`clerk.users.count` with arguments can be very slow for large number of users

[henryharbeck]

Repro

import time
import clerk_backend_api
from clerk_backend_api import Clerk

print(clerk_backend_api.__version__) # 3.1.11 (latest)

clerk_api_key = "xxxxx"
clerk = Clerk(bearer_auth=clerk_api_key)

start_all = time.perf_counter()
all_users = clerk.users.count().total_count
end_all = time.perf_counter()

print(f"{all_users = } (took {end_all - start_all:.3f} seconds)")
# all_users = 926354 (took 0.342 seconds)

created_before_ms = int(time.time() * 1000)

start_before = time.perf_counter()
users_before_ts = clerk.users.count(created_at_before=created_before_ms).total_count
end_before = time.perf_counter()

print(f"{users_before_ts = } (took {end_before - start_before:.3f} seconds)")
# users_before_ts = 926354 (took 436.951 seconds)

As you can see, adding a predicate to users.count changes the response time from sub 1 second to ~7 minutes.

I appreciate the "COUNT *" fast path, but 7 minutes feels very long in the other case.
Is it possible that performance can be improved here at all?