WindBorne Systems

WindBorne Systems operates a global constellation of long-duration Global Sounding Balloons and pairs that proprietary in-situ atmospheric data with WeatherMesh, its AI-based numerical weather forecast model. The WindBorne Data API serves real-time balloon observations, soundings, super-observations, constellation and flight-path metadata, point and gridded WeatherMesh forecasts, tropical-cyclone tracks, and population-weighted heating/cooling degree-day insights. Access is via a Bearer API key over REST, an official Python library and CLI, and a hosted Model Context Protocol server for AI agents.

WindBorne Systems publishes 1 API on the APIs.io network. Tagged areas include Company, Weather, Weather Data, Forecasting, and Atmospheric Data.

WindBorne Systems’ developer surface includes documentation, getting-started guide, engineering blog, signup flow, support, and 5 more developer resources.

🌐 Visit website 📡 Source on GitHub

23.5/100 emerging ▬ flat Agent 11/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

1 APIs 1 MCP Servers

Company Weather Weather Data ForecastingAtmospheric DataGeospatial Climate Machine-Learning MCP

Kin Score

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

Composite quality — 23.5/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 12.4 / 20

Access Clarity 2.6 / 20

Operational Transparency 0.3 / 13

Contract Governance 0.5 / 12

Discoverability 7.6 / 10

Agent readiness — 11/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 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

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.

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/windbornesystems: 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 1

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

WindBorne Data API

REST API serving balloon observations, soundings, WeatherMesh point and gridded forecasts, constellation/flight metadata, tropical cyclones, and population-weighted degree-day i...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

WindBorne Systems MCP Server

MCP SERVER

Security Posture 2

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

Windbornesystems Authentication

2 schemes

SECURITY

Windbornesystems Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: windbornesystems
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/windbornesystems.png
name: WindBorne Systems
description: WindBorne Systems operates a global constellation of long-duration Global Sounding Balloons and pairs that proprietary
  in-situ atmospheric data with WeatherMesh, its AI-based numerical weather forecast model. The WindBorne Data API serves
  real-time balloon observations, soundings, super-observations, constellation and flight-path metadata, point and gridded
  WeatherMesh forecasts, tropical-cyclone tracks, and population-weighted heating/cooling degree-day insights. Access is via
  a Bearer API key over REST, an official Python library and CLI, and a hosted Model Context Protocol server for AI agents.
url: https://raw.githubusercontent.com/api-evangelist/windbornesystems/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- khosla-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Weather
- Weather Data
- Forecasting
- Atmospheric Data
- Geospatial
- Climate
- Machine-Learning
- MCP
tags_raw:
- Company
- Weather
- Weather Data
- Forecasting
- Atmospheric Data
- Geospatial
- Climate
- Machine Learning
- MCP
apis:
- name: WindBorne Data API
  description: REST API serving balloon observations, soundings, WeatherMesh point and gridded forecasts, constellation/flight
    metadata, tropical cyclones, and population-weighted degree-day insights. Bearer API-key auth; JSON, netCDF, Zarr, and
    PrepBUFR response formats.
  humanURL: https://api.windbornesystems.com/
  baseURL: https://api.windbornesystems.com
  tags:
  - Weather
  - Forecasting
  - Observations
  - Atmospheric Data
  properties:
  - type: Documentation
    url: https://api.windbornesystems.com/
  - type: GettingStarted
    url: https://api.windbornesystems.com/getting-started/
  - type: APIReference
    url: https://api.windbornesystems.com/observations/version_1/overview/
  - type: Authentication
    url: authentication/windbornesystems-authentication.yml
  - type: Packages
    url: packages/windbornesystems-packages.yml
  - type: SDKs
    url: packages/windbornesystems-packages.yml
  - type: CLI
    url: cli/windbornesystems-cli.yml
  - type: MCPServer
    url: mcp/windbornesystems-mcp.yml
  - type: LLMsTxt
    url: llms/windbornesystems-llms.txt
  - type: Conventions
    url: conventions/windbornesystems-conventions.yml
  - type: Conformance
    url: conformance/windbornesystems-conformance.yml
  - type: WellKnown
    url: well-known/windbornesystems-well-known.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://windbornesystems.com/
- type: Documentation
  url: https://api.windbornesystems.com/
- type: GettingStarted
  url: https://api.windbornesystems.com/getting-started/
- type: Blog
  url: https://windbornesystems.com/blog
- type: GitHubOrganization
  url: https://github.com/windborne
- type: SignUp
  url: https://app.windbornesystems.com/api_tokens
- type: Support
  url: https://windbornesystems.com/faq
- type: DomainSecurity
  url: security/windbornesystems-domain-security.yml
- type: MCPServer
  url: mcp/windbornesystems-mcp.yml
- type: LLMsTxt
  url: llms/windbornesystems-llms.txt
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 8
  pass: local-v1

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