> ## Documentation Index
> Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# OnBuy audit profile, Vortex IQ

> What the Vortex IQ OnBuy health audit checks: OnBuy: Listing Health, Fulfilment SLA & Cross-Channel Leak

**[Nerve Centre KPIs](/nerve-centre/kpi-cards/onbuy) · [Audit Profile](/nerve-centre/kpi-cards/onbuy/audit) · [Sentiment Settings](/nerve-centre/kpi-cards/onbuy/sentiment)**

OnBuy is a UK-focused marketplace. Audits cover listing visibility (suspended, uncategorised, stale), order fulfilment SLA (the merchant-rating signal that drives OnBuy account standing), pricing competitiveness (commission %, RRP-vs-price gap), and cross-channel comparisons against Amazon UK + DTC siblings to surface catalogue drift, missing-on-OnBuy SKUs, and channel-mix imbalance.

## What this audit checks

### Authentication & access

* OAuth client-credentials valid (auth on /v2/auth/request-token)
* Token refresh succeeds within 1h window
* Authorization header is raw token (NOT Bearer-prefixed) - common mistake
* site\_id correct (UK = 2000)
* /v2/account 403 expected - derive seller stats from listing/order payloads

### Listing visibility

* Suspended listings (any > 0 = direct revenue blocker)
* Inactive listings >5% of total (catalogue rot)
* Stale listings >180d no update >10% (search de-prioritisation risk)
* Uncategorised listings (missing category\_id = invisible to category browse)
* Zero-stock active listings (show on browse but can't fulfil)

### Order fulfilment SLA

* Pending dispatch >2x 30D average (backlog signal)
* Avg dispatch time >24h (slow ops)
* Late dispatches >5% of 30D orders (account-standing risk)
* Cancellation rate >3% (refund + rating impact)
* Single-courier dependency >85% (resilience risk)

### Pricing & commission

* Commission % >12% of revenue (margin compression by category)
* Listings missing RRP >10% of catalogue (no Save% badge)
* Avg discount >25% vs RRP (margin erosion)
* Per-category commission outliers (categories where OnBuy fees outpace Amazon UK)

### Brand & category coverage

* Category coverage \<80% of brand-relevant tree
* Brand registry alignment with Amazon Brand Registry status
* Top-velocity Amazon UK brands missing from OnBuy listings

### Cross-channel: leak vs Amazon UK + DTC (the killer area)

* Catalogue drift - same SKU, OnBuy vs Amazon UK price delta >15%
* Top-50 Amazon UK SKUs not listed on OnBuy (cheapest revenue lift)
* OnBuy price >10% below DTC list price (MAP violation risk)
* OnBuy orders via ShipBob: SLA compliance per-channel (isolates 3PL performance)
* Channel mix anomaly: OnBuy share dropping >25% WoW vs Amazon UK on top SKUs

## Severity thresholds

| Signal                         | Warn | Critical |
| ------------------------------ | ---- | -------- |
| `suspended_listings_count`     | 1    | 5        |
| `inactive_listings_pct`        | 3    | 5        |
| `stale_listings_pct`           | 5    | 10       |
| `uncategorised_listings_count` | 1    | 10       |
| `zero_stock_active_count`      | 1    | 10       |
| `pending_dispatch_multiplier`  | 1.5  | 2        |
| `avg_dispatch_hours`           | 18   | 24       |
| `late_dispatch_pct`            | 3    | 5        |
| `cancellation_rate_pct`        | 2    | 3        |
| `commission_pct_of_revenue`    | 10   | 12       |
| `missing_rrp_pct`              | 5    | 10       |
| `avg_discount_vs_rrp_pct`      | 20   | 25       |
| `category_coverage_pct`        | 85   | 80       |
| `catalogue_drift_count`        | 5    | 10       |
| `missing_on_onbuy_count`       | 3    | 5        |
| `map_violation_count`          | 1    | 5        |

## Data sources

* `POST https://api.onbuy.com/v2/auth/request-token` - Auth + token-refresh sanity
* `GET https://api.onbuy.com/v2/listings?site_id=2000` - Listing inventory + status + categorisation
* `GET https://api.onbuy.com/v2/orders?site_id=2000` - Order status, dispatch timing, fulfilment SLA
* `GET https://api.onbuy.com/v2/brands?site_id=2000` - Brand catalogue lookup for coverage checks
* `GET https://api.onbuy.com/v2/categories?site_id=2000` - Category tree (\~4,300 entries) for categorisation checks