# Search Workflow

Use this workflow when the user wants you to proactively discover meme-coin / 妖币 candidates instead of analyzing a known ticker.

## Goal

Produce a shortlist with enough evidence to answer:
- what deserves attention now
- what is merely noisy
- what should be avoided

## Default search strategy

Unless the user specifies otherwise, search for **liquid speculative candidates** first and avoid ultra-microcaps.

Run search in this order:

1. **Theme scan**
   - Search current meme-coin themes by chain or narrative
   - Examples:
     - `Solana meme coins trending`
     - `Base meme coin watchlist`
     - `AI meme coin trending`
     - `new meme coin listed today`

2. **Candidate extraction**
   - Pull out repeated names that appear across multiple sources
   - Prefer coins that appear in both market-oriented and community-oriented sources

3. **Candidate verification**
   - For each candidate, search:
     - `<coin> market cap liquidity`
     - `<coin> holders tokenomics`
     - `<coin> rug risk`
     - `<coin> listed on exchange`

4. **Cross-check timing**
   - Search whether the coin is already broadly saturated:
     - `<coin> trending X`
     - `<coin> breakout volume`
     - `<coin> price surge`
   - If it is already universally discussed, consider classifying it as late rather than early

## Source preference

Prefer a mix of:
- credible exchange announcements or listing pages
- market data summaries
- crypto news aggregation
- community/trading discussion summaries

Do not rely entirely on project websites or obvious promotion pages.

## Discovery rules

### Good candidate signs during search
- name appears repeatedly across different sources
- tied to a live narrative or active chain
- discussion suggests recent acceleration, not just old fame
- accessible enough that the user can realistically trade it

### Weak candidate signs during search
- only appears in promotional pages
- only appears on tiny venues
- no independent discussion or market data context
- most results are already about an explosive move that happened days ago

## Shortlist size

Default to **3-5 candidates**.

If the search returns many names:
- keep the most repeated
- keep the ones with the clearest narrative
- remove obviously illiquid or scammy names first

## Output shape for discovery mode

For each shortlisted candidate include:
- ticker / name
- chain / venue context if known
- why it entered the shortlist
- biggest risk
- tentative bucket: candidate runner / watch-only / avoid

Then give a final rank order.

## Notes

When evidence is weak, say so. Discovery mode is for narrowing attention, not pretending certainty.