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Ebonweave Gloves

EpicCloth
Open in the auction house

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Price

Last scan Oct 8, 2026, 00:00 UTC

Last seen price on Aman'Thul (US)

5,000g 1s 0c
Not listed in the last 7 days. This is the newest listing a scan recorded, not a live price.
Lowest buyout
5,000g 1s 0c
Listings at that scan
1
  • Regional auction data, hourly
  • 165 scans
How prices are measured
  • Ebonweave Gloves
  • Item Level: 35
  • HandsCloth
  • Required Level: 30
  • Sell price: 89s 45c
Sources: 1 recipe

Sources

Crafted

Most sources come from published game data.

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Market

Aman'Thul (US)

Price History

Aman'Thul (US)
Low
4,257g 38s 0c
Average
23,601g 56s 78c
High
52,000g 1s 0c
Samples
165
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 Ebonweave Gloves, 1 week, Aman'Thul (US)
Time (UTC)Lowest buyoutAverageQuantity
Mar 1, 0045,000g45,000g1
Mar 2, 007,705g15,164g2
Mar 3, 007,705g7,705g1
Mar 4, 007,489g7,561g3
Mar 7, 005,599g5,599g2
Mar 8, 005,599g5,599g2
Mar 9, 006,324g6,324g3
Mar 10, 006,324g6,324g3
Mar 22, 004,257g4,257g1
Mar 27, 004,257g4,257g1
Apr 9, 0020,000g20,000g1
Apr 10, 0020,000g20,000g1
Apr 11, 0020,000g20,000g1
Apr 12, 0020,000g20,000g1
Apr 13, 0020,000g20,000g1
Apr 14, 0020,000g20,000g1
Apr 15, 0020,000g20,000g1
Apr 16, 0020,000g20,000g1
Apr 17, 0035,000g35,000g1
Apr 18, 0035,000g35,000g1
Apr 19, 0035,000g35,000g1
Apr 20, 0035,000g35,000g1
Apr 21, 0035,000g35,000g1
Apr 22, 0030,000g30,000g1
Apr 23, 0030,000g30,000g1
Apr 24, 0030,000g30,000g1
Apr 25, 0010,000g10,000g1
Apr 26, 0010,000g10,000g1
Apr 27, 0010,000g18,000g1
Apr 28, 0020,000g20,000g1
Apr 30, 0040,000g40,000g1
May 1, 0040,000g40,000g1
May 2, 0040,000g40,000g1
May 3, 0045,000g45,000g1
May 4, 0045,000g45,000g1
May 5, 0045,000g45,000g1
May 6, 0020,000g20,000g1
May 7, 0020,000g20,000g1
May 8, 0010,000g18,571g1
May 9, 0010,000g10,000g1
May 10, 0010,000g10,000g1
May 11, 0045,000g45,000g1
May 12, 0045,000g45,000g1
May 13, 0045,000g45,000g1
May 15, 0020,000g20,000g1
May 16, 0020,000g20,000g1
May 17, 0045,000g45,000g1
May 18, 0045,000g45,000g1
May 19, 0020,000g20,000g1
May 20, 0020,000g20,000g1
May 21, 0020,000g20,000g1
May 22, 0020,000g20,000g1
May 23, 0020,000g20,000g1
May 24, 0045,000g45,000g1
May 25, 0045,000g45,000g1
May 26, 0045,000g45,000g1
May 27, 0045,000g45,000g1
May 28, 0020,000g32,500g1
May 31, 0020,000g20,000g1
Jun 1, 0020,000g20,000g1
Jun 3, 0045,000g45,000g1
Jun 4, 0020,000g20,000g1
Jun 5, 0020,000g20,000g1
Jun 8, 0010,000g10,000g1
Jun 11, 0045,000g45,000g1
Jun 12, 0020,000g20,000g1
Jun 13, 0020,000g20,000g1
Jun 14, 0020,000g20,000g1
Jun 20, 0045,000g45,000g1
Jun 21, 0045,000g45,000g1
Jun 24, 0045,000g45,000g1
Jun 25, 0045,000g45,000g1
Jun 27, 0045,000g45,000g1
Jun 28, 0045,000g45,000g1
Jun 29, 0045,000g45,000g1
Jul 2, 0045,000g45,000g1
Jul 3, 0045,000g45,000g1
Jul 4, 0045,000g45,000g1
Jul 5, 0020,000g20,000g1
Jul 6, 0020,000g20,000g1
Jul 7, 0020,000g20,000g1
Jul 9, 0010,000g10,000g1
Jul 10, 0010,000g10,000g1
Jul 11, 0010,000g10,000g1
Jul 12, 0045,000g45,000g1
Jul 13, 0045,000g45,000g1
Jul 14, 0020,000g32,500g1
Jul 15, 0020,000g20,000g1
Jul 16, 0020,000g20,000g1
Jul 17, 0020,000g20,000g1
Jul 18, 0020,000g20,000g1
Jul 19, 0020,000g20,000g1
Jul 20, 0020,000g20,000g1
Jul 21, 0020,000g20,000g1
Jul 22, 0020,000g20,000g1
Jul 23, 0020,000g20,000g1
Jul 24, 0020,000g20,000g1
Jul 25, 0020,000g20,000g1
Jul 26, 0020,000g20,000g1
Jul 27, 0045,000g45,000g1
Jul 28, 0045,000g45,000g1
Jul 30, 0045,000g45,000g1
Jul 31, 0045,000g45,000g1
Aug 1, 0045,000g45,000g1
Aug 3, 0010,000g10,000g1
Aug 4, 0010,000g10,000g1
Aug 5, 0010,000g10,000g1
Aug 8, 0052,000g52,000g1
Aug 9, 0052,000g52,000g1
Aug 10, 0052,000g52,000g1
Aug 11, 0020,000g20,000g1
Aug 12, 0020,000g20,000g1
Aug 13, 0020,000g20,000g1
Aug 14, 0025,000g25,000g1
Aug 15, 0025,000g25,000g1
Aug 16, 0020,000g20,625g1
Aug 17, 0020,000g20,000g1
Aug 18, 0010,000g13,636g1
Aug 19, 0010,000g10,000g1
Aug 20, 0010,000g10,000g1
Aug 21, 0010,000g10,000g1
Aug 22, 0010,000g10,000g1
Aug 23, 0010,000g10,000g1
Aug 24, 0020,000g20,000g1
Aug 25, 0020,000g20,000g1
Aug 26, 0020,000g20,000g1
Aug 27, 0020,000g20,000g1
Aug 28, 0020,000g20,000g1
Aug 29, 0020,000g20,000g1
Aug 30, 0010,000g10,000g1
Aug 31, 0010,000g10,000g1
Sep 1, 0010,000g10,000g1
Sep 2, 007,500g9,000g2
Sep 3, 007,500g8,750g2
Sep 4, 005,500g7,667g2
Sep 5, 005,500g6,500g2
Sep 6, 005,500g6,452g2
Sep 7, 0010,000g10,000g1
Sep 8, 0010,000g10,000g1
Sep 9, 007,475g8,842g2
Sep 10, 007,468g7,505g2
Sep 11, 007,468g7,486g2
Sep 12, 007,468g7,471g2
Sep 13, 0019,980g19,990g2
Sep 14, 0019,980g19,990g2
Sep 15, 0019,980g19,990g2
Sep 17, 0019,998g19,999g2
Sep 18, 0019,998g19,999g2
Sep 19, 0019,998g19,998g2
Sep 20, 0019,998g19,998g2
Sep 21, 0019,998g19,998g2
Sep 22, 0045,000g45,000g1
Sep 23, 0045,000g45,000g1
Sep 26, 0010,000g10,000g1
Sep 27, 0010,000g10,000g1
Sep 28, 0010,000g10,000g1
Sep 29, 0010,000g10,000g1
Sep 30, 0010,000g10,000g2
Oct 1, 0010,000g10,000g1
Oct 3, 0020,000g20,000g1
Oct 4, 0020,000g20,000g1
Oct 5, 0020,000g20,000g1
Oct 6, 005,000g5,000g1
Oct 7, 005,000g5,000g1
Oct 8, 005,000g5,000g1
  • Lowest buyout
  • Average
  • Quantity
  • Latest lowest price
Daily average for Ebonweave Gloves
Day (UTC)AverageUnits listed
Oct 85,000g 1s 0c1
Oct 75,000g 1s 0c1
Oct 65,000g 1s 0c1
Oct 520,000g 1s 0c1
Oct 420,000g 1s 0c1
Oct 320,000g 1s 0c1
Oct 110,000g 1s 0c1
Sep 3010,000g 1s 0c2
Sep 2910,000g 1s 0c1
Sep 2810,000g 1s 0c1
Sep 2710,000g 1s 0c1
Sep 2610,000g 1s 0c1
Sep 2345,000g 1s 0c1
Sep 2245,000g 1s 0c1
Sep 2119,998g 1s 0c2
Sep 2019,998g 1s 0c2
Sep 1919,998g 27s 67c2
Sep 1819,999g 1s 0c2
Sep 1719,999g 28s 27c2
Sep 1519,990g 1s 0c2
Sep 1419,990g 1s 0c2
Sep 1319,990g 1s 0c2
Sep 127,470g 85s 0c2
Sep 117,485g 67s 14c2
Sep 107,504g 65s 26c2
Sep 98,841g 80s 53c2
Sep 810,000g 1s 0c1
Sep 710,000g 1s 0c1
Sep 66,452g 38s 10c2
Sep 56,500g 0s 0c2

Sparse data for 1 week: showing all available history.

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

Trading Hours

See when Ebonweave Gloves 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