Dashboards got cheap. Context didn't. Ask Claude "why did our AWS bill go up last week?" without Costory and you get 15 plausible answers. Ask it through Costory's MCP endpoint and you get one: the deploy, the team, the service, the baseline. That is the difference between a pipe to billing data and a context layer. Costory is the operator layer that normalizes spend across AWS, GCP, Azure, Datadog, OpenAI, and Anthropic, allocates it to teams, correlates it with deploys and incidents, and exposes it to your AI assistants and the tools your team already uses. Core capabilities: AI-generated Virtual Dimensions allocate spend to teams, products, and clients from day 1, without code changes or tag debt Event-correlated attribution links cost changes to deploys, incidents, and infrastructure events automatically MCP endpoint makes cost data queryable by Cursor, Claude, and Dust so your AI assistant becomes a FinOps expert Automated Slack digests (daily, weekly, monthly) delivered to each engineering team: what changed, why, and what to do next Unit economics, anomaly detection, 2 years of cost history, and integrations with Jira, Linear, Backstage, Datadog Pricing (flat, no percentage of cloud spend): Copilot: €250/month, up to €10M annual spend Copilot Pro: €1,000/month, up to €20M annual spend, hourly granularity, budget management, SAML and RBAC 14-day free trial. Setup in 30 minutes. No FinOps team required.