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CostHawk
One view of AI adoption, cost and impact across your team's models and coding tools
0Visit CostHawk
https://costhawk.ai
About CostHawk
CostHawk answers the question every engineering leader now gets asked and cannot evidence: you are paying for AI, is it paying off? It pulls adoption, cost and impact for a team's AI tooling into one view rather than leaving them scattered across an OpenAI dashboard, an Anthropic invoice, a Cursor admin page and a spreadsheet someone maintains by hand. It syncs Claude Code, Codex and Cursor directly and covers OpenAI, Claude, Gemini, xAI, Mistral, DeepSeek, AWS Bedrock and Azure OpenAI on the model side, then reports adoption rate, active engineers and average sessions alongside spend — so the conversation with a CFO is about a measured 87% adoption across 34 of 39 engineers rather than an anecdote. There is a desktop MCP connector, so the data is queryable from an assistant rather than only through the dashboard, and organisation-level reporting with a team roster and project membership on the Team tier. Pricing is $19/month for an individual and $99/month for a team of 2–100, both with a 30-day free trial; a card is required at signup, which the vendor explains as abuse control with no charge until day 31 and cancellation available at any point during the trial. Enterprise covers 101+ people with custom integrations, SSO/SCIM and an SLA. The category is young and CostHawk is on the small side of it.
Key Features
CostHawk Pros & Cons
✅ Pros
- +Adoption metrics alongside spend is the pairing leaders actually need
- +Broad provider coverage means one dashboard instead of eight
- +30-day trial is long enough to see a real usage cycle
⚠️ Cons
- −Card required at signup even for the trial
- −$99/month flat to 100 people is cheap for large teams and pricey for a team of three
- −Impact measurement is inherently softer than the cost numbers
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