# Mineral Forecast

**Canonical:** https://apis.io/providers/mineral-forecast/  
**Website:** https://en.mineralforecast.com/  
**APIs profiled:** 0

Mineral Forecast is a geosciences AI company (backed by Techstars) that helps mineral exploration and mining teams identify the best drilling targets. Its explainable-AI geoscientific platform ingests exploration data to accelerate prospecting and site targeting across base metals, ferrous and industrial metals, industrial minerals, precious metals, and rare earth elements. Products include an AI geosciences platform, AI targeting, AI geological explainability analytics, and a Geo-Insights Hub, positioned as a human-centered decision-support tool for experienced geologists worldwide. As of this enrichment pass Mineral Forecast operates a B2B product and marketing website with no public developer API, SDK, or documented API surface; engagement is via request-a-demo and sales.

## Kin Score — 15.4 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 15.4).

| 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 | 44.7 |
| Access Clarity | 44.7 |

## 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)

- **Mineral Forecast Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Mining, Geosciences, Artificial Intelligence, Mineral Exploration, Geology, Explainable AI, Software-as-a-Service

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