ToolSpend tracks AI spend across providers in a single dashboard: total spend for the month, projected month-end cost, token usage and API calls per service, anomaly alerts on unexpected spikes, budgets, payments and an optimisation view showing which service is growing fastest.
Forecasting the month-end figure is the feature that changes behaviour. Every provider console shows what has been spent, which is information you can only act on after the fact; a projection with two weeks left is something a team can still do something about. Pairing that with spike detection – a $200 jump on a single day against one provider – catches the runaway job on the day it starts rather than on the invoice.
There is a 14-day free trial with no card required and a Product Hunt listing behind it. Pricing beyond the trial is not shown on the landing page. Spend aggregation means handing a third party read access to provider billing across your whole AI stack, forecasts extrapolate from usage that is rarely steady in the first place, and a dashboard reports overspend without reducing it – the optimisation is still a decision someone has to make.
