Periodicity Detector
Ki · Reasoning
The Problem
The default behavior: Assuming the stock price fluctuations are random, we overlook the cycle break and frequency drift in recent data.
The Operation
This cognitive operation forces the model to scan the event timeline and extract inter-event intervals, looking for repeating patterns at regular spacing. Compute candidate periods by measuring gaps between similar events and check for consistency. Classify periodicity confidence: strong if the pattern holds across 3+ cycles, weak if fewer. Do not assume periodicity from fewer than two full cycles. If strong periodicity is confirmed, simulate the next occurrence and flag deviations. The reasoning applies a formal computation: period = mean(t event[i+1] - t event[i]).
The Structure
The reasoning structure is an iterative convergence loop that cycles until the reasoning stabilizes on a consistent answer. The process iterates until convergence, where additional passes add nothing new.
If regularity is assumed from fewer than three repetitions without testing whether the pattern holds under variation, periodicity validation was not enforced.
Haki · Reasoning-Multi
Cross-Domain Suppression
In Haki mode, the API retrieves the primary ability first, then fans out to three synergy roles that compound its reasoning.
When retrieved in Haki mode, the primary ability is augmented with failure guards extracted from 3 abilities in different cognitive domains. Each guard blocks a specific reasoning failure the primary alone wouldn't catch. A self-check forces verification before output. The result is cross-domain coverage that no single ability can reach alone.