Intent Signal Aggregator
Normalizes all intent signals into a weighted intent vector and composite score per account.
What it is
Multiple signals pointing in the same direction mean something. This agent is the normalization engine that converts every signal from the intent layer into a single weighted intent vector per account, accounting for recency, signal type, and corroboration.
How it works
All structured signal outputs are ingested. Each signal type is assigned a base weight derived from historical correlation with closed deals. Recency decay is applied so older signals contribute less. When multiple signal types align on the same account, a corroboration multiplier amplifies the composite score. Output is a normalized 0 to 100 intent score with a signal breakdown table per account.
How it fits into the pipeline
Bridge between the intent layer and the prioritization layer. Its composite intent score is the primary input to the Predictive Account Scoring model. Also consumed by the Delta Scorer to track how an account's intent vector has shifted since the last sales touch.