IntegralScore

All the ratings. One Score.

B2C Benchmark Dashboard
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IntegralScore (All Sources)

Unified 1–10 score across all engines, sources, and rating scales.

v7.2 B2C Dashboard
/ 10
No score available yet
Sources: 0 Engines: 0 Reviews: 0 Items: 0
Score is normalized to 1–10 across heterogeneous rating scales. Includes weighting for recency, source reliability, and sample size.

Source & Engine Mix

How much each source, engine, and country contributes to the final IntegralScore.

No breakdown available for this product yet.

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.

/ 10
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Interpretation: This filtered IntegralScore reflects the same 1–10 normalized rating, but only for the subset of reviews matching the selected filters.

Filtered breakdown

Key contributors to the filtered IntegralScore.

By source
Waiting for filters…
By engine
By country

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.

No AI summary is available yet for this product.

Results Summary · All Sources

All engines and sources, merged into a single view.

Date diagnostics (debug only)
        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
          
Review Analytics (debug only)
        reviews defined?           no

        # reviews.overall
        
        reviews.overall:          n/a
        

        # reviews.by_source (first 5)
        
        reviews.by_source:         n/a
        
          
Weighted by recency & reliability

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.

Optional deep dive via model view
Scale alignment across sources
Waiting for data…
Source concentration
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Recency health
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Interpretation: These diagnostics will summarise whether the current score is driven by a small set of sources, skewed scales, or stale data.

Model Scores (Experimental)

Compare how different IntegralScore models behave on the same data.

Experimental
Model score n=0, weight=0

Model breakdown

By source
Waiting for selection…
By engine
By country

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.

Advanced users
Open API

The API response includes the normalized score, breakdowns, and (optionally) the raw enriched payload per source/engine.