Brickroad
Brickroad
IndexSignalsBlog
/Index//

Product

  • Information Frontier Agent
  • Vendor Management Agent
  • Product Tour
  • Pricing

Solutions

  • All Solutions
  • Atlas
  • Wayfinder
  • Horizon

Suppliers

  • Sell Your Data
  • Start Onboarding
  • Programmatic Data License

Community

  • Public Index
  • Signals
  • Blog

Company

  • About
  • Team
  • Careers
  • Brand

Connect

  • LinkedIn
  • X
PrivacyTermsCookies

© 2026 Brickroad

/Index/MineGPT/Structured, AI-processed global mining technical-report corpus
M

Structured, AI-processed global mining technical-report corpus

MINEGPTManage supplier listing

Structured, AI-processed global mining technical-report corpus: 7,367 NI 43-101 / SK-1300 / JORC-competent-person reports spanning 3,792 companies, 136 countries and 142 commodities, indexed and chunked with page-level citations, plus a company-project-commodity-person knowledge graph and model-derived project attributes (capex, production rate, dilution, recovery, infrastructure, emissions and water risks, with page references such as [p. 425]).

Open buyer room →
MineGPT/Structured, AI-processed global mining technical-report corpus
SampleCoverage

Sample

Brickroad customers

Sample this dataset before you buy it.

Your sourcing agent asks MineGPT and files the sample in your catalog — private to you.

Start 7-day trial→Nothing is charged until the trial ends.

Coverage

Universe, instruments and categories.

Industry
Diversified Metals & MiningApplication Software
Instruments
equitiescommodities
Categories
AlternativeFundamentalReferenceESG
Regions
OtherAPACUKUS
Sample tickers
LUNMNOAIOC.AXIGO.AXPLS.AXMPCCJNUSVF
Dataset card
Type
not stated
Format
Multimodal — source PDFs (technical reports, downloadable in-app) plus a derived graph/tabular layer (entities and relations for the General Knowledge Graph) and text embeddings/extracted tables used for retrieval with page-level provenance
Volume
Stated: 7,367 technical reports, 3,792 companies, 136 countries, 142 commodities. At several hundred pages per technical report this implies a corpus on the order of 2-4 million document pages, plus the derived entity/relation graph over those reports.
Users
N/A for consumers — paid-subscription B2B platform ('Paid plans only' gating the knowledge graph); no subscriber count published. Est. low hundreds of professional seats inferred from a one-person organisation operating an AI-native product.
History
25 years
Update frequency
not stated
Growth
Active — live coverage counters, 2025-dated feasibility studies already ingested (e.g. a 2025 NI 43-101 for a named project), a demo video and a paid-plan gating funnel; site built on a rapid-iteration front-end stack.
Launched
~2024-2025 (modern AI-native product with LLM chat as the core interface, a rapid-build front-end stack, and a single-person organisation in company records).
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

MineGPT has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling