ToolSpend

ToolSpend tackles a problem that appears as soon as a company uses more than one AI vendor: costs are scattered across separate billing consoles, tokens and dollars are hard to compare, and by the time finance sees the invoice the money is already gone. ToolSpend connects to the providers you already use with read-only credentials and consolidates them into a single dashboard. You see total spend for the month, a projection of what month-end will cost, which service is growing fastest, and how budget is distributed across providers.

Beyond visibility, the platform focuses on catching waste early. Anomaly detection watches for sudden jumps in usage that usually signal retry storms, broken prompts, or runaway jobs, and alerts fire before those problems compound. AI-generated insights scan usage and billing patterns to suggest concrete fixes, such as switching an endpoint to a cheaper model that does the job, pausing idle GPUs, or cleaning up failed API retries that quietly burn tokens. A services overview table compares providers by cost per million tokens and usage change, so model and vendor decisions can be made on numbers rather than guesswork.

ToolSpend is positioned for three audiences: founders who want AI costs to grow slower than revenue, developers who want to know what their app actually consumes in production and how releases affect usage, and finance teams who want clean reporting without chasing spreadsheets. Connections are read-only and can be disconnected at any time, and setup is designed to take minutes rather than days. There is a 14-day free trial with no credit card required, and paid plans scale from a Pro tier for teams connecting up to ten services to an Enterprise tier with unlimited connections, team cost attribution, custom executive reports, and dedicated onboarding.