://aws.amazon.com/forecast/ baseURL: https://forecast.amazonaws.com tags: - Forecasting - Machine Learning - Time Series properties: - type: Documentation url: https://docs.aws.amazon.com/forecast/latest/dg/what-is-forecast.html - type: OpenAPI url: openapi/amazon-forecast-openapi.yml - type: JSONSchema url: json-schema/amazon-forecast-dataset-schema.json - type: JSONSchema url: json-schema/amazon-forecast-predictor-schema.json - type: JSONSchema url: json-schema/amazon-forecast-forecast-schema.json - type: JSONSchema url: json-schema/amazon-forecast-dataset-group-schema.json - type: JSONSchema url: json-schema/amazon-forecast-tag-schema.json - type: JSONStructure url: json-structure/amazon-forecast-dataset-structure.json - type: JSONStructure url: json-structure/amazon-forecast-predictor-structure.json - type: JSONStructure url: json-structure/amazon-forecast-forecast-structure.json - type: JSONStructure url: json-structure/amazon-forecast-dataset-group-structure.json - type: JSONStructure url: json-structure/amazon-forecast-tag-structure.json - type: Example url: examples/amazon-forecast-dataset-example.json - type: Example url: examples/amazon-forecast-dataset-group-example.json - type: Example url: examples/amazon-forecast-predictor-example.json - type: Example url: examples/amazon-forecast-forecast-example.json - type: Example url: examples/amazon-forecast-tag-example.json - type: GettingStarted url: https://aws.amazon.com/forecast/getting-started/ - type: Pricing url: https://aws.amazon.com/forecast/pricing/ - type: FAQ url: https://aws.amazon.com/forecast/faqs/ - type: APIReference url: https://docs.aws.amazon.com/forecast/latest/dg/API_Operations.html - type: NaftikoCapability url: capabilities/amazon-forecast-dataset-groups.yaml - type: NaftikoCapability url: capabilities/amazon-forecast-datasets.yaml - type: NaftikoCapability url: capabilities/amazon-forecast-export-jobs.yaml - type: NaftikoCapability url: capabilities/amazon-forecast-forecasts.yaml - type: NaftikoCapability url: capabilities/amazon-forecast-predictors.yaml - type: NaftikoCapability url: capabilities/amazon-forecast-tags.yaml common: - type: Portal url: https://aws.amazon.com/forecast/ - type: Website url: https://aws.amazon.com/forecast/ - type: Documentation url: https://docs.aws.amazon.com/forecast/ - type: TermsOfService url: https://aws.amazon.com/service-terms/ - type: PrivacyPolicy url: https://aws.amazon.com/privacy/ - type: Support url: https://aws.amazon.com/premiumsupport/ - type: Blog url: https://aws.amazon.com/blogs/machine-learning/ - type: GitHubOrganization url: https://github.com/aws - type: Console url: https://console.aws.amazon.com/forecast/ - type: SignUp url: https://portal.aws.amazon.com/billing/signup - type: StatusPage url: https://health.aws.amazon.com/health/status - type: YouTube url: https://www.youtube.com/user/AmazonWebServices - type: StackOverflow url: https://stackoverflow.com/questions/tagged/amazon-forecast - type: SpectralRules url: rules/amazon-forecast-spectral-rules.yml - type: Vocabulary url: vocabulary/amazon-forecast-vocabulary.yaml - type: JSONLD url: json-ld/amazon-forecast-context.jsonld - type: Features data: - name: AutoML description: Automatically evaluates and selects from over 60 ML algorithms to find the best fit for your time-series data. - name: Probabilistic Forecasts description: Generates quantile forecasts (p10, p50, p90) to estimate demand uncertainty and plan inventory buffers. - name: Domain-Specific Models description: Pre-built domain configurations for retail, workforce, traffic, and cloud capacity forecasting. - name: Related Time Series description: Incorporate external factors (price, promotions, holidays) as related time-series data to improve accuracy. - name: HPO (Hyperparameter Optimization) description: Automatic tuning of model hyperparameters to maximize forecast accuracy. - name: Explainability description: Forecast Explainability reports show which features most impact each individual forecast. - name: S3 Export description: Export forecast results to Amazon S3 in CSV format for downstream consumption. - type: UseCases data: - name: Retail Demand Forecasting description: Predict item-level sales for inventory planning and replenishment across stores. - name: Workforce Capacity Planning description: Forecast staffing needs for contact centers and seasonal workforce management. - name: Cloud Resource Forecasting description: Predict EC2 capacity requirements to optimize reserved instance purchases. - name: Supply Chain Optimization description: Forecast component and raw material demand to reduce stockouts and carrying costs. - name: Financial Revenue Forecasting description: Project revenue by product, region, and channel for financial planning. - name: Energy Load Forecasting description: Predict electricity load and generation requirements for grid balancing. - type: Integrations data: - name: Amazon S3 description: Import training datasets and export forecast results to S3. - name: AWS Glue description: Transform and prepare time-series data for Forecast using AWS Glue ETL jobs. - name: Amazon SageMaker description: Combine Amazon Forecast with SageMaker for custom ML pipelines. - name: AWS IAM description: Control access to Forecast datasets, predictors, and forecasts with IAM policies. - name: Amazon CloudWatch description: Monitor Forecast job status, errors, and API usage metrics. - name: AWS KMS description: Encrypt Forecast datasets and training data with customer-managed KMS keys. - name: Amazon QuickSight description: Visualize exported forecast data in QuickSight dashboards. - type: Integrations url: https://aws.amazon.com/marketplace integrations: - name: Sign in - name: Agent Mode - name: Why AWS Marketplace? - name: Get started in AWS Marketplace - name: Industry - name: Resources - name: Become a Channel Partner - name: Sell in AWS Marketplace - name: Manage Your Account maintainers: - FN: Kin Lane email: kin@apievangelist.com