Stackspend – Spend management for AI startups
Fills a real gap for AI startups drowning in multi-vendor bills, but spend management is a solved category.

Agent cost controls before spending — MCP integration with Claude and Cursor.
Engineering teams managing cloud and AI infrastructure costs
CloudZero · Vantage · Kubecost
Fills a real gap for AI startups drowning in multi-vendor bills, but spend management is a solved category.
The read-only correlation of request → model → token → $ is smart — you get a shot at answering 'why did our bill spike?' without routing traffic through a proxy. It also claims workflow-level analysis (long prompts, retries, agent loops) and concrete recommendations like model routing and context trimming; useful, but the pitch leaves open how reliable the heuristics and team-attribution are across providers.
It scans AWS for idle EC2/EBS/S3 artifacts and compares your month-to-date spend to the same window last month so you can spot anomalies fast. Rich terminal tables + structured JSON output and MFA-role support make it easy to drop into CI/CD or FinOps workflows, but the feature set overlaps heavily with existing tools like Cloud Custodian and Trusted Advisor.
Daily hard limits with auto-stop prevent overnight bill shock from runaway agents.
Provider-enforced caps mean rogue agents literally cannot exceed your budget.
Finally a single tab to check H100 prices instead of opening ten provider dashboards.