IntegralScore (All Sources)
Unified 1–10 score across all engines, sources, and rating scales.
Source & Engine Mix
How much each source, engine, and country contributes to the final IntegralScore.
Filters
Slice the IntegralScore by country, language, engine, and source.
IntegralScore (Filtered) Current slice
IntegralScore for the currently selected filters. When filters are cleared, this matches the all-data score above.
Filtered breakdown
Key contributors to the filtered IntegralScore.
AI Summary & Insights LLM-powered
A condensed natural language view of how this product is perceived across sources and time. This summary is based on the overall data collected for this product.
Results Summary · All Sources
All engines and sources, merged into a single view.
product_rows defined? yes
review_rows defined? no
facets defined? no
raw_payload defined? no
# product_rows (listing-centric)
total_rows (product_rows): 0
rows_with_review_date: 0
review_date_min (product_rows): n/a
review_date_max (product_rows): n/a
# review_rows (review-centric)
total_rows (review_rows): 0
review_rows_with_review_date: 0
review_date_min (review_rows): n/a
review_date_max (review_rows): n/a
review_events (payload): n/a
review_events_ts_daily: n/a
recency_ts_daily: n/a
integral_rows_ts_daily: n/a
reviews defined? no
# reviews.overall
reviews.overall: n/a
# reviews.by_source (first 5)
reviews.by_source: n/a
Results
Each row represents an engine + source combination with its native and normalized scores.
No aggregated results are available for this product yet.
Scale Quality (by Source)
Shows how each source behaves in native scale terms: average native rating, volume, and how it maps into the 1–10 scale.
No per-source scale quality statistics are available yet.
Rating Scales by Source
Detailed view of source-specific rating scales and their mapping into IntegralScore’s 1–10 normalization.
No per-source rating scale rows are available yet.
Additional Analytics
Quick diagnostics on scale alignment, source concentration, and recency.
Model Scores (Experimental)
Compare how different IntegralScore models behave on the same data.
Model breakdown
Model comparison table
| Model | Score (1–10) | Confidence | Rows | Weight |
|---|---|---|---|---|
| Loading model scores… | ||||
This section is experimental and meant to compare different weighting / normalization strategies on the same underlying review data.
Raw JSON & Debug
Access to the underlying JSON blob for deeper analysis or debugging.
The API response includes the normalized score, breakdowns, and (optionally) the raw enriched payload per source/engine.