Mineral Forecast

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.

Mineral Forecast is profiled on the APIs.io network. Tagged areas include Company, Mining, Geosciences, Artificial Intelligence, and Mineral Exploration.

Mineral Forecast’s developer surface includes pricing, engineering blog, support, signup flow, and 7 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

21.1/100 emerging ▬ flat Agent 0/100 human only Front door AI 5/6 prominent Heartbeat 75/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs

Company MiningGeosciencesArtificial Intelligence Mineral Exploration Geology Explainable AI Software-as-a-Service

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 21.1/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 13.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 7.1 — up to +18.6 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/mineral-forecast/apis.yml: open an issue on github.com/api-evangelist/mineral-forecast to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Mineral Forecast API pricing

Prices published by Mineral Forecast, read 2026-10-07 from www.mineralforecast.com/pricing/.

Plan	Price
Starter Edition	Contact Us Includes: Up to 10 users; Geo Insights Hub (1 project); 2D visualizations; standard reports; early exploration
Expansion Edition	Contact Us Includes: Up to 100 users; Geo Insights Hub (10 projects); project organizer; cross-project visibility
Enterprise Edition	Contact Us Includes: Unlimited users; unlimited projects; enterprise access/visibility controls; Access to API (at additi
Training	$1,000 per workshop

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Mineral Forecast Plans Pricing

4 plans

PLANS

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Mineral Forecast Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 4

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

LinkedIn

Source (apis.yml)

aid: mineral-forecast
name: Mineral Forecast
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/mineral-forecast/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://www.mineralforecast.com/wp-content/uploads/2025/08/mineral-forecast-1200x675-1.png
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Mining
- Geosciences
- Artificial Intelligence
- Mineral Exploration
- Geology
- Explainable AI
- Software-as-a-Service
tags_raw:
- Company
- Mining
- Geosciences
- Artificial Intelligence
- Mineral Exploration
- Geology
- Explainable AI
- SaaS
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/mineral-forecast-plans-pricing.yml
- url: https://www.mineralforecast.com/blog/feed/
  type: BlogRSS
- type: DomainSecurity
  url: security/mineral-forecast-domain-security.yml
- type: Website
  url: https://en.mineralforecast.com/
- type: Pricing
  url: https://www.mineralforecast.com/pricing/
- type: Blog
  url: https://www.mineralforecast.com/blog/
- type: Support
  url: https://www.mineralforecast.com/customer-support/
- type: SignUp
  url: https://www.mineralforecast.com/request-demo/
- type: TermsOfService
  url: https://www.mineralforecast.com/terms/
- type: PrivacyPolicy
  url: https://www.mineralforecast.com/privacy-policy/
- type: LinkedIn
  url: https://www.linkedin.com/company/mineral-forecast/
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1

Mineral Forecast API — frequently asked questions

How much does the Mineral Forecast API cost?

Mineral Forecast publishes its prices; its Training plan is $1,000 per workshop as of 2026-10-07. APIs.io lists 4 pricing plans for Mineral Forecast, with each plan's price, limits and inclusions under Pricing on this page.

Is the Mineral Forecast API ready for AI agents?

Mineral Forecast has a Kin Score of 21.1 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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