select
snapshot_date, week_number, listeners, playcount,
listener_delta, listener_pct_change, listeners_indexed
from api_artist_timeseries
where artist_id = $1
order by snapshot_date ascIndexed to 100 at each series' first observation.
with peers as (
select similar_artist_id as artist_id
from api_artist_similar
where artist_id = $1
),
peer_agg as (
select
ts.snapshot_date,
count(*) as artist_count,
percentile_cont(0.25) within group (order by ts.listeners_indexed) as p25_indexed,
percentile_cont(0.5) within group (order by ts.listeners_indexed) as median_indexed,
percentile_cont(0.75) within group (order by ts.listeners_indexed) as p75_indexed
from api_artist_timeseries ts
join peers p on p.artist_id = ts.artist_id
group by ts.snapshot_date
)
select ts.*, pa.artist_count, pa.p25_indexed, pa.median_indexed, pa.p75_indexed
from api_artist_timeseries ts
left join peer_agg pa on pa.snapshot_date = ts.snapshot_date
where ts.artist_id = $1
order by ts.snapshot_date asc| Artist | Listeners | 13-week growth |
|---|---|---|
| SICK LEGEND | 282k | +3.39% |
| Always Mirin | 136k | +4.03% |
| Baki | 142k | +6.20% |
| Kratos | 105k | — |
| Anguish | 217k | +5.86% |
| AGONY | 68k | +10.83% |
| Overrated | 115k | +5.85% |
| Asentrix | 150k | +10.07% |
| hornja | 88k | +9.50% |
select
similar_artist_id, slug, display_name, size_band,
latest_listeners, total_pct_growth, weeks_tracked, similarity_score, rank
from api_artist_similar
where artist_id = $1
order by rank ascselect *
from api_artist_profile
where artist_id = $1