Recommendation Audits

Create a Shopify Recommendation Audit baseline

Read public storefront and product evidence for one Shopify store and one to three exact product pages. When the one-link web flow supplies no buyer question, Colter derives five deterministic questions from the product name, brand, and category. Questions do not affect the page findings or fix selection.

The stable readiness_baseline_only response value is a compatibility label. This endpoint does not query a named answer engine or show that a product was displayed, cited, or recommended. No authentication required.

The multi-page and comparison-page request fields are a technical API superset for batch work. The merchant product at /audit checks one public Shopify product page at a time.

post/api/v1/recommendation-audit

Request

  • Base URL: https://agenticcom.ai
  • URL: https://agenticcom.ai/api/v1/recommendation-audit
  • Auth: none declared

Request body

store_urlstring uri required
product_urlsstring[] required
intentsstring[] required
competitor_urlsstring[]

Response

Shopify public-evidence baseline completed.

kind'recommendation_audit' required
audit_idstring required
report_urlstring required
audit_versionstring required
evidence_status'readiness_baseline_only' required
scoreinteger required
gradestring required
measured_atstring date-time
intentsstring[] required
suggested_questionsstring[] required
evidence_rowsobject[] required
fixesobject[] required
claim_boundarystring required

Changes

No recorded changes to this operation across all 1 revision of this API.