# Zeitview

**Canonical:** https://apis.io/providers/zeitview/  
**Website:** https://www.zeitview.com  
**APIs profiled:** 0

Zeitview (formerly DroneBase) is an AI-powered aerial inspection and asset intelligence platform. It combines a managed network of drone and aircraft pilots with computer-vision analytics and lifecycle asset-management software to deliver inspection imagery, condition assessments, and actionable intelligence for wind energy, solar, utilities, oil & gas, construction, commercial real estate, and property management. As of this profile the company operates a customer web platform, support center, and blog but does not publish a public developer API, developer portal, or SDK; data access is arranged through direct customer engagement.

## Kin Score — 10.6 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 10.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

Regulatory layer — **Energy & Utilities**: 18.9 (matched via tags).

## Agent readiness — 0.0 (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 | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

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

## Security (1)

- **Zeitview Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Drones, Aerial Imagery, Inspection, Asset Intelligence, Computer-Vision, Renewable Energy, Geospatial

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