Coin categories
The sector taxonomy — Smart Contract Platform, Layer 1, PoW and 700-odd more — each with a market-cap aggregate where one has been computed.
Read the limits below before building on the aggregates: roughly half the categories carry one, and coin_count is never populated on any record.
What's in a record
Every field the corpus returns for one record. Real shape — walked corpus-wide, not sampled.
- id
- slug
- name
- market_cap
- market_cap_change_24h
- volume_24h
- coin_count
- updated_at
Get it
A curl that runs against the live API right now, plus the MCP tool names for the same data.
MCP tools
get_coin_categoriesget_coin_categories_detailWhat it's for
Three concrete questions this capability answers that a general crypto API does not.
- Sector rotation at a glance: the largest categories by market cap are Smart Contract Platform ($2.29T), Layer 1 ($2.26T) and Proof of Work ($1.63T), each with
market_cap_change_24halongside. - A sector filter for the rest of the API:
slughere is a tag slug elsewhere, so a category name resolves into news, governance and price queries without a mapping table. - Naming a narrative without inventing one: the taxonomy is the industry's own sector vocabulary rather than a set of labels this API made up.
Known limits
Required, not optional. Coverage gaps, staleness and parameter traps that were observed by running the curl above against the live server on 2026-09-18.
coin_count is 0 on every record.
Walked all 750 categories on 20 Sep 2026: not one carries a non-zero coin_count. The field is present and always empty, so "how many coins are in this sector" cannot be answered here — count them from /market/coins/ by tag instead.
Only about half carry an aggregate.
368 of 750 have market_cap, 370 have volume_24h, 365 have market_cap_change_24h. A sector leaderboard built without a null check silently ranks the 49% that happen to be computed and drops the rest — which is not the same as those sectors being small.
updated_at can be weeks behind.
The sample above was computed on 1 Sep and read on 20 Sep. These are periodic aggregates, not live figures; quote them with their date.
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