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Edition

Apprentice's Pants

CommonCloth
Open in the auction house

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Price

Last scan Nov 6, 2026, 12:00 UTC

Market value on Akama (US)

555g 0s 0c
Lowest buyout
555g 0s 0c
Listings
1
  • Regional auction data, hourly
  • 20 scans
How prices are measured
  • Apprentice's Pants
  • Item Level: 1
  • Binds when equipped
  • LegsCloth
  • Required Level: 1
  • Sell price: 8c
Sources: sold by 3 vendors

Sources

  • Sold by 3 vendors.

Sold by vendors, 3 sources

  • Carla GrangerCost per purchase41c+13,536,485.4% auction price against vendor
  • OllanusCost per purchase41c+13,536,485.4% auction price against vendor
  • Thomas YanceCost per purchase41c+13,536,485.4% auction price against vendor

Most sources come from published game data.

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Market

Akama (US)

Price History

Akama (US)
Low
555g 0s 0c
Average
555g 0s 20c
High
555g 1s 0c
Samples
20
The 7-day average needs at least a week of history; pick a wider range than 1D.Show the 7-day average market price
Price history for Apprentice's Pants, 1 week, Akama (US); days with data: 3
Time (UTC)Lowest buyoutAverageQuantity
Nov 4, 03555g555g3
Nov 4, 06555g555g3
Nov 4, 09555g555g3
Nov 4, 12555g555g3
Nov 4, 15555g555g2
Nov 4, 18555g555g1
Nov 4, 21555g555g1
Nov 5, 00555g555g1
Nov 5, 03555g555g1
Nov 5, 06555g555g1
Nov 5, 09555g555g1
Nov 5, 12555g555g1
Nov 5, 15555g555g1
Nov 5, 18555g555g1
Nov 5, 21555g555g1
Nov 6, 00555g555g1
Nov 6, 03555g555g1
Nov 6, 06555g555g1
Nov 6, 09555g555g1
Nov 6, 12555g555g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Apprentice's Pants
Day (UTC)AverageUnits listed
Nov 6555g 0s 0c1
Nov 5555g 0s 0c1
Nov 4555g 0s 0c1

The 1 week view covers the 3 days of data this item has. Showing Nov 4, 2026 to Nov 6, 2026.

Trading hours: the cheaper and dearer hours of the week, in UTC

Trading Hours

See when Apprentice's Pants tends to trade below or above its usual price, based on the last 30 days.

The grid follows the auction week in UTC.

Loading trading hours
Cheaper than usualTypicalMore expensive than usualLimited data