Setup a Slack report per squad in less than 30 minutes
No credit card required
Costory
APP
10:49 AM
👋 Hey Platform team — your January Cost Digest is ready.
Total: $531K → $589K (+$57K · +10.8%)
CloudFront +$8.2K — 52% more CDN requests
Claude Opus +$3.8K — summarization pipeline scaled up on the 21th
Databricks +$12.4K — Expected as part of client Acme new setup
Anthropic API +$8.2K — 3 agentic workflows launched
Open full digest →
👀 4
👍 6
🔥 3
Trusted by Engineering & finance teams of
The risk isn't spending too much on AI. It's not knowing where it goes.
Without Costory
Anthropic, OpenAI, Cursor, Gemini all billed separately
No idea which team or use case is driving LLM cost
Using Opus for tasks a Haiku could handle
Surprise invoice at month end
Finance asks "how much are we spending on AI?"
Agents act without cost context
From raw billing data to executive-ready reports, automatically
Four steps. Fully automated. No dashboards to maintain.
1
Connect all your LLM & cloud spend in one place
Link your AWS, GCP, Azure, Anthropic, Cursor, and other provider accounts. Costory pulls billing data automatically and normalizes it into a single schema. No more switching between consoles or copy-pasting into spreadsheets.
Native integrations
AWS, GCP, Azure, Anthropic, Datadog, OpenAI, MongoDB, Cursor and more
Unified schema
Inconsistent billing formats across providers become one clean view
Events and context
GitHub deploys, Jira tickets, and CI/CD events linked to your cost data
2
Split costs into categories that make sense
Map raw line items to your business structure. Which squad is burning budget on GPT-4o? Which microservice is hammering Claude?
Tag normalization
Map any combination of existing tags to a consistent structure. No infrastructure changes.
Business-level groupings
ap costs by team, product, feature — or go deeper with per-model breakdowns.
Usage-based cost splitting
Allocate shared resources based on actual consumption
3
Trace every cost change to its cause
The Digest breaks your monthly spend into a tree structure and highlights the items that moved the most.
Root cause analysis
Connects cost movements to deploys, incidents, and usage patterns
Two-level output
Detailed breakdown for engineers, executive summary for leadership
Ask Billy in Slack or via MCP
"Why did spend go up?" Get an answer in seconds, no dashboard needed
4
Make your AI stack cost-aware
Access your cost data however your team works. And your agents can now ask "what's the cheapest model for this task?" or "am I within budget?" before they act.
Automated Slack reports
Per team, weekly or monthly
Pre-built templates
Inconsistent billing formats across providers become one clean view within Costory
Query via MCP
Connect any MCP-compatible agent to Costory's cost layer.
No credit card required • Setup in 10 minutes
Testimonials
Already ahead of their AI costs
These engineering teams got their time back with Costory.
Keep doing it manually
Tedious, repetitive spreadsheet work that your SRE didn't sign up for
Half a day to a full week every month, and it repeats forever
€1,000/day for senior engineering time = up to €60,000/year
Build an in-house solution
You need a data warehouse, ETL pipelines, dashboards, and algorithms
Competes with your real roadmap, never gets prioritized, stays half-built
Months of engineering effort upfront, plus ongoing maintenance
Weeks of onboarding and configuration
Built for full-time FinOps teams of 5-10 people
€50K to €500K/year, often a percentage of your cloud spend
No credit card required • Setup in 10 minutes
Most popular
Team
€250
Per month
No percentage of your cloud spend. No per-seat fees. Built for the engineer who does FinOps on the side, not the team that does it full-time.
All core benefits in one unified platform
Daily or hourly cost analysis
Slack & email digests
AI-powered explanations
Unlimited users included
AWS, GCP & Azure support
Integrations