Trust and Method - how Stellar Scout reaches a verdict

Stellar Scout is an educational safety checker for Stellar (XLM) and multi-chain tokens. It is not financial advice, it is not a recommendation to buy, hold or sell anything, and it does not predict price or return. It answers one narrow question: what do the public on-chain records say about this asset, and which of those facts are the ones scammers usually cannot fake.

Who runs it

Stellar Scout is built and operated by DarkHorse Automations, an independent one-person automation studio. It is not affiliated with, endorsed by, or speaking for the Stellar Development Foundation, any issuer, any exchange, or any token project it scores. Nobody pays to be listed and nobody can pay to change a score.

How the verdict is computed

Every score is derived at scan time from public data. Nothing is hand-graded and nothing is stored as a permanent reputation. The signals that move a verdict are:

What a score is not

A high score is not a safety guarantee and a low score is not an accusation of fraud. A brand-new legitimate project and a fresh scam look nearly identical on-chain on day one; that is a real limit of the data, not a flaw we can engineer away. Treat the score as a checklist of questions to ask, never as permission to spend money.

What we cannot see

We read public ledger data. We cannot see who controls an account in the real world, what a team intends, off-chain agreements, custody arrangements, or anything on a private system. An issuer can pass every mechanical check and still take your money.

Data sources

Horizon (the public Stellar API), stellar.expert, and the issuer home domain and its stellar.toml, read live at scan time. Where a third-party source disagrees with the ledger, the ledger wins.

Corrections

If you issue an asset and believe a factual input is wrong - a home domain that has since been published, a key that has since been locked - re-run the scan first, because every scan is computed fresh and will pick the change up. If it is still wrong after a re-scan, tell us which specific field is wrong and we will look at it. We do not remove or raise scores on request.

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