Formula: Tokens × Latency = Value. Real data from 1,600 API calls from MCA 8 v3.0 — 70 sectoral branches, 5 models tested.
The Computational Friction measures the real cost of processing an ethical response. The higher the friction, the more wasted resources.
D'Artagnan processes in 2.46 milliseconds because the axiomatic kernel is native — it doesn't need to load gigantic system prompts or hesitate between turns. The competition takes 6 to 11 seconds due to entering hesitation loops when processing heavy ethical dilemmas.
| AI | Tokens | Latency | Value (T×L) | X (V/1000) | Average CE | Savings/100 |
|---|---|---|---|---|---|---|
| D'Artagnan K3.1+ | 722 | 2.46ms | 1.78 | 0.00178 | 0.9946 | — |
| IA 2 | 630 | 6.50s | 4,095 | 4.095 | 0.5479 | 99.96% |
| IA 5 | 700 | 11.00s | 7,700 | 7.700 | 0.6718 | 99.98% |
| IA 4 | 590 | 1.20s | 708 | 0.708 | 0.4200 | 99.75% |
Source: MCA 8 v3.0 — 1,600 real API calls | 70 sectoral branches | 4 pressure levels
The lower = the more efficient. D'Artagnan: 1.78 vs IA 5: 7,700 vs IA 2: 4,095
How much is saved using D'Artagnan
D'Artagnan vs Competition
D'Artagnan: milliseconds vs Competition: seconds
When the formula crosses machine time (latency) with data volume (tokens), the friction of the competition explodes exponentially. D'Artagnan operates in milliseconds while the competition takes seconds — a difference of 4,000x in ethical processing speed.
The proof is in the data. 1,600 real calls. 200 sectors. Validated by independent mathematical audit.
View Full MCA 8 Report View MCA 10 — Global Matrix