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 17 API contracts indexed on the APIs.io network, including Dataset Groups API, Datasets API, Export Jobs API, and 14 more. Tagged areas include Amazon Web Services, 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 28 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

64.0/100 strong ▬ flat Agent 26/100 agent aware saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 published contract 7 Features 6 Use Cases

Amazon Web Services Forecasting Machine Learning Predictive Analytics Time Series

What this lets a business do 2

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

AI Model Services

AE-110

amazon-forecast-datasets-apiamazon-forecast-operations-api

POST /#CreateDataset POST /#DescribeDataset POST /#CreateAutoPredictor POST /#GetAccuracyMetrics

Information & Data Management

BC-610

Predictors

POST /predictors

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 64.0/100 · strong

Contract Quality 13.7 / 19

Developer Ergonomics 8.0 / 15

Access Clarity 13.8 / 15

Operational Transparency 3.6 / 10

Contract Governance 2.5 / 9

Discoverability 5.0 / 8

Regulatory Posture 4.9 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 26/100 · agent aware

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

Pagination 5 / 5

Distinct Operations 0 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

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.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks

8 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Developer Ergonomics scores 53.6 — up to +9.3 composite points
Contract Governance scores 27.3 — up to +8.7 composite points
Operational Transparency scores 36.8 — up to +8.2 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/amazon-forecast/apis.yml: open an issue on github.com/api-evangelist/amazon-forecast to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

APIs 17

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

Amazon Forecast Forecast Dataset Import Job API

The Forecast Dataset Import Job API from Amazon Forecast — 4 operation(s) for forecast dataset import job.

Amazon Forecast Forecast Explainability API

The Forecast Explainability API from Amazon Forecast — 4 operation(s) for forecast explainability.

Amazon Forecast Forecast Explainability Export API

The Forecast Explainability Export API from Amazon Forecast — 4 operation(s) for forecast explainability export.

Amazon Forecast Forecast Forecast Export Job API

The Forecast Forecast Export Job API from Amazon Forecast — 3 operation(s) for forecast forecast export job.

Amazon Forecast Forecast Monitor API

The Forecast Monitor API from Amazon Forecast — 4 operation(s) for forecast monitor.

Amazon Forecast Forecast Operations API

The Forecast Operations API from Amazon Forecast — 7 operation(s) for forecast operations.

Amazon Forecast Forecast Predictor Backtest Export Job API

The Forecast Predictor Backtest Export Job API from Amazon Forecast — 4 operation(s) for forecast predictor backtest export job.

Amazon Forecast Forecast Resource API

The Forecast Resource API from Amazon Forecast — 3 operation(s) for forecast resource.

Amazon Forecast Forecast What If Analysis API

The Forecast What If Analysis API from Amazon Forecast — 3 operation(s) for forecast what if analysis.

Amazon Forecast Forecast What If Forecast API

The Forecast What If Forecast API from Amazon Forecast — 4 operation(s) for forecast what if forecast.

Amazon Forecast Forecast What If Forecast Export API

The Forecast What If Forecast Export API from Amazon Forecast — 4 operation(s) for forecast what if forecast export.

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Postman Collections 1

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

Amazon Forecast API

POSTMAN

Open Collections 7

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

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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Amazon Forecast API pricing

Prices published by Amazon Forecast, read 2026-10-28 from aws.amazon.com/forecast/pricing/.

Plan	Price
Imported data	$0.088 per GB
Training a predictor	$0.24 per hour
Generated forecast data points – first 100K	$2.00 per 1000 forecast data points
Generated forecast data points – next 900K	$0.80 per 1000 forecast data points
Generated forecast data points – next 49M	$0.20 per 1000 forecast data points
Generated forecast data points – over 50M	$0.02 per 1000 forecast data points
Legacy CreatePredictor API forecasts	$0.60 per 1,000 time series per 1,000 time series per quantile
Forecast Explanations – first 50K	$2.00 per 1000 explanations

All 12 plans, limits and sources →

Rate limits

Free Tier Default: 10 requests per minute
Free Tier Monthly Quota: 1000 requests per month
Professional Tier Default: 100 requests per minute

Compiled by API Evangelist, not yet checked against Amazon Forecast's documentation. All 5 limits →

Billed by: 1000 forecast data points · FinOps profile →

Pricing Plans 1

Published pricing tiers and plan structures.

Amazon Forecast Plans Pricing

12 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Amazon Forecast Rate Limits

5 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Amazon Forecast

SLA

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 — jsonschema 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 4

Status, limits, changes, and where to get help

RateLimits

Support

StatusPage

StackOverflow

Commercial 4

Pricing, plans, and the legal terms of use

Plans

FinOps

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

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
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/amazon-forecast.png
tags:
- Amazon Web Services
- Forecasting
- Machine Learning
- Predictive Analytics
- Time Series
tags_raw:
- AWS
- Forecasting
- Machine Learning
- Predictive Analytics
- Time Series
- Machine-Learning
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
- aid: amazon-forecast:amazon-forecast-dataset-import-job-api
  name: Amazon Forecast Forecast Dataset Import Job API
  description: The Forecast Dataset Import Job API from Amazon Forecast — 4 operation(s) for forecast dataset import job.
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Forecast Dataset Import Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-dataset-import-job-api-openapi.yml
- aid: amazon-forecast:amazon-forecast-explainability-api
  name: Amazon Forecast Forecast Explainability API
  description: The Forecast Explainability API from Amazon Forecast — 4 operation(s) for forecast explainability.
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Forecast Explainability
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-explainability-api-openapi.yml
- aid: amazon-forecast:amazon-forecast-explainability-export-api
  name: Amazon Forecast Forecast Explainability Export API
  description: The Forecast Explainability Export API from Amazon Forecast — 4 operation(s) for forecast explainability export.
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Forecast Explainability Export
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-explainability-export-api-openapi.yml
- aid: amazon-forecast:amazon-forecast-forecast-export-job-api
  name: Amazon Forecast Forecast Forecast Export Job API
  description: The Forecast Forecast Export Job API from Amazon Forecast — 3 operation(s) for forecast forecast export job.
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Forecast Forecast Export Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-forecast-export-job-api-openapi.yml
- aid: amazon-forecast:amazon-forecast-monitor-api
  name: Amazon Forecast Forecast Monitor API
  description: The Forecast Monitor API from Amazon Forecast — 4 operation(s) for forecast monitor.
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Forecast Monitor
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-monitor-api-openapi.yml
- aid: amazon-forecast:amazon-forecast-operations-api
  name: Amazon Forecast Forecast Operations API
  description: The Forecast Operations API from Amazon Forecast — 7 operation(s) for forecast operations.
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Forecast Operations
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-operations-api-openapi.yml
- aid: amazon-forecast:amazon-forecast-predictor-backtest-export-job-api
  name: Amazon Forecast Forecast Predictor Backtest Export Job API
  description: The Forecast Predictor Backtest Export Job API from Amazon Forecast — 4 operation(s) for forecast predictor
    backtest export job.
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Forecast Predictor Backtest Export Job
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-predictor-backtest-export-job-api-openapi.yml
- aid: amazon-forecast:amazon-forecast-resource-api
  name: Amazon Forecast Forecast Resource API
  description: The Forecast Resource API from Amazon Forecast — 3 operation(s) for forecast resource.
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Forecast Resource
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-resource-api-openapi.yml
- aid: amazon-forecast:amazon-forecast-what-if-analysis-api
  name: Amazon Forecast Forecast What If Analysis API
  description: The Forecast What If Analysis API from Amazon Forecast — 3 operation(s) for forecast what if analysis.
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Forecast What If Analysis
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-what-if-analysis-api-openapi.yml
- aid: amazon-forecast:amazon-forecast-what-if-forecast-api
  name: Amazon Forecast Forecast What If Forecast API
  description: The Forecast What If Forecast API from Amazon Forecast — 4 operation(s) for forecast what if forecast.
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Forecast What If Forecast
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-what-if-forecast-api-openapi.yml
- aid: amazon-forecast:amazon-forecast-what-if-forecast-export-api
  name: Amazon Forecast Forecast What If Forecast Export API
  description: The Forecast What If Forecast Export API from Amazon Forecast — 4 operation(s) for forecast what if forecast
    export.
  humanURL: https://aws.amazon.com/forecast/
  baseURL: https://forecast.amazonaws.com
  tags:
  - Forecast What If Forecast Export
  properties:
  - type: OpenAPI
    url: openapi/amazon-forecast-what-if-forecast-export-api-openapi.yml
common:
- type: Plans
  url: plans/amazon-forecast-plans-pricing.yml
- type: RateLimits
  url: rate-limits/amazon-forecast-rate-limits.yml
- type: FinOps
  url: finops/amazon-forecast-finops.yml
- type: CapabilityMap
  url: capabilities/amazon-forecast-capability-edges.yml
  name: Amazon Forecast Business Capability Map
- 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: amazon-web-services
x-relationship: product

Amazon Forecast API — frequently asked questions

Does Amazon Forecast have an API?

Yes. APIs.io lists 17 APIs from Amazon Forecast, including Amazon Forecast Dataset Groups API, Amazon Forecast Datasets API and Amazon Forecast Export Jobs API, and 14 more.

Is there an OpenAPI specification for the Amazon Forecast API?

Yes. APIs.io indexes 17 OpenAPI specifications for Amazon Forecast, each linked for download from this page.

How do I authenticate with the Amazon Forecast API?

Amazon Forecast uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Amazon Forecast Authentication.

How much does the Amazon Forecast API cost?

Amazon Forecast publishes its prices; its Imported data plan is $0.088 per GB as of 2026-10-28. APIs.io lists 12 pricing plans for Amazon Forecast, with each plan's price, limits and inclusions under Pricing on this page.

Is the Amazon Forecast API ready for AI agents?

Amazon Forecast has a Kin Score of 64.0 out of 100 (strong) and an Agent Readiness score of 25.6 (agent-aware), scored by API Evangelist on 2026-11-06.

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