Cloud and AI cost control for engineering teams

StackSpend is a cost management platform for the modern AI engineering stack, used by engineering and finance teams. It connects to OpenAI, Anthropic, Cursor, AWS, Snowflake, and other AI and cloud billing sources with read-only credentials, then gives you one view of spend, same-day anomaly alerts, budgets, and month-end forecasts — delivered to Slack or email (Microsoft Teams is coming soon). Setup takes about 5 minutes per provider, 90 days of history loads automatically, and plans start from $79/month with a 14-day free trial.

StackSpend is an AI Spend Intelligence platform. AI Spend Intelligence is the category of cost tooling that goes beyond dashboards: it normalises spend across every cloud and AI provider, then applies analysis and automation — anomaly detection, forecasting, attribution, a conversational cost analyst (the Cost Intelligence Agent), and LLM model recommendations — so teams get answers and actions, not just charts. Where a monitoring dashboard shows you the numbers, StackSpend explains the variance with cited figures and surfaces it where your team already works.

Track them in a single platform that covers both, instead of stitching a cloud-only cost tool together with each AI vendor's separate dashboard. StackSpend unifies cloud (AWS, GCP, Azure), data (Snowflake, ClickHouse Cloud, Elastic Cloud) and AI/LLM spend (OpenAI, Anthropic, Cursor, Hugging Face, Grok) in one view, with cross-provider anomaly detection, budgets and forecasts. It connects with read-only keys in about 5 minutes and backfills 90 days, so you see the full cost of running your product on day one.

Connect each provider with a read-only API key. StackSpend pulls daily spend, loads 90 days of history, and sends a Slack or email (Teams is coming soon) digest every morning. Set a budget and StackSpend alerts you the same day when LLM spend spikes above its baseline — so a runaway prompt or traffic surge does not first surface on next month's invoice. OpenAI, Anthropic, Cursor, Hugging Face, and Grok (xAI) are supported today.

StackSpend connects to AWS, GCP, and Azure billing with read-only credentials, builds a statistical baseline per service, and flags spikes the same day — by Slack, email, or webhook (Teams is coming soon), before the invoice lands. Each alert carries a severity and a deviation percentage, and on the Business plan it is correlated to the GitHub deploy or pull request most likely behind it.

AI COGS (cost of goods sold) is the inference cost embedded in your product — the OpenAI, Anthropic, or Bedrock spend behind each feature or customer interaction. StackSpend lets you tag costs by feature, team, or customer, so you can see gross margin per product line and watch how AI inference moves your unit economics as you scale.

StackSpend supports billing sources including AWS, GCP, GitHub, Azure, Snowflake, Vercel, ClickHouse Cloud, Elastic Cloud, Databricks, OpenAI, Anthropic, Fireworks AI, Baseten, Cursor, Hugging Face, Grok (xAI), Twilio, plus custom cost sources. Billing sources connect via read-only credentials or exports; Claude Code usage telemetry is available separately. GitHub source control (deploys and pull requests) connects on the Business plan.

Plans start from $79/month, with a free 14-day trial and no credit card required. The trial doubles as a free cost health audit of your stack — connect your providers and get full visibility before committing to a paid plan. Visit the pricing page for full plan details.

About 5 minutes per provider. You connect read-only credentials, verify the connection, and StackSpend backfills up to 90 days of history automatically and updates daily — no manual exports, and no changes to your accounts.

StackSpend recommends cheaper models that match or beat the ones you already use on published quality benchmarks — coding, reasoning, and math — priced at your real token mix rather than headline rates. Each recommendation shows the projected monthly saving, can be scoped to approved providers, and carries a dismiss or mark-implemented lifecycle. The AI Explorer shows the usage behind every recommendation, by model, project, and user.

Yes. StackSpend includes a Cost Intelligence Agent — an in-app AI cost analyst. Ask in plain English ("what drove our bill up this week?", "are we on track against budget?", "draft a board summary") and it answers in seconds with cited figures across every connected provider, and can take confirmed actions like acknowledging an anomaly or creating a budget. It is the FinOps analyst smaller teams do not have to hire.

Yes. Most providers bill in USD, but StackSpend converts spend at historical exchange rates and reports in your organisation's preferred currency — USD, GBP, EUR, and more — and maps provider line items to P&L buckets (Cloud, AI, SaaS). Finance gets a number it can defend in planning instead of raw service names.

Yes. Anomalies and budget reviews are delivered to Slack or email (Microsoft Teams is coming soon), and become tickets in Linear or Jira — assigned to the owning engineer and synced both ways, so closing the ticket resolves the anomaly. Cost work happens where your team already works, not in a separate dashboard one person has to watch.