Decision Audit

A completeness score tells you which column is emptiest. The Decision Audit tells you which missing fact is costing you sales, and those are rarely the same column. On our own 216-laptop test shelf, processor was missing twice as often as screen size, yet screen size came up in 13 of 32 buying requirements and processor in 2. Fill the emptiest column first and you do the most visible work for the least return.

Who it is for: the catalogue or e-commerce lead who has to decide where the content budget goes this quarter, and the developer who wires the export in.

What you get backSao chép liên kết mục

• Every attribute in priority order, ranked by decision information: how much closer a shopper gets to a decision once the fact is recorded. What that means.
• Where each missing value already lives: in your own titles and descriptions (a parse, often same-day), in a supplier feed (a mapping), or nowhere (someone has to find it).
• With amortisationHorizon, an action per attribute: record it once, or ask the shopper.
• Plain flags where the ranking may be wrong, rather than a confident number.

The callSao chép liên kết mục

curl -X POST "https://api.thepulseapi.com/api/v1/catalog/audit" \
  -H "Content-Type: application/json" \
  -H "x-api-key: pk_live_..." \
  -d '{
    "csv": "id,category,size,material\n1,helmet,L,abs\n2,helmet,,\n",
    "source": "merchant",
    "amortisationHorizon": 5000
  }'

One category export as a CSV string, up to 2 MB, roughly 20,000 products. Nothing is stored unless you ask. Every field: POST /catalog/audit.

Counts toward usage: yes, one request per audit.

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