Platform intelligence
Cross-organisation performance, spend, and AI usage across the entire platform.
Total spend
$4,821.64
11.8%vs previous 30 days
API requests
98.4K
16.4%4 active organisations
Tokens processed
98.9M
9.2%76.1M in · 22.8M out
Success rate
99.73%
1,184ms avg latency
Platform spend
Daily cost across every organisation
Token flow
Input and output token volume by day
Endpoint economics
Cost contribution by API endpoint
Model mix
Provider model share by spend
google/gemini-3.1-pro$2,602.00
openai/gpt-5-mini$1,420.00
anthropic/claude-sonnet$800.00
Comparative intelligence
Organisation comparisons
Benchmark spend, efficiency, demand, token shape, and reliability across every active organisation.
Highest spend
Northstar Apps
$1,824.42 · 37.8% of platform
Best cost efficiency
Meridian Cloud
$46.37 per 1K requests
Best reliability
Harbor Labs
99.86% success · 21 failures
Fastest responses
Harbor Labs
891ms average latency
Spend ranking
Total 30-day spend by organisation
Cost efficiency
Lower cost per 1,000 requests is better
Demand versus spend
Bubble size represents input-token volume
Token composition
Input and output token mix by organisation
Reliability versus latency
Success rate bars paired with response-time trend
Spend trajectory
Daily spend for the five largest organisations
Endpoint mix
Where each organisation incurs API spend
Model concentration
Provider and model spend by organisation
Organisation benchmark
Precise totals and unit economics for the current period
| Organisation | Spend | Requests | Cost / 1K | Cost / 1M tokens | Tokens / request | Success | Latency | Share |
|---|---|---|---|---|---|---|---|---|
| Northstar Apps | $1,824.42 | 34,891 | $52.29 | $50.26 | 1,040 | 99.82% | 1040ms | 37.8% |
| Atlas Systems | $1,306.18 | 27,402 | $47.67 | $45.83 | 1,040 | 99.71% | 1290ms | 27.1% |
| Meridian Cloud | $978.66 | 21,104 | $46.37 | $44.28 | 1,047 | 99.61% | 1418ms | 20.3% |
| Harbor Labs | $712.38 | 15,026 | $47.41 | $59.36 | 799 | 99.86% | 891ms | 14.8% |