Cost it right, plan it, take it anywhere.
The depth behind the dashboard — how Outlay costs agentic AI usage correctly, forecasts and estimates planned work, and lets your data flow to any BI tool, warehouse, or SIEM. The attribution and governance story lives on the home page; this is everything under it.
The same usage, costed two ways.
Agentic coding re-sends a large cached prefix every turn, so cache-read tokens — billed at roughly a tenth of base input — dominate the count. Price every token at the base rate, the way most spend tools and spreadsheets do, and the number balloons. We costed our own Claude Code usage both ways.
Measured on our own build sessions:
98% of input-side tokens were cache reads, so the naive method overstates by 7.4×.
Reproduce it yourself: python -m outlay.dogfood --proof-only.
Estimate a project's AI cost before you build it.
Roadmap and sprint planning shouldn't guess at compute. Hand Outlay the planned work — epics and tickets with their requirements and design docs — and it prices each one against the cost model it learned from your own delivered work, with a confidence range you can budget against.
Illustrative. Each item priced from your own per-work-type history; thin-scope items get a wider band, not a false-precise number.
From line item to control plane.
Spend mapped to your roadmap
LLM and coding-agent spend attributed to the ticket, epic, sprint, and team it belongs to — the allocation finance has never had for AI.
Forecast by scope of work
Predict a quarter's AI cost from its open scope, then watch budget-vs-actual burn down in real time.
Guardrails — alert or enforce
Pace-based alerts (ok → warn → over) by default, read-only. Or set a program hard cap the opt-in gateway enforces — block or route-down over-budget work automatically.
Accuracy you can check
Every forecast is back-tested on your own closed tickets, leave-one-out — we show the measured error and the sample size, by work type. No vendor benchmark to take on faith.
Works with your stack
Jira, Linear, GitHub Issues; Claude Code, Cursor, the API. Reliable attribution even for remote / CI agents via explicit task-tagging.
Privacy by architecture
Attribution runs on metadata — connected with read-only tokens. Prompt content, model outputs, and your API key never leave your environment.
It's your spend data — take it anywhere.
Outlay is a hub, not a silo. Export FOCUS-aligned cost rows for any FinOps/BI tool, pull them programmatically through a read-only API, and stream your audit log to your SIEM — all reconciled to the provider invoice, to the cent. No lock-in, ever.
FOCUS-aligned export
Per-ticket charge rows using the FinOps Open Cost & Usage Spec column names — load straight into any FOCUS-aware FinOps or BI tool.
# spec column names · per-ticket rows
BilledCost,ServiceCategory,Tags{team,work_type}
BI & warehouse API
A token-authed, rate-limited endpoint returns your latest report as JSON for any warehouse or BI pipeline — the same attributed numbers as the console.
GET /api/v1/spend
→ { total_usd, rows[], data_quality }
Audit log → your SIEM
Stream every security event to Splunk, Datadog, or S3 — poll the audit API with a cursor for gap-free ingestion, or export CSV for GRC.
GET /api/v1/audit?since=cursor
Plus HMAC-signed webhooks for budget & anomaly events (retried, with a delivery log), and a printable month-end close pack — emailed automatically with the FOCUS CSV attached.
Works with every model and every tool in your stack.
Outlay reads spend from every major provider and connects it to the systems where the work actually happens — read-only, no app rewrite, no prompts leaving your environment.
- Anthropic API + admin usage
- OpenAI
- Azure OpenAI
- AWS Bedrock
- Google Vertex
- Claude Code session transcripts
- Cursor admin usage
- CI / remote agents task-tagging
- GitHub issues + PRs
- Jira
- Linear
- FOCUS CSV export
- BI / warehouse API
- SIEM audit-log export
- Webhooks
Reconciles against your provider invoice — Anthropic, AWS Cost Explorer, GCP Cloud Billing, OpenAI Costs — so finance trusts the number, not a token estimate. Become a customer →
See it on your own spend.
Connect read-only in minutes — your real AI spend mapped to work, costed correctly, forecast, and yours to export.
Read-only to start · prompts never leave your environment · no app rewrite