Dark Sky
Dark Sky is a hyperlocal weather forecast REST API (now part of Apple) that provided minute-by-minute precipitation forecasts, hourly weather conditions, and multi-day outlooks powered by machine-learning models. The API delivered real-time and historical weather data for any latitude and longitude worldwide, including current conditions, 60-minute minutely precipitation intensity, 48-hour hourly forecasts, and 7-day daily summaries. It was acquired by Apple in March 2020; new developer signups closed immediately, and the API was permanently shut down on March 31, 2023. Apple's WeatherKit REST API is the successor service.
Dark Sky publishes 2 APIs on the APIs.io network: Forecast API and Time Machine API. Tagged areas include Weather, Forecast, Hyperlocal, Precipitation, and Machine Learning.
The Dark Sky catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.
Dark Sky’s developer surface includes authentication, documentation, engineering blog, pricing, and 10 more developer resources.
Kin Score
APIs 2
Individual APIs this provider publishes, each with its own machine-readable definition.
Dark Sky Forecast API
Current and forecast weather data for a given location
Dark Sky Time Machine API
Historical or future weather data for a specific point in time
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Dark Sky Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Dark Sky Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Dark Sky Context
JSON-LDSpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
Dark Sky API Rules
SPECTRALJSON Schema 1
Standalone JSON Schema definitions for this provider's data models.
Dark Sky Forecast Response
JSON SCHEMAExamples 2
Example request and response payloads for these APIs.
Forecast Response
EXAMPLETime Machine Response
EXAMPLESecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type