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Current signals and freshness
Use timestamps, source coverage, and confidence to understand when real-world context may change an audience decision.
Interactive product walkthrough
Inspect a current signal
Open source coverage, timestamps, confidence, and save the bounded signal.
Simulation onlyNothing is saved or charged
1
Step 1 of 6Open Intelligence
Choose Intelligence from the sidebar.
Mavera workspace
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Choose a surface from the sidebar to begin.
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Recent workspace activityStatus
Audience comparisonReady to review
Customer interview evidenceGrounded
Campaign pre-flightDraft
- 1Open IntelligenceChoose Intelligence from the sidebar.
- 2Choose Current signalsOpen the freshness workspace.
- 3Inspect source coverageOpen the source list behind the current signal.
- 4Read timestampsInspect fetched and published timestamps separately.
- 5Check confidenceOpen the plain-language confidence explanation.
- 6Save the signalSave the bounded signal to the current project.
The Signals surface contains two different products:
- World-event clusters: live, deduplicated events with source URLs, computed sentiment, and magnitude z-scores.
- Indices: calibrated levels such as economic anxiety. If durable anchor history or live coverage is insufficient, the UI shows calibrating instead of a number.
Prompt drop
Prompt2 fields left
What current, dated signals could change [decision] for [audience]? Cite each real-world source and its date. Then separately model how the audience may respond. Do not present modeled reactions as sourced facts.
Unfilled variables remain in brackets.
Freshness state
“Current” means the source has an as-of date and acceptable coverage. It does not mean the model remembers something recent.