> ## Documentation Index
> Fetch the complete documentation index at: https://docs.qoory.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# What you can research

> A practical map of Qoory's supported research workflows.

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.

## 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.

## 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.

## 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.

## 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.

## 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.

## 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.

## A useful question pattern

Good questions identify the entity or market, the comparison or signal, and the
time window:

```text theme={null}
Compare Uniswap and Aerodrome by current TVL, recent funding, and notable
product changes in the last 90 days.
```

When a broad question returns too much context, narrow it by entity type, chain,
metric, or date range.