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Documentation Index

Fetch the complete documentation index at: https://docs.alterscope.org/llms.txt

Use this file to discover all available pages before exploring further.

If you are responsible for where capital goes and whether it’s safe once deployed, this page is the starting point. It answers the three questions a risk evaluator asks first: can I trust this data, what exactly do I get, and how do I try it?

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Why you can trust the data

Trust is not a tagline here — it’s built into the product and documented openly:
  • Every number states its own freshness and quality. Each response carries a freshness status and a quality verdict, and names any degraded inputs. A stale or low-confidence answer says so. See Freshness & quality.
  • The methodology is published. How factor scores, VaR, oracle classification, and pool risk scores are computed is written down — including the assumptions and the limitations. See Methodology.
  • Provenance is auditable. Data is sourced directly from the chain and normalized once; responses can name the sources behind a number. See Data provenance.
  • Coverage is honest. A machine-readable coverage manifest reports what’s complete and where the gaps are — you verify before you rely.
We make no certification claims and publish no guarantees — our numbers are model estimates and inputs to your decision, not a substitute for it. That honesty is the point.

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What you get

  • Pre-deposit due diligence on vaults: composition, oracle soundness, and curator track record.
  • Continuous monitoring: exposure breakdowns, a risk-events feed, and webhooks that push when something changes.
  • Curator selection: track record, fees, allocations, and cap history to compare managers.
  • Peg & contagion watch: peg history, market regime, and capital-flow signals for treasury assets.
These map to concrete API workflows — see the use cases.

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How to run an evaluation

1

See what's covered

Check the Coverage page and query the open GET /v2/data-manifest to confirm the markets and assets you care about are covered, and how completely.
2

Read the methodology for the signals you'd use

Skim Methodology and Limitations for the specific scores you’d act on — so you know what they do and don’t claim.
3

Try the API on a real position

Get a key via Get started and run one of the use cases against a vault or asset you already hold an opinion on. Compare the output to your own view.
4

Talk to us about scale

When you’re ready for production volume, see Pricing and contact sales for Team, Enterprise, or Custom plans.