The short comparison
Investigate the rare-earth chain.
A curated dataset of companies, facilities, output and disclosed relationships, with evidence, comparisons, saved investigations and assumption-based scenarios.
Published offering
Descartes Datamyne describes global trade data built from official customs and government sources. Its proposition is relevant to market sizing, trade research and counterparty discovery. The existence of a global service does not establish uniform record detail or coverage in every country; buyers should confirm the relevant dataset.
Provider source ↗What can a customs category actually resolve?
A customs classification can be useful for observing flows, but the category may be broader than the material or grade in your decision. A trade total is not automatically a production total. Imports may include re-exports, intermediary movements or goods that do not match the specification your organisation requires.
Suppose a team wants to identify alternatives for a particular magnet input. Starting with trade patterns can reveal relevant countries and counterparties. The next step is to establish which facilities produce the required material, whether they are operating and what is known about their commitments. Treat those as separate evidence questions rather than a single query result.
How the work differs
Use Oreline to inspect the actual companies and facilities on the shortlist. Compare production observations by product and reporting period, then follow documented supply routes. Where the source only supports a broad material category, do not upgrade it into a precise factory capability.
Sources, reporting periods and evidence gaps remain visible throughout the investigation. Coverage is reviewed rather than exhaustive or live, and undisclosed quantities stay unknown. Read how the analysis handles them.
Why Oreline for this work
After identifying a promising country or counterparty, the next question is what it can supply and through which operations. Oreline brings that investigation into one workspace, with production evidence and reported relationships kept distinct. Start with the sandbox to inspect the chain behind a candidate.
Pricing and access
Oreline costs $1,000 USD per organisation per month, including 20 individual seats and access to the published research library, curated dataset and investigation tools. See the subscription details.
Descartes Datamyne pricing is not quoted here. When comparing costs, account for the required modules, team access, data rights and contract term. Oreline's organisation plan includes the published research and working tools in one subscription.
Oreline’s free sandbox needs no account and contains selected examples. It is a product evaluation, not free access to the full subscription workspace.
What to test before buying
- Confirm product-code detail and whether it matches the material you actually buy.
- Separate shipment value, shipment mass and reported production in the analysis.
- Ask about country-level coverage, revisions and data-licensing rights.
Frequently asked questions
Are trade volumes equivalent to mine output?
No. They measure different activities and can cover different products, periods and geographic boundaries.
Why use Oreline after finding a supplier in trade data?
To examine its researched facilities, operating evidence and dependencies before assuming that a trading counterparty provides the supply capability you need.
Sources and scope
Provider information checked on . Product descriptions are attributed to the provider; recommendations are Oreline’s assessment of workflow fit. An unmentioned feature is not evidence that the provider lacks it.
- Descartes Datamyne global trade data
- Oreline’s product, team and subscription scope
- Our comparison and corrections policy
Spotted a changed feature or an error? Send the relevant source to support@sirca.io.
Test the work, not just the description.
Follow a dependency, inspect production evidence and challenge a supplier assumption.
Explore Oreline →