Cloud and AI cost control for engineering teams

StackSpend is built for businesses managing cloud, AI API and supported developer-tool accounts. System administrators and platform teams connect the accounts and investigate changes; engineering leaders and finance partners use the shared spend view, budgets and forecasts to plan and act. Coverage and attribution depend on the connected source.

No. StackSpend does not track remaining Claude Pro, Max or Team subscription allowances, reset times, or subscription utilisation. The Anthropic connection monitors company API billing and usage. The separate Claude connection collects configured tool telemetry and estimates API-equivalent usage cost; that estimate is not your subscription bill.

StackSpend is a cloud and AI cost management platform for engineering and finance teams. It brings connected cloud accounts, databases and supported developer tools into one reported spend view, with budgets, forecasts and anomaly investigation. Alerts depend on provider reporting and successful syncs; read-only connections do not enforce spending caps or change infrastructure. Slack and email are supported; Teams is coming soon. Available history varies by source, 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 supported connected cloud and AI providers, 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. Supported billing sources connect with read-only credentials and can import up to 90 days of history. Claude telemetry is a separate estimate collected from setup forward.

Connect each provider with a read-only API key. StackSpend reads available daily spend and billing history, and sends a Slack or email (Teams is coming soon) digest every morning. Set a budget and review anomaly alerts as available data is successfully synced. Reporting freshness and usage coverage differ by provider. OpenAI, Anthropic, Cursor, Hugging Face, and Grok (xAI) are supported today.

StackSpend connects to AWS, GCP, and Azure billing with read-only credentials and evaluates reported spend against a statistical baseline after successful syncs. AWS and GCP data can lag usage by 24–48 hours; other sources have their own delays. Use Slack, email or supported webhooks to notify an owner. Available GitHub change context can support investigation, but correlation does not prove a cause and StackSpend does not shut resources down.

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 supported billing sources can import up to 90 days where available and update on scheduled syncs. GCP history depends on the billing export; Claude telemetry starts from setup. Review permissions and the first returned period before relying on a total.

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.