Amazon Forecast

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.

Amazon Forecast publishes 6 APIs on the APIs.io network, including Dataset Groups API, Datasets API, Export Jobs API, and 3 more. Tagged areas include Forecasting, Machine-Learning, Predictive Analytics, and Time Series.

The Amazon Forecast catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

Amazon Forecast’s developer surface includes authentication, developer portal, documentation, support, engineering blog, developer console, signup flow, and 24 more developer resources.

🌐 Visit website 📡 Source on GitHub

55.7/100 strong ▬ flat Agent 31/100 agent ready saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessFreemiumSelf serve⚡ Free to try

1 APIs 7 Features 6 Use Cases

Forecasting Machine-Learning Predictive Analytics Time Series

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 55.7/100 · strong

Contract Quality 17.3 / 23

Developer Ergonomics 9.6 / 18

Access Clarity 12.3 / 18

Operational Transparency 3.1 / 12

Contract Governance 3.1 / 11

Discoverability 5.3 / 9

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 31/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/amazon-forecast: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 6

Individual APIs this provider publishes, each with its own machine-readable definition.

Amazon Forecast Dataset Groups API

Logical groupings of related datasets

Amazon Forecast Datasets API

Dataset management for training data

Amazon Forecast Export Jobs API

Forecast data export to S3

Amazon Forecast Forecasts API

Generated forecast outputs

Amazon Forecast Predictors API

ML models trained on dataset groups

Amazon Forecast Tags API

Resource metadata labels

Postman Collections 1

Ready-to-run Postman collections for exercising this provider's APIs.

Amazon Forecast API

POSTMAN

Open Collections 8

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Amazon Forecast Dataset Groups API

OPEN COLLECTION

Amazon Forecast Dataset Groups Datasets API

OPEN COLLECTION

Amazon Forecast Dataset Groups Export Jobs API

OPEN COLLECTION

Amazon Forecast Dataset Groups Forecasts API

OPEN COLLECTION

Amazon Forecast Dataset Groups Predictors API

OPEN COLLECTION

Amazon Forecast Dataset Groups Tags API

OPEN COLLECTION

Amazon Forecast API

OPEN COLLECTION

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Arazzo Workflows 9

Multi-step API workflows described with the Arazzo specification.

Amazon Forecast End to End Pipeline

Create a dataset, dataset group, predictor, and forecast in a single chained pass.

ARAZZO

Amazon Forecast Export Forecast

Create a forecast, wait until ACTIVE, export it to S3, and read its tags.

ARAZZO

Amazon Forecast Generate Forecast

Create a forecast from a predictor, poll until ACTIVE, and tag it.

ARAZZO

Amazon Forecast Group Then Train

Create a dataset group, wait until ACTIVE, then train a predictor on it.

ARAZZO

Amazon Forecast Predict and Forecast

Train a predictor, wait until ACTIVE, then create a forecast and wait until ACTIVE.

ARAZZO

Amazon Forecast Provision Dataset Group

Create a dataset group, poll the listing until it is ACTIVE, and tag it.

ARAZZO

Amazon Forecast Provision Dataset

Create a dataset, poll until it becomes ACTIVE, and tag it.

ARAZZO

Amazon Forecast Register Dataset to Group

Create a dataset, wait until ACTIVE, then create a dataset group containing it.

ARAZZO

Amazon Forecast Train Predictor

Create a predictor, poll the listing until it is ACTIVE, and tag it.

ARAZZO

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Pricing Plans 1

Published pricing tiers and plan structures.

Amazon Forecast Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Amazon Forecast Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Amazon Forecast Finops

FINOPS

Features 7

Notable capabilities this provider offers.

AutoML

Automatically evaluates and selects from over 60 ML algorithms to find the best fit for your time-series data.

Probabilistic Forecasts

Generates quantile forecasts (p10, p50, p90) to estimate demand uncertainty and plan inventory buffers.

Domain-Specific Models

Pre-built domain configurations for retail, workforce, traffic, and cloud capacity forecasting.

Related Time Series

Incorporate external factors (price, promotions, holidays) as related time-series data to improve accuracy.

HPO (Hyperparameter Optimization)

Automatic tuning of model hyperparameters to maximize forecast accuracy.

Explainability

Forecast Explainability reports show which features most impact each individual forecast.

S3 Export

Export forecast results to Amazon S3 in CSV format for downstream consumption.

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Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Amazon Forecast Context

5 classes · 15 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Amazon Forecast API Rules

5 rules · 4 warnings 1 info

SPECTRAL

Amazon Forecast API Rules

35 rules · 7 errors 25 warnings 3 info

SPECTRAL

JSON Schema 5

Standalone JSON Schema definitions for this provider's data models.

DatasetGroup

7 properties

JSON SCHEMA

Dataset

8 properties

JSON SCHEMA

Forecast

7 properties

JSON SCHEMA

Predictor

10 properties

JSON SCHEMA

Tag

2 properties

JSON SCHEMA

JSON Structure 5

JSON Structure definitions describing this provider's data shapes.

Amazon Forecast Dataset Group Structure

0 properties

JSON STRUCTURE

Amazon Forecast Dataset Structure

0 properties

JSON STRUCTURE

Amazon Forecast Forecast Structure

0 properties

JSON STRUCTURE

Amazon Forecast Predictor Structure

0 properties

JSON STRUCTURE

Amazon Forecast Tag Structure

0 properties

JSON STRUCTURE

Examples 5

Example request and response payloads for these APIs.

Amazon Forecast Dataset Example

8 fields

EXAMPLE

Amazon Forecast Dataset Group Example

7 fields

EXAMPLE

Amazon Forecast Forecast Example

7 fields

EXAMPLE

Amazon Forecast Predictor Example

10 fields

EXAMPLE

Amazon Forecast Tag Example

2 fields

EXAMPLE

Security Posture 4

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Amazon Forecast Authentication

apiKey · 1 scheme

SECURITY

Amazon Forecast Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Amazon Forecast Vulnerability Disclosure

security.txt · contact published

SECURITY

Amazon Forecast Trust Center

PCI DSS, HIPAA, FedRAMP, GDPR, FIPS 140

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Amazon Forecast Agentic Access

12 operations · 6 acting

AGENTIC

Use Cases 6

What developers build with this provider.

Retail Demand Forecasting

Predict item-level sales for inventory planning and replenishment across stores.

Workforce Capacity Planning

Forecast staffing needs for contact centers and seasonal workforce management.

Cloud Resource Forecasting

Predict EC2 capacity requirements to optimize reserved instance purchases.

Supply Chain Optimization

Forecast component and raw material demand to reduce stockouts and carrying costs.

Financial Revenue Forecasting

Project revenue by product, region, and channel for financial planning.

Energy Load Forecasting

Predict electricity load and generation requirements for grid balancing.

Resources

Get Started 3

Portal, sign-up, and the first successful call

Portal

Portal

Console

Console

Signup

Signup

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 12

Pagination, idempotency, versioning, errors, and events

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

Arazzo

SpectralRules

Vocabulary

JSONLD

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Build 2

SDKs, sample code, and the tooling you integrate with

PostmanWorkspace

PostmanWorkspace

GitHubOrganization

GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Authentication

Authentication

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 3

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

StackOverflow

StackOverflow

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

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
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/amazon-forecast.png
tags:
- AWS
- Forecasting
- Machine-Learning
- Predictive Analytics
- Time Series
tags_raw:
- 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: '0.23'
apis:
- aid: amazon-forecast:amazon-forecast-dataset-groups-api
  name: Amazon Forecast Dataset Groups API
  description: Logical groupings of related datasets
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Dataset Groups
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-dataset-groups-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/forecast/latest/dg/what-is-forecast.html
  - 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: Examples
    url: examples/amazon-forecast-dataset-example.json
  - type: Examples
    url: examples/amazon-forecast-dataset-group-example.json
  - type: Examples
    url: examples/amazon-forecast-predictor-example.json
  - type: Examples
    url: examples/amazon-forecast-forecast-example.json
  - type: Examples
    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
- aid: amazon-forecast:amazon-forecast-datasets-api
  name: Amazon Forecast Datasets API
  description: Dataset management for training data
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Datasets
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-datasets-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/forecast/latest/dg/what-is-forecast.html
  - 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: Examples
    url: examples/amazon-forecast-dataset-example.json
  - type: Examples
    url: examples/amazon-forecast-dataset-group-example.json
  - type: Examples
    url: examples/amazon-forecast-predictor-example.json
  - type: Examples
    url: examples/amazon-forecast-forecast-example.json
  - type: Examples
    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
- aid: amazon-forecast:amazon-forecast-export-jobs-api
  name: Amazon Forecast Export Jobs API
  description: Forecast data export to S3
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Export Jobs
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-export-jobs-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/forecast/latest/dg/what-is-forecast.html
  - 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: Examples
    url: examples/amazon-forecast-dataset-example.json
  - type: Examples
    url: examples/amazon-forecast-dataset-group-example.json
  - type: Examples
    url: examples/amazon-forecast-predictor-example.json
  - type: Examples
    url: examples/amazon-forecast-forecast-example.json
  - type: Examples
    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
- aid: amazon-forecast:amazon-forecast-forecasts-api
  name: Amazon Forecast Forecasts API
  description: Generated forecast outputs
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Forecast
  tags_raw:
  - Forecasts
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-forecasts-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/forecast/latest/dg/what-is-forecast.html
  - 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: Examples
    url: examples/amazon-forecast-dataset-example.json
  - type: Examples
    url: examples/amazon-forecast-dataset-group-example.json
  - type: Examples
    url: examples/amazon-forecast-predictor-example.json
  - type: Examples
    url: examples/amazon-forecast-forecast-example.json
  - type: Examples
    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
- aid: amazon-forecast:amazon-forecast-predictors-api
  name: Amazon Forecast Predictors API
  description: ML models trained on dataset groups
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Predictors
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-predictors-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/forecast/latest/dg/what-is-forecast.html
  - 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: Examples
    url: examples/amazon-forecast-dataset-example.json
  - type: Examples
    url: examples/amazon-forecast-dataset-group-example.json
  - type: Examples
    url: examples/amazon-forecast-predictor-example.json
  - type: Examples
    url: examples/amazon-forecast-forecast-example.json
  - type: Examples
    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
- aid: amazon-forecast:amazon-forecast-tags-api
  name: Amazon Forecast Tags API
  description: Resource metadata labels
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Tags
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-tags-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/forecast/latest/dg/what-is-forecast.html
  - 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: Examples
    url: examples/amazon-forecast-dataset-example.json
  - type: Examples
    url: examples/amazon-forecast-dataset-group-example.json
  - type: Examples
    url: examples/amazon-forecast-predictor-example.json
  - type: Examples
    url: examples/amazon-forecast-forecast-example.json
  - type: Examples
    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: AgenticAccess
  url: agentic-access/amazon-forecast-agentic-access.yml
- type: TrustCenter
  url: security/amazon-forecast-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/amazon-forecast-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/amazon-forecast-domain-security.yml
- type: Authentication
  url: authentication/amazon-forecast-authentication.yml
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/amazon-forecast/overview
- type: Arazzo
  url: arazzo/amazon-forecast-end-to-end-pipeline-workflow.yml
  name: Amazon Forecast End to End Pipeline
- type: Arazzo
  url: arazzo/amazon-forecast-export-forecast-workflow.yml
  name: Amazon Forecast Export Forecast
- type: Arazzo
  url: arazzo/amazon-forecast-generate-forecast-workflow.yml
  name: Amazon Forecast Generate Forecast
- type: Arazzo
  url: arazzo/amazon-forecast-group-then-train-workflow.yml
  name: Amazon Forecast Group Then Train
- type: Arazzo
  url: arazzo/amazon-forecast-predict-and-forecast-workflow.yml
  name: Amazon Forecast Predict and Forecast
- type: Arazzo
  url: arazzo/amazon-forecast-provision-dataset-group-workflow.yml
  name: Amazon Forecast Provision Dataset Group
- type: Arazzo
  url: arazzo/amazon-forecast-provision-dataset-workflow.yml
  name: Amazon Forecast Provision Dataset
- type: Arazzo
  url: arazzo/amazon-forecast-register-dataset-to-group-workflow.yml
  name: Amazon Forecast Register Dataset to Group
- type: Arazzo
  url: arazzo/amazon-forecast-train-predictor-workflow.yml
  name: Amazon Forecast Train Predictor
- 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
x-parent: aws
x-relationship: product

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