THE CRUNCH
Anthropic has launched a suite of reporting tools that give enterprise customers a more granular view of what they get from their token spend, the company announced on Wednesday. Using internal analytics and employee surveys, managers can see a team's work over a chosen date range, what it produced, how much it cost and where workflows broke down. The reports also offer recommendations for improving results, and Anthropic says it will not use this data for model training by default.
The move is a clear attempt to demonstrate the return on investment of Anthropic's tools, a major concern among large customers. The company is also introducing pooled group budgets so teams can manage token spending together. The announcement comes alongside strong financials: Anthropic recorded an operating profit in the second quarter and reports 900% net revenue retention, meaning spending from the same customers in Q3 2025 grew nine times by Q3 2026.
Context from Jellyfish, a company that makes tools for software developers, underlines why this matters. Its report, based on agentic coding tool use by 276,000 customers, found Claude Code and other tools built on Anthropic models account for nearly a third of proposed code changes submitted for review, with spending on such tools up 10x since the start of the year and now equal to about 2% of total engineering cost. "Even if you're saying 2% is still small, that 10x growth is growth that most CFOs didn't plan for," Jellyfish chief scientist Nicholas Arcolano told TechCrunch.
Jellyfish's AI product lead Nikolas Albarran suggested the new reports act as a lighter version of forward-deployed engineering, the embedded consultant teams that AI labs use to help enterprise customers get started. He argued that once companies have standardised workflows around a tool, switching costs keep them in place, even as rivals such as OpenAI's latest Astra model have gained ground in usage data without slowing Anthropic's adoption.