Uptime50%
46.1
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
▼ 56.1 vs prior 90d
Uptime
0.00%
critical + 0.3 × major (Statuspage formula)
Incidents
0
top type: other
Median MTTR
35m
bad day: 25h 41m
Component
Incidents
Down (attr.)
Median MTTR
Last
Frequency20%
68.9
Severity20%
0.0
MTTR10%
70.8
SLA Compliance
How often does this provider clear their stated availability target?
Industry default (99.9%) · 99.90%
✕ last 90d97.70%-2.20%
Met SLA in 5 of 13 weeks (38%)
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 93 incidents
Other
100%
S
Sunday00:00–01:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 12
Sunday01:00–02:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 12
Sunday02:00–03:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 12
Sunday03:00–04:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 12
Sunday04:00–05:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 12
5
M
Monday01:00–02:00 UTC
1incident
1 critical
- agentic模型错误报警Jun 1
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
1incident
1 critical
- 搜索请求出现大量报错May 11
Monday08:00–09:00 UTC
1incident
1 critical
- agentic模型错误报警Jun 1
Monday09:00–10:00 UTC
1incident
1 critical
- agentic模型错误报警Jun 1
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
Monday11:00–12:00 UTC
1incident
1 critical
- 搜索请求出现大量报错Aug 3
Monday12:00–13:00 UTC
1incident
1 critical
- 搜索请求出现大量报错Aug 3
Monday13:00–14:00 UTC
2incidents
2 critical
- 搜索请求出现大量报错Aug 3
- Agentic 模型错误报警Jun 1
Monday14:00–15:00 UTC
2incidents
2 critical
- 搜索请求出现大量报错Aug 3
- Agentic 模型错误报警Jun 1
Monday15:00–16:00 UTC
4incidents
4 critical
- 搜索请求出现大量报错Aug 3
- 搜索请求出现大量报错Jul 27
- Agentic 模型错误报警Jun 8
- + 1 more
18
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
Tuesday09:00–10:00 UTC
3incidents
3 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
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
15
W
Wednesday01:00–02:00 UTC
1incident
1 critical
- 搜索请求出现大量报错Jul 1
Wednesday14:00–15:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jun 3
Wednesday23:00–00:00 UTC
1incident
1 critical
- 搜索请求出现大量报错Jul 22
3
T
Thursday00:00–01:00 UTC
1incident
1 critical
- 搜索请求出现大量报错Jul 23
Thursday06:00–07:00 UTC
1incident
1 critical
- deep research workflow错误率异常May 14
Thursday08:00–09:00 UTC
2incidents
2 critical
- 搜索请求出现大量报错Jul 30
- 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
6
F
Friday06:00–07:00 UTC
2incidents
2 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
Friday07:00–08:00 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
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
Friday18:00–19:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 10
Friday19:00–20:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 10
Friday20:00–21:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 10
Friday21:00–22:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 10
Friday22:00–23:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 10
Friday23:00–00:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 10
21
S
Saturday00:00–01:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday01:00–02:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday02:00–03:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday03:00–04:00 UTC
2incidents
2 critical
- Agentic 模型错误报警Jul 11
- 短信登录异常Jun 13
Saturday04:00–05:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday05:00–06:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday06:00–07:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday07:00–08:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday08:00–09:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday09:00–10:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday10:00–11:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday11:00–12:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday12:00–13:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday13:00–14:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday14:00–15:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday15:00–16:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday16:00–17:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday17:00–18:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday18:00–19:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday19:00–20:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday20:00–21:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday21:00–22:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday22:00–23:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
Saturday23:00–00:00 UTC
1incident
1 critical
- Agentic 模型错误报警Jul 11
25
00
06
12
18
HOUR OF DAY · UTC93 incident starts · hover any cell for detail
Hottest hour
Tuesday 01:00 5
Worst day
Saturday 25
Worst time of day
09:00–10:00 12
Typical fix
35m
half of incidents resolve faster
On a bad day
25h 41m
9 in 10 resolve faster than this
Distribution
<15m
39
15m–1h
15
1–4h
7
4–24h
21
24h+
11
+0 ongoing (not counted above)
MTTR Trend (12 weeks)
Are they recovering faster or slower over time? Lower is better.
1060m worstnow 124m
12 weeks agodelta +122m (worse)now
Showing 8 of 164 · 4 of 40 daysLatest first
MON, AUG 32026-08-035 incidents
THU, JUL 302026-07-301 incident
MON, JUL 272026-07-271 incident
THU, JUL 232026-07-231 incident