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
CRU's rare-earth market analysis discusses regional price divergence, processing concentration and alternative future market outcomes. It describes both ready-made intelligence and tailored research. The reviewed material is evidence of substantive rare-earth analysis, not a basis for assuming every CRU subscription includes the same datasets or services.
Provider source ↗Do you need a price scenario or an operating dependency scenario?
A price scenario asks what material may cost under a set of market conditions. An operating dependency scenario asks which documented facilities and relationships may be affected if a particular part of the chain changes. They can inform the same board decision, but the outputs are not interchangeable.
For example, an attractive premium for non-Chinese supply might support a development thesis. It does not establish that a particular proposed refinery has secured feedstock, reached commercial production or qualified material with customers. Those are separate evidence tests. The useful comparison is between the work your team needs to do, not competing claims about who understands rare earths.
How the work differs
Use Oreline to examine a proposed alternative at facility level. Review its status, source dates and known input relationships, then distinguish a project-delay case from a loss of current output. Bring the result back to your economic assessment with the unresolved conditions plainly identified.
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
An economic thesis becomes more useful when its industrial assumptions can be inspected. Oreline gives your team a connected research base for checking which operations and relationships support the case. Follow an example in the sandbox to see how facility evidence sharpens an investment or sourcing question.
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.
CRU 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
- Write separate requirements for economic modelling and physical dependency analysis.
- Ask which rare-earth products and regions a proposed CRU service covers.
- Review the same development project against feedstock, commissioning and customer evidence.
Frequently asked questions
Does Oreline forecast regional rare-earth price premiums?
No. Its scenarios explore documented network consequences under user-selected assumptions, not future prices or probabilities.
How does Oreline support an investment committee discussion?
Oreline helps the team connect an industrial thesis to named facilities, reported production and disclosed supply relationships. That makes the supporting evidence and unresolved assumptions available for discussion rather than leaving them behind a headline conclusion.
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.
- CRU rare-earth market analysis and special report
- 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.
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