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A completed scan is a per-second timeline, not a single number. Here’s how to read each part. For the exact field-by-field contract, see Get a scan.

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The headline score

The top of the response carries an overall_score (0–100) and a letter grade, the single number to lead with when you need one. Treat it as a directional average over the whole clip, not a precise measurement: it’s the same headline the dashboard and result email show. The real value is still in the timeline below; the score just tells you, at a glance, whether the piece landed.

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The timeline

timeline is the heart of the result, with one entry per second of the clip. Each second carries the lens scores for that moment, and (depending on the options you asked for) the raw brain-network values, a benchmark, and per-second reasons. Read it as a curve: the shape across seconds tells you far more than any one second alone.

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Lenses

Each second’s scores holds the seven reads (attention, purchase_intent, manipulation, emotion, cognitive_effort, memory, surprise), each 0–100, where 50 is neutral. A high attention score with a low memory score, for example, means the content grabs focus but doesn’t stick, a signal to strengthen the payoff.

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Moments

moments names the standout seconds, where a lens peaks or drops sharply, so you don’t have to scan a whole clip by hand. Each moment tells you the lens, the second, and how far it moved. This is usually where you start.

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Summary

summary is a plain-English paragraph: what happened, where the highs and lows were, and which read led. It’s the fastest way to brief a human (or hand an agent a headline).

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Raw

raw is for teams that want to go underneath the lenses: the per-second activation of each of the seven brain networks. Every lens score is derived from these. Include it with options.include_raw. When include_raw is set, each second also carries raw_labeled: the same numbers re-keyed to plain-language names (Voice, Cognitive, Emotional, Memory, Attention, Salience, Visual) so you don’t need the neuroscience terms. raw is left untouched; raw_labeled is purely additive.
On short or highly-repetitive content the timeline can come back nearly flat, with every second scoring about the same. That’s a faithful read, not a bug: a steady piece produces a steady brain response. The signal you act on is the movement across the timeline, so flatness itself is information. It usually means nothing in the content is creating contrast.

Create a scan

Submit content and get a scan back.