Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams
Oberhahn records 633 monthly visits with -70.9% month-over-month growth and Free Trial, Paid, Contact for Pricing pricing. ToolSpend records 0 monthly visits with 0% growth and Free Trial, Paid pricing.

See and control your AI spend across every provider from one dashboard
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | oberhahn.com | toolspend.com |
| Pricing Model | Free Trial, Paid, Contact for Pricing | Free Trial, Paid |
| Monthly Visits | 633 (633) | 0 (0) |
| MoM Traffic Delta | -1.54K (-70.9%) | 0 (0%) |
| Primary Market & Share | 🇵🇰 Pakistan (90.7%) | 🌐 Global (—) |
| Direct Visits / mo | 259 | 0 |
| User Rating | 4.2 | 4.4 |
| Supported Platforms | Website | Website |

Know exactly what your AI spend bought.
Connect coding assistants, agents, trackers and orchestration layers once, then watch every usage event flow into a single normalized ledger with no manual reconciliation.
See projected month-end spend, cost per session, spend per user, context-window use and an efficiency score, broken out by the source driving each dollar.
Every session links to real Linear, Jira or GitHub issues, so you can read cost per estimate point and see what shipped versus what sank.
Oberhahn flags oversized models, cache misses, runaway sessions and duplicate workflows, each ranked by the spend it affects so you know what to investigate first.

See and control your AI spend across every provider from one dashboard
Track token usage and spend across OpenAI, Google AI, Azure, Bedrock, and other services in one view, so you can see which provider is driving costs.
Project your bill based on current usage patterns so budgets stay under control and end-of-month surprises are avoided.
Get notified when usage jumps, catching retries, broken prompts, or runaway jobs before they compound into large bills.
Recommendations generated from usage and billing signals suggest cheaper model substitutions, idle GPU shutdowns, and retry or error fixes.
Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams

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