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BALGRAD.AI DATA LAB
First-party shopping intelligence built from the same validated catalog used by BALGRAD.AI product pages. Human-readable findings and machine-readable evidence stay connected so claims can be inspected, cited and rechecked.
FEATURED DATASET
Observed item-price spreads for the same exact product across multiple retailers, compared only inside the same market and original retailer currency.
Sample concentration, current group counts and observed medians are published on the dataset page itself so they stay tied to the same build that produced the evidence. They are descriptive sample statistics, not market-wide benchmarks or savings guarantees.
MACHINE-READABLE STATUS
Current published-catalog coverage, retailer evidence, represented markets and the interpretation rules BALGRAD.AI uses for identity, currency, shipping, freshness and uncertainty.
Open catalog-status.jsonMETHOD
Exact identity first. Original retailer currencies remain separate. Shipping is separate when known and unknown shipping is never treated as free.
Human-readable methodologyMachine-readable methodologyCATALOG REFERENCE
Reference material for interpreting exact identifiers, product variants, retailer offers and catalog coverage without silently merging uncertain products.
Open catalog guideABOUT THE SOURCE
What BALGRAD.AI publishes, how retailer checkout remains authoritative, and where machine-readable discovery references are exposed.
About BALGRAD.AIAI-readable referenceINTERPRETATION GUARDRAILS
Exact product identity. Similar products are not silently treated as identical.
No cross-currency ranking. EUR, GBP and USD evidence stays in its original retailer currency unless explicitly shown otherwise.
No free-shipping assumption. Unknown shipping is never treated as zero.
No savings guarantee. Observed price spreads describe current evidence; retailer checkout remains the final source of truth.
