From connected to in control
Not just a dashboard that photographs spend after the fact. StackSpend runs the whole loop — see the spend, catch the spike, trace it to the deploy that caused it, and put the work where your engineers already are.
14-day free trial. No credit card required. Read-only access.
At a glance
StackSpend works as a closed loop. Connect cloud, AI, and GitHub source control with read-only credentials in about 5 minutes; 90 days of history backfills automatically. You get one daily Slack or email signal with totals, trends, forecasts, budget status, and anomaly flags. Microsoft Teams is coming soon. Statistical baselines detect spikes the same day they happen. On the Business plan, StackSpend traces each spike to the GitHub deploy or pull request most likely behind it, ranked by confidence for an engineer to confirm. Anomalies become tickets in Linear or Jira, assigned and synced both ways, and resolved spikes post their saving to a ledger. Read-only throughout — StackSpend never writes to your accounts.
Read-only. Nothing modified.
Paste read-only credentials for each cloud and AI provider — and, on Business, connect GitHub source control the same way. StackSpend only ever reads: billing data, and the deploys and pull requests that move it.
One signal. Everything you need to know.
Every provider — billed in different cycles, currencies, and formats — is normalised into one daily number. It arrives as a single Slack or email digest each morning (Microsoft Teams is coming soon): totals, trend, per-provider breakdown, and whether anything needs attention. No dashboard to open.
Set up Slack deliveryCatch the spike the day it happens.
StackSpend builds a statistical baseline per provider and service from your own history. When spend deviates beyond your threshold, it flags an anomaly the same day — severity-ranked, with the deviation in plain numbers — not three weeks later when the invoice lands.
Trace it to the deploy that caused it.Business
This is the step a dashboard can't do. StackSpend reads your GitHub deploys and pull requests and links the spike to the change most likely behind it — ranked by confidence from timing, the service touched, and the kind of change. The engineer who shipped it sees it first.
- The spike arrives attached to the deploy and PR behind it.
- Ranked by confidence — evidence, never asserted. You confirm the cause.
- Routed to the engineer who shipped the change, not a backlog.
The work lands where engineers already are.
The alert lands in Slack; the work lands in Linear or Jira — the contributing deploy attached — assigned to the owner and synced both ways. Cost stops being one person's tab to watch and becomes a ticket the team handles in their normal flow.
- Auto-create rules by severity and minimum daily overspend.
- Owners mapped to tracker users by email — tickets land assigned.
- Close the ticket and the anomaly resolves; status flows both ways.
Every catch, on the record.
When a ticket resolves, the anomaly closes and the saving is posted to the ledger — so cost work is visible, attributable, and defensible in the next board or budget review. The loop pays for itself, and you can prove it.
Make cost something your engineers own — not something one person watches.
Visibility is the commodity. The value is the behaviour: the spike reaches the engineer who created it, in the tools they already use, with the change that caused it attached.
Setup & how-it-works FAQ
How long does StackSpend take to set up?
About 5 minutes per provider. You paste read-only credentials, verify the connection, and StackSpend starts syncing immediately — backfilling up to 90 days of history so the dashboard is useful on day one. No agents to install and no changes to your accounts.
What access does StackSpend need — and can it change my accounts?
Read-only access only. You connect billing and (optionally) GitHub source control with read-only credentials, and StackSpend cannot create, modify, or delete anything in your provider or GitHub accounts. Credentials are encrypted with AES-256.
How does StackSpend get my cost data?
Through each provider's billing API or cost export, using the read-only credentials you connect. StackSpend syncs on a daily schedule — no manual CSV exports — and normalises every provider into one model so cloud, AI, and SaaS spend is directly comparable.
How far back does my cost history load?
Up to 90 days, automatically, the moment you connect a provider. That gives StackSpend enough history to build anomaly baselines and trend lines straight away, instead of waiting weeks for data to accumulate.
Do I have to tag or categorise costs manually?
No. StackSpend derives the mapping from provider and service names to categories (Cloud, AI, SaaS) and to teams or features automatically. You can review and override any mapping, but you never start from a blank spreadsheet.
How are alerts and daily reports delivered?
Daily reports and anomaly alerts are delivered via Slack or email (Microsoft Teams is coming soon). Anomalies can also open tickets in Linear or Jira, page your on-call rotation through PagerDuty, incident.io or Better Stack on the Business plan, and fire webhooks to your own endpoint.
Where is my data stored, and can I delete it?
Every tenant is isolated with row-level security and all changes are audit-logged. Data is encrypted in transit and at rest with AES-256, and GDPR export and deletion are self-service — you can remove your data at any time.