Uptime50%
60.0
Kimi status & reliability
Moonshot AI
Chinese AI lab founded by Yang Zhilin (ex-Meta / Tsinghua / Recurrent AI). Builds Kimi, a long-context assistant pitched on multi-hundred-thousand-token windows and strong Chinese-language performance. Distributes through kimi.com (chat) and platform.moonshot.cn (API).
Reliability — last 90d
Composite Score
0.0/100
uptime · freq · sev · mttr
▼ 42.5 vs prior 90d
Uptime
0.00%
critical + 0.3 × major (Statuspage formula)
Incidents
0
top type: other
Median MTTR
3m
bad day: 37m
Component
Incidents
Down (attr.)
Median MTTR
Last
Frequency20%
65.4
Severity20%
23.1
MTTR10%
97.5
SLA Compliance
How often does this provider clear their stated availability target?
Industry default (99.9%) · 99.90%
✕ last 90d99.17%-0.73%
Met SLA in 6 of 13 weeks (46%)
13 weeks on record
Method: a rolling quarter (13 weeks ≈ 91 days). Each cell is one 7-day slice of Statuspage-standard uptime (1 − (critical + 0.3 × major) / window; minors and maintenance excluded; red when the slice dips below the stated SLA).
MinorMajorCritical
Total 106 incidents
Other
100%
S
Sunday07:00–08:00 UTC
2incidents
2 critical
- deep research workflow错误率异常Apr 19
- deep research workflow错误率异常Apr 19
2
M
Monday01:00–02:00 UTC
4incidents
4 critical
- agentic模型错误报警Jun 1
- API 服务可用性低Apr 20
- API 服务可用性低Apr 20
- + 1 more
Monday02:00–03:00 UTC
2incidents
2 critical
- agentic模型错误报警Jun 1
- agentic模型错误报警Jun 1
Monday03:00–04:00 UTC
2incidents
2 critical
- 搜索请求出现大量报错May 11
- 搜索请求出现大量报错Apr 20
Monday06:00–07:00 UTC
1incident
1 critical
- 搜索请求出现大量报错Apr 20
Monday07:00–08:00 UTC
2incidents
2 critical
- 搜索请求出现大量报错Apr 20
- 搜索请求出现大量报错Apr 20
Monday08:00–09:00 UTC
4incidents
4 critical
- agentic模型错误报警Jun 1
- 搜索请求出现大量报错Apr 20
- 搜索请求出现大量报错Apr 20
- + 1 more
Monday09:00–10:00 UTC
2incidents
2 critical
- agentic模型错误报警Jun 1
- 搜索请求出现大量报错Apr 20
Monday10:00–11:00 UTC
2incidents
2 critical
- Agentic 模型错误报警Jun 1
- Agentic 模型错误报警Jun 1
Monday13:00–14:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jun 1
Monday14:00–15:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jun 1
Monday15:00–16:00 UTC
2incidents
2 critical
- Agentic 模型错误报警Jun 8
- Agentic 模型错误报警Jun 1
23
T
Tuesday01:00–02:00 UTC
5incidents
5 critical
- Agentic 模型错误报警Jun 2
- Agentic 模型错误报警Jun 2
- agentic模型错误报警May 26
- + 2 more
Tuesday02:00–03:00 UTC
3incidents
3 critical
- Agentic 模型错误报警Jun 16
- Agentic 模型错误报警Jun 2
- agentic模型错误报警May 26
Tuesday03:00–04:00 UTC
2incidents
2 critical
- Agentic 模型错误报警Jun 16
- Agentic 模型错误报警Jun 2
Tuesday04:00–05:00 UTC
1incident
1 critical
- 搜索请求出现大量报错Apr 21
Tuesday08:00–09:00 UTC
1incident
1 critical
- agentic模型错误报警Apr 21
Tuesday09:00–10:00 UTC
4incidents
4 critical
- Agentic 模型错误报警Jun 9
- Agentic 模型错误报警Jun 9
- Agentic 模型错误报警Jun 2
- + 1 more
Tuesday10:00–11:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jun 2
Tuesday14:00–15:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jun 2
Tuesday15:00–16:00 UTC
3incidents
3 critical
- deep research workflow错误率异常Apr 14
- deep research workflow错误率异常Apr 14
- deep research workflow错误率异常Apr 14
Tuesday16:00–17:00 UTC
1incident
1 critical
- deep research workflow错误率异常Apr 14
22
W
Wednesday06:00–07:00 UTC
1incident
1 critical
- deep research workflow错误率异常Apr 15
Wednesday07:00–08:00 UTC
1incident
1 critical
- deep research workflow错误率异常Apr 15
Wednesday09:00–10:00 UTC
3incidents
3 critical
- deep research workflow错误率异常Apr 15
- deep research workflow错误率异常Apr 15
- deep research workflow错误率异常Apr 15
Wednesday10:00–11:00 UTC
1incident
1 critical
- deep research workflow错误率异常Apr 15
Wednesday14:00–15:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jun 3
7
T
Thursday01:00–02:00 UTC
2incidents
2 critical
- 搜索功能报错Apr 23
- 搜索功能报错Apr 23
Thursday02:00–03:00 UTC
3incidents
3 critical
- 搜索功能报错Apr 23
- 搜索功能报错Apr 23
- 搜索功能报错Apr 23
Thursday03:00–04:00 UTC
4incidents
4 critical
- 搜索功能报错Apr 23
- 搜索功能报错Apr 23
- 搜索功能报错Apr 23
- + 1 more
Thursday04:00–05:00 UTC
1incident
1 critical
- 搜索功能报错Apr 23
Thursday05:00–06:00 UTC
1incident
1 critical
- 搜索功能报错Apr 23
Thursday06:00–07:00 UTC
2incidents
2 critical
- deep research workflow错误率异常May 14
- 搜索功能报错Apr 23
Thursday07:00–08:00 UTC
1incident
1 critical
- 搜索功能报错Apr 23
Thursday08:00–09:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jun 11
Thursday09:00–10:00 UTC
2incidents
2 critical
- Agentic 模型错误报警Jun 11
- Agentic 模型错误报警Jun 4
Thursday16:00–17:00 UTC
1incident
1 critical
- deep research workflow错误率异常Apr 16
Thursday18:00–19:00 UTC
1incident
1 critical
- 搜索请求出现大量报错Apr 30
19
F
Friday04:00–05:00 UTC
1incident
1 critical
- 搜索请求出现大量报错Apr 10
Friday06:00–07:00 UTC
3incidents
3 critical
- 搜索请求出现大量报错May 8
- 搜索请求出现大量报错May 8
- 搜索请求出现大量报错May 1
Friday07:00–08:00 UTC
3incidents
3 critical
- 搜索请求出现大量报错May 22
- 搜索请求出现大量报错May 22
- 搜索请求出现大量报错May 1
Friday09:00–10:00 UTC
5incidents
5 critical
- 搜索请求出现大量报错May 22
- 搜索请求出现大量报错May 22
- 搜索请求出现大量报错May 22
- + 2 more
Friday10:00–11:00 UTC
3incidents
3 critical
- 搜索请求出现大量报错May 22
- 搜索请求出现大量报错May 22
- 搜索请求出现大量报错May 22
Friday11:00–12:00 UTC
2incidents
2 critical
- 搜索请求出现大量报错May 22
- 搜索请求出现大量报错May 22
Friday12:00–13:00 UTC
1incident
1 critical
- 搜索请求出现大量报错May 22
Friday14:00–15:00 UTC
1incident
1 critical
- deep research workflow错误率异常Apr 17
Friday15:00–16:00 UTC
2incidents
2 critical
- deep research workflow错误率异常Apr 17
- deep research workflow错误率异常Apr 17
Friday17:00–18:00 UTC
3incidents
3 critical
- deep research workflow错误率异常Apr 17
- deep research workflow错误率异常Apr 17
- deep research workflow错误率异常Apr 17
24
S
Saturday01:00–02:00 UTC
1incident
1 critical
- 搜索请求出现大量报错Apr 18
Saturday03:00–04:00 UTC
1incident
1 critical
- 短信登录异常Jun 13
Saturday08:00–09:00 UTC
2incidents
2 critical
- deep research workflow错误率异常Apr 18
- deep research workflow错误率异常Apr 18
Saturday09:00–10:00 UTC
2incidents
2 critical
- deep research workflow错误率异常Apr 18
- deep research workflow错误率异常Apr 18
Saturday10:00–11:00 UTC
2incidents
2 critical
- deep research workflow错误率异常Apr 18
- deep research workflow错误率异常Apr 18
Saturday12:00–13:00 UTC
1incident
1 critical
- deep research workflow错误率异常Apr 18
9
00
06
12
18
HOUR OF DAY · UTC106 incident starts · hover any cell for detail
Hottest hour
Tuesday 01:00 5
Worst day
Friday 24
Worst time of day
09:00–10:00 18
Typical fix
3m
half of incidents resolve faster
On a bad day
37m
9 in 10 resolve faster than this
Distribution
<15m
88
15m–1h
13
1–4h
4
4–24h
1
24h+
0
+0 ongoing (not counted above)
MTTR Trend (12 weeks)
Are they recovering faster or slower over time? Lower is better.
14m worstnow 9m
12 weeks agodelta +8m (worse)now
Showing 7 of 119 · 4 of 31 daysLatest first
TUE, JUN 162026-06-162 incidents
SAT, JUN 132026-06-131 incident
THU, JUN 112026-06-112 incidents
TUE, JUN 92026-06-092 incidents
3d incident-free streak