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. Pump records 71,062 monthly visits with -7.1% growth and Free pricing.

Know exactly what your AI spend bought.
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | oberhahn.com | pump.co |
| Pricing Model | Free Trial, Paid, Contact for Pricing | Free |
| Monthly Visits | 633 (633) | 71.06K (71,062) |
| MoM Traffic Delta | -1.54K (-70.9%) | -5.47K (-7.1%) |
| Primary Market & Share | 🇵🇰 Pakistan (90.7%) | 🇺🇸 United States (33%) |
| Direct Visits / mo | 259 | 38.39K |
| 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.

Group buying that cuts your cloud and AI bills for free
Pump buys reserved capacity across its customer base and passes the rate to you, with usage-drop risk staying on Pump's side rather than yours.
Set a quality bar once and each request routes to the cheapest model that clears it, with fallback chains so requests are not dropped when a provider is unavailable.
One budget per team covers cloud and AI spend together, with Slack warnings before limits are hit and the cost driver named.
Spend is checked every hour and anything unusual is traced back to the specific resource and the person responsible.
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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