# VerAI

**Canonical:** https://apis.io/providers/verai/  
**Website:** https://ver-ai.com/  
**APIs profiled:** 0

VerAI Discoveries is an AI-driven mineral discovery company founded in 2020 and headquartered in Boston, Massachusetts. Its proprietary AI/ML Discovery Platform searches magnetic, gravimetric, electromagnetic, and seismic geophysical datasets to detect concealed mineral deposits in underexplored covered terrain, generating drill-ready targets across a portfolio of more than sixty mineral projects and royalties in North and South America. VerAI partners with explorers and investors to develop critical-mineral assets essential to the green-energy transition. The company is backed by Insight Partners, Blumberg Capital, Chrysalix Venture Capital, and Orion Industrial Ventures, and to date exposes no public developer API surface.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

| 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 |

## 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)

- **Verai Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Artificial Intelligence, Machine-Learning, Mining, Mineral Exploration, Geoscience, Critical Minerals, Geospatial

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