# Makani *

**Canonical:** https://apis.io/providers/makani/  
**Website:** https://x.company/projects/makani/  
**APIs profiled:** 0

Makani was an Alphabet (Google X) moonshot developing airborne wind energy — "energy kites" that flew in crosswind loops to generate electricity and sent power to the grid down a tether. Backed within Alphabet and partnered with Shell, Makani wound down in 2020 after roughly 13 years of development. On closure the team open-sourced its full flight-simulation, autopilot controller, visualization, and avionics software stack under Apache-2.0 and published the Energy Kite Collection of technical reports, designs, and flight logs. Makani has no commercial or developer API surface; this API Evangelist profile tracks the company for network completeness.

## Kin Score — 10.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+1.1 from 8.9).

| Facet | Score |
|---|---|
| Discoverability | 68.5 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 13.2 |
| Developer Ergonomics | 9.5 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Energy & Utilities**: 16.2 (matched via tags).

## Agent readiness — 2.6 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | yes |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (2)

- **Makani Domain Security** — TLSv1.3 · HSTS · DMARC
- **Makani Vulnerability Disclosure** — security.txt · contact published

## Tags

Company, Frontier Tech, Renewable Energy, Wind Energy, Airborne Wind, Open-Source, Alphabet

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/makani/). Scores are computed from the provider's own public artifacts under a published rubric.