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Qoory is organized around research tasks rather than one universal search-result shape. The best entry point depends on what you are trying to learn.

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Projects and products

Use project profiles and cited search answers to examine a project’s purpose, category, chains, team, funding, market links, TVL, product features, timeline, and recent news. Not every project has every field; Qoory keeps unavailable data nullable instead of filling gaps with guesses.

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Tokens and markets

Use token and market pages for price, market-cap context, movers, tokenomics, unlock windows, heatmaps, and linked projects. Market values are time-sensitive, so treat their observation time as part of the value.

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People, funds, and X accounts

Use people and fund profiles to follow roles, investments, portfolios, partners, and related news. X accounts are separate entities because an account can exist before Qoory confidently links it to a person or project.

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News and narratives

Qoory clusters related reporting into canonical stories to reduce duplicate headlines. Narratives organize a developing social conversation into a bounded summary, timeline, actors, and evidence previews. A narrative is an observed conversation, not a statement that every underlying claim is true.

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Events and funding

Explore conferences, hackathons, speakers, project participation, funding rounds, investors, and announced amounts. Dates and amounts may be unknown or conflicting; Qoory should preserve that uncertainty.

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Research answers and reports

Natural-language search can combine multiple tools and entity relationships into a cited response. Reports persist a broader research task so it can be revisited or shared. The answer quality still depends on source coverage, freshness, and the specificity of the question.

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A useful question pattern

Good questions identify the entity or market, the comparison or signal, and the time window:
When a broad question returns too much context, narrow it by entity type, chain, metric, or date range.