QooryBeta
Research method

Methodology

This is how Qoory turns messy crypto data into cited answers, learn guides, and insight pages without pretending the chain has a neat little filing cabinet.

Last reviewed: July 16, 2026
01

Source collection

We prefer primary or close-to-primary sources: official docs, public filings, protocol data, market-data providers, on-chain records, reputable news, and directly linked social evidence.

02

Fact resolution

When sources disagree, Qoory should preserve the disagreement instead of flattening it into fake certainty.

  • Primary or official sources win for project mechanics and policy.
  • Conflicting numbers are labelled or excluded until the source trail is clear.
  • If a claim cannot be supported, the system should say less, not hallucinate harder.
03

AI safeguards

AI helps draft and summarize, but publication depends on deterministic gates: answer-first structure, source coverage, product-claim validation, anti-slop passes, QA scores, and publication-readiness events.

04

Freshness

Market and Web3 facts decay quickly, so pages carry source context, data timestamps, revision history, and refresh queues where the template supports them.

Spot something off?

Send the claim, page URL, and the source you believe is more accurate to privacy@email.qoory.ai. We would rather fix a bad fact than let it cosplay as research.

privacy@email.qoory.ai
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