Crypto Category Screener — 738 CoinGecko Sector Trends avatar

Crypto Category Screener — 738 CoinGecko Sector Trends

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Pay per usage

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Crypto Category Screener — 738 CoinGecko Sector Trends

Crypto Category Screener — 738 CoinGecko Sector Trends

Screens all 738 CoinGecko categories by market cap and 24h performance. Find trending narratives, best/worst sectors, emerging categories. No API key. $0.005/run.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Hojun Lee

Hojun Lee

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

4 days ago

Last modified

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What does Crypto Category Screener do?

The Crypto Category Screener actor scans all 738 CoinGecko token categories — from Layer 1s and DeFi protocols to AI tokens, meme coins, RWA, and GameFi — and ranks them by market cap and 24-hour performance in a single run. This token sector analysis tool gives traders and analysts an instant snapshot of where capital is rotating across the entire market without manually browsing dozens of CoinGecko pages. Running on Apify's cloud infrastructure, it requires no API key, no proxy, and costs just $0.005 flat per run — making automated sector monitoring viable at any scale.

Why use Crypto Category Screener?

Business use cases for the leading crypto category screener:

  1. Sector rotation traders — Identify which categories are gaining or losing market cap fastest in any 24-hour window. Rotate into DeFi, NFT category, or AI token sectors before momentum peaks rather than after.
  2. Narrative and theme funds — Track emerging micro-narratives (e.g., "Restaking," "SocialFi," "BTCFi") as they grow from small categories into billion-dollar sectors. Token sector analysis at 738-category breadth is impossible to do manually.
  3. Portfolio risk management — Measure sector concentration and spot over-correlated exposure. If your portfolio is 80% L1 tokens and L1s are the worst-performing category today, this actor surfaces that risk immediately.
  4. Crypto research platforms — Embed live sector performance into subscriber-facing dashboards or automated daily briefings. Schedule the actor and pipe results into your API layer.
  5. Quant screening pipelines — Use top-gaining categories as a coarse filter before running deeper per-coin screeners. Narrow 10,000+ tokens down to the 50 most relevant candidates in two steps.

How to use Crypto Category Screener

  1. Click Try for free on the Apify Store listing to open the actor.
  2. Set topN (default: 30) to control how many top categories appear in each ranked list.
  3. Set minMarketCapUsd (default: $1,000,000) to filter out micro-categories with negligible liquidity.
  4. Click Start — results are ready within seconds.
  5. Use the top_gainer_category and top_loser_category records to identify DeFi NFT category filter opportunities in the current session.
  6. Schedule the actor daily (or more frequently) via Apify Schedules to track sector rotation over time.

Input

ParameterTypeDefaultDescription
topNinteger30Number of top categories per ranked list (5–100)
minMarketCapUsdinteger1,000,000Minimum category market cap in USD to include

Output

Each run produces four record types in the dataset:

[
{
"_type": "summary",
"total_categories": 738,
"filtered_categories": 412,
"aggregate_market_cap_usd": 2314000000000,
"aggregate_volume_24h_usd": 98700000000,
"generated_at": "2026-09-02T10:00:00+00:00"
},
{
"_type": "top_by_market_cap",
"rank": 1,
"category_id": "layer-1",
"category_name": "Layer 1 (L1)",
"market_cap_usd": 1240000000000,
"volume_24h_usd": 51000000000,
"market_cap_change_24h_pct": -1.4,
"top_3_coins": ["bitcoin", "ethereum", "solana"]
},
{
"_type": "top_gainer_category",
"rank": 1,
"category_id": "artificial-intelligence",
"category_name": "Artificial Intelligence",
"market_cap_usd": 38000000000,
"market_cap_change_24h_pct": 8.7,
"top_3_coins": ["worldcoin", "fetch-ai", "singularitynet"]
},
{
"_type": "top_loser_category",
"rank": 1,
"category_id": "nft",
"category_name": "NFT",
"market_cap_usd": 12000000000,
"market_cap_change_24h_pct": -5.2,
"top_3_coins": ["apecoin", "blur", "sand"]
}
]

Data fields

FieldTypeDescription
_typestringRecord type: summary, top_by_market_cap, top_gainer_category, top_loser_category
category_idstringCoinGecko internal category identifier
category_namestringHuman-readable sector name (e.g., "DeFi", "Layer 1", "AI Tokens")
market_cap_usdnumberTotal market capitalization of all coins in the category
volume_24h_usdnumberAggregate 24-hour trading volume
market_cap_change_24h_pctnumber24-hour percentage change in category market cap
top_3_coinsarrayCoinGecko IDs of the three largest coins in the category
rankintegerPosition within the ranked list

Cost estimation

Pay-Per-Event pricing — flat $0.005 per run.

ScheduleDaily CostMonthly Cost
Once per day$0.005$0.15
Every 4 hours$0.03$0.90
Every hour$0.12$3.60

At $0.005 per run, you can screen all 738 CoinGecko categories hourly for an entire month for under $4 — less than a single premium API call from most institutional data providers.

FAQ

How many categories does CoinGecko actually have? CoinGecko currently tracks over 738 token categories. This actor fetches all of them and applies your topN and minMarketCapUsd filters to surface the most relevant results. The total count varies slightly as CoinGecko adds or retires categories over time.

Does this actor require a CoinGecko API key? No. The actor uses CoinGecko's free public category endpoint. No API key, no rate limit bypass, and no proxy are required. For very high-frequency use (multiple runs per minute), consider adding delays between runs to stay within fair-use limits.

Can I use this to track a specific sector like DeFi or AI tokens over time? Yes. Schedule the actor daily and filter the output records for your target category_id values (e.g., decentralized-finance-defi, artificial-intelligence). Plot market_cap_change_24h_pct over time to build a token sector analysis trend chart for any category.


Disclaimer: This actor aggregates publicly available data from CoinGecko for informational purposes only. Market cap and performance data are point-in-time snapshots and should not be used as the sole basis for trading decisions. This is not financial advice.


Feedback

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