DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
Built for the agentic stack
Cost data, anomaly triage, commitment planning, and recommendations are reachable from any agent, script, or terminal. Same platform, same FDEs, no UI required.
Your agent answers spend questions in the channel where they were asked.
Variance, drivers, and forecasts drafted before the meeting starts.
Agents rank by impact and risk. Shipped as pull requests.
Burn rate, forecast, and headroom returned by one function call.
Anomaly state checked at deploy time. Regressions caught before they ship.
REST, MCP, and CLI share the same data and permissions.
Headless FinOps
Pipe it, script it, schedule it. The full platform engine in your terminal.
Headless FinOps
Native Model Context Protocol support. Connect Claude, Cursor, ChatGPT, or internal agents and query spend in natural language.
Headless FinOps
Versioned, documented endpoints for cost analytics, allocations, budgets, anomalies, commitments.
Headless FinOps
Query cloud cost data, explore recommendations, investigate anomalies, and take action on Cloud Intelligence™ account directly from ChatGPT. Natural language in, answers and actions out. No context switching.
Three surfaces, one platform
Every object in Cloud Intelligence is reachable through the surface that fits your stack.
Versioned, documented endpoints for cost analytics, allocations, budgets, anomalies, commitments, and FDE tickets.
Native Model Context Protocol support. Connect Claude, Cursor, ChatGPT, or internal agents and query spend in natural language.
Pipe it, script it, schedule it. The full platform engine in your terminal.
Push anomalies, budget breaches, and recommendations into Slack, PagerDuty, Jira, or Linear in real time.
Programmatic access to Kubernetes, BigQuery, Snowflake, Databricks, and GenAI optimization modules.
Open Forward Deployed Engineer requests programmatically. Fixes land as PRs, not as Slack threads.
Service accounts, scoped tokens, and SSO. Same permissions across every surface.
Every API, MCP, and CLI call logged and queryable. Compliance without a separate tool.
Works natively with your cloud providers, data platforms, DevOps and SecOps tooling. Custom integrations are available on request.
Exploreof platform features available headless
typical integration time for a first agent workflow
dashboards required
DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.
Eli Zilbershtein, Head of DevOps, Hippo
You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.
Omri Cohen, Director of Engineering, Platform
Headless access doesn't mean loose access. Every call is authenticated, scoped, and logged.
AICPA
SOC 2/3
AICPA
GDPR
AICPA
ISO 27001
Let your agents do it instead.
No. Every object in Cloud Intelligence is reachable through REST, MCP, or the doit CLI. The UI is optional, not the source of truth.
Anything that speaks Model Context Protocol. Claude, Cursor, ChatGPT, and internal agents connect once and query spend in natural language.
Service accounts, scoped tokens, and SSO share the same permissions across REST, MCP, CLI, and webhooks. One identity model, every surface.
Yes. Check anomaly state at deploy time and block or warn before a regression ships. Most teams wire it up in an afternoon.
Typical first agent workflow ships in under a day. FDEs help with the harder ones and land fixes as PRs.