Pay for what you use
Example
A context-backedpredict counts only the rows to score as input because the fitted context
is already stored. Input and output row counts are therefore equal. On 200 000 training rows
and 50 000 rows to score:
Plans
Allowances are organization-wide: every key, member and job kind draws on the same counters.
Free applies its input and output allowances independently. Paid plans pool both counters.
Plans are not self-serve. A Hollerith administrator provisions changes (see
Request higher limits). An owner of a Free organization can add a
payment method, enable paid overage and set a monthly dollar ceiling.
Overage and credits
Spend order is fixed: included allowance first, then organization-level dollar credits, then paid overage. Overage is off by default. With overage off, jobs stop as soon as the plan’s input or output cap or the daily quota is exhausted, whichever comes first, not when the billed pooled total in the table above is crossed. Enabling overage and setting a monthly dollar ceiling lets jobs continue past the included allowance, drawing on credits first and then paid overage up to that ceiling.Daily quota
The daily quota counts input rows only. Output rows bill but do not draw on it. A
context-backed predict of 50 000 rows spends 50 000 of quota and bills 100 000.
Quota is reserved when a job is submitted and released when it completes, so a burst of
submits can hit
quota_exceeded before any of them runs.
Request higher limits
If you need higher usage than your plan includes, email founders@monarcha.ai with the volumes you have in mind.Next steps
Limits
Learn about the constraints Hollerith is optimized for
Data handling and retention
What we keep, and for how long