# Terra AI

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

Terra AI is a geoscience frontier company building specialized artificial intelligence for the natural resources sector, focused on subsurface characterization and exploration optimization for mining and reservoir operators. Its platform integrates exploration data to generate large populations of geological models, helping teams decide where to drill, characterize deposits, and assess project economics earlier — the company cites 50-60% fewer drilling meters and 2-3x more precise resource estimates versus conventional methods. Terra AI raised a $20M Series A led by Khosla Ventures with BHP Ventures in June 2026 and serves copper, gold, rare-earth (REE), and reservoir projects. The company operates on a B2B model and publishes no public developer API, SDK, or developer portal at this time.

## Kin Score — 2.1 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 2.1).

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

Regulatory layer — **Energy & Utilities**: 0.0 (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).

## Tags

Company, Artificial Intelligence, Geoscience, Mining, Energy, Subsurface, Exploration, Natural Resources

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