Amazon Forecast

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: '2026-04-19'
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
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: NaftikoCapability
  url: capabilities/shared/forecast.yaml
- type: NaftikoCapability
  url: capabilities/amazon-forecast-time-series-prediction.yaml
- type: Vocabulary
  url: vocabulary/amazon-forecast-vocabulary.yaml
- type: JSON-LD
  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: [email protected]