Climavision

Climavision is a Louisville, Kentucky weather intelligence company that combines a proprietary nationwide supplemental network of low-altitude X-band, dual-polarization gap-filling weather radars with AI-driven numerical weather prediction (NWP) to deliver enterprise-grade forecasts and observational data. Its Horizon AI product line includes Horizon Point for site-specific forecasts, Horizon Global for ground-to-high- altitude global models, Horizon HI-RES for custom high-resolution local forecasting, and Horizon S2S for subseasonal-to-seasonal prediction. Climavision exposes a Weather API hosted at point-forecast-api.climavision.com with 1,800+ parameters, 15-day forecasts, and bearer-token authentication, plus a separate Radar Status API and Radar-as-a-Service offering that supplies Level II files, NetCDF, and GeoTIFF radar data products (reflectivity, velocity, dual-pol-derived QPE at 1km, precipitation type, tornado debris detection) for coverage below 4,000 feet where NEXRAD cannot see due to Earth curvature. The company integrates its radar feed into MRMS and has provided supplemental data into the National Weather Service's AWIPS software. Climavision processes 1.5+ billion datasets daily, serves customers across agriculture, aviation, commodity trading, drones and Advanced Air Mobility, energy and utilities, government, insurance and reinsurance, media, and transportation and logistics, and raised a $100 million strategic investment from TPG's Rise Fund. API access is gated through a sales-led contact process; no public sandbox or open-source SDKs are published, and the Climavision GitHub organization (github.com/Climavision) currently has only two minor public repositories (an archived Azure Table Storage helper and a GeoServer Helm chart fork).

Climavision is profiled on the APIs.io network. Tagged areas include Weather, Weather Intelligence, Forecasting, Numerical Weather Prediction, and Weather Radar.

Climavision’s developer surface includes documentation, engineering blog, GitHub presence, and 16 more developer resources.

🌐 Visit website 📡 Source on GitHub

5.4/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Weather Weather Intelligence ForecastingNumerical Weather PredictionWeather RadarX-Band RadarDual PolarizationGap-Filling RadarRadar as a ServiceAI ForecastingHorizon AIRenewable Energy Severe WeatherHurricaneAviation Weather Agriculture Energy Insurance

Kin Score

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

Composite quality — 5.4/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 4.3 / 9

Regulatory Posture 1.2 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 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

Regulatory Posture applies to this provider. Its tags matched the Energy & Utilities 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 could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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/climavision: 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 →

Security Posture 1

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

Climavision Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Build 1

SDKs, sample code, and the tooling you integrate with

GitHub

GitHub

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

RadarStatusAPI

RadarStatusAPI

Contact

Contact

Company 5

The organization behind the API

Website

About

Blog

Careers

LinkedIn

Other 9

Properties that don't map to a standard resource type

APIAccess

WeatherAPI

RadarAsAService

HorizonPoint

HorizonGlobal

HorizonHIRES

HorizonS2S

RenewableEnergy

CaseStudies

Scroll for all 9

Source (apis.yml)

aid: climavision
name: Climavision
description: Climavision is a Louisville, Kentucky weather intelligence company that combines a proprietary nationwide supplemental
  network of low-altitude X-band, dual-polarization gap-filling weather radars with AI-driven numerical weather prediction
  (NWP) to deliver enterprise-grade forecasts and observational data. Its Horizon AI product line includes Horizon Point for
  site-specific forecasts, Horizon Global for ground-to-high- altitude global models, Horizon HI-RES for custom high-resolution
  local forecasting, and Horizon S2S for subseasonal-to-seasonal prediction. Climavision exposes a Weather API hosted at point-forecast-api.climavision.com
  with 1,800+ parameters, 15-day forecasts, and bearer-token authentication, plus a separate Radar Status API and Radar-as-a-Service
  offering that supplies Level II files, NetCDF, and GeoTIFF radar data products (reflectivity, velocity, dual-pol-derived
  QPE at 1km, precipitation type, tornado debris detection) for coverage below 4,000 feet where NEXRAD cannot see due to Earth
  curvature. The company integrates its radar feed into MRMS and has provided supplemental data into the National Weather
  Service's AWIPS software. Climavision processes 1.5+ billion datasets daily, serves customers across agriculture, aviation,
  commodity trading, drones and Advanced Air Mobility, energy and utilities, government, insurance and reinsurance, media,
  and transportation and logistics, and raised a $100 million strategic investment from TPG's Rise Fund. API access is gated
  through a sales-led contact process; no public sandbox or open-source SDKs are published, and the Climavision GitHub organization
  (github.com/Climavision) currently has only two minor public repositories (an archived Azure Table Storage helper and a
  GeoServer Helm chart fork).
type: Index
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
position: Producing
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/climavision.png
tags:
- Weather
- Weather Intelligence
- Forecasting
- Numerical Weather Prediction
- Weather Radar
- X-Band Radar
- Dual Polarization
- Gap-Filling Radar
- Radar as a Service
- AI Forecasting
- Horizon AI
- Renewable Energy
- Severe Weather
- Hurricane
- Aviation Weather
- Agriculture
- Energy
- Insurance
url: https://raw.githubusercontent.com/api-evangelist/climavision/refs/heads/main/apis.yml
created: '2026-05-24'
modified: '2026-05-24'
specificationVersion: '0.23'
apis: []
common:
- type: DomainSecurity
  url: security/climavision-domain-security.yml
- type: Website
  url: https://climavision.com
- type: About
  url: https://climavision.com/about/
- type: Documentation
  url: https://docs.climavision.com/
- type: APIAccess
  url: https://docs.climavision.com/docs/access-to-apim-climavision
- type: WeatherAPI
  url: https://climavision.com/weather-api/
- type: RadarStatusAPI
  url: https://radardocs.climavision.com/
- type: RadarAsAService
  url: https://climavision.com/radar-as-a-service/
- type: HorizonPoint
  url: https://climavision.com/horizon-ai-point/
- type: HorizonGlobal
  url: https://climavision.com/horizon-ai-global/
- type: HorizonHIRES
  url: https://climavision.com/horizon-ai-hires/
- type: HorizonS2S
  url: https://climavision.com/horizon-ai-subseasonal-and-seasonal/
- type: RenewableEnergy
  url: https://climavision.com/renewable-energy-forecasting/
- type: Blog
  url: https://climavision.com/blog/
- type: CaseStudies
  url: https://climavision.com/resources/case-studies/
- type: Careers
  url: https://climavision.com/careers/
- type: Contact
  url: https://climavision.com/contact/
- type: GitHub
  url: https://github.com/Climavision
- type: LinkedIn
  url: https://www.linkedin.com/company/climavision
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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