decision scientist maintained agents
monitor perception, fit, pressure, behavior
governed market data becomes a scored, defensible next move
monitor perception, fit, pressure, behavior
define question, sources, threshold, path
refresh sources, scoring, review
the perception baseline for every defended market move
agents know which signals deserve weight before they recommend action
confidence rises when perception strength and evidence quality agree
use urgency to separate market pressure from background signal
momentum points agents toward the segment already changing behavior
message fit protects teams from pushing copy the audience will not believe
outcome impact keeps analysis tied to business movement
interact routes scored intelligence to customer-facing teams
quick answers about the Analyze scoring layer
analyze turns governed market data into a scored, defensible next move using AI agents, the Heptascore framework, source-reliability scoring, and decision-scientist support
Heptascore is heptaloop's signal-scoring framework. it rates signals for reliability, urgency, and confidence so teams act on what matters most
it scores every signal across the data families Acquire provides, weights reliability and urgency, and recommends the next best action together with the evidence behind it
no. it augments decision scientists and analysts with agentic, predictive modeling so they move faster while keeping human judgment in the loop