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Token burn rate dashboard for AI apps in Full-Stack Observability Platforms | Parse

Markets
Developer Tools
Full-Stack Observability Platforms

Full-Stack Observability Platforms

Token burn rate dashboard for AI apps

Data as of Oct 13, 2026A topic in Full-Stack Observability Platforms.Reviewed by Dimitry Apollonsky

How we measure

Which brands AI mentions

#BrandHow often mentioned

1

LangfuseOften

2

GrafanaOften

5

Grafana OSS, a product of GrafanaRarely

3

OpenTelemetryOften

4

PrometheusOften

6

7

8

9

16

Datadog LLM Observability, a product of Datadog

45

Datadog Agent Observability, a product of Datadog

88

Datadog APM, a product of Datadog

124

Datadog Cloud Cost Management, a product of Datadog

10

OpenAI

37

GPT-4o, a product of OpenAI

156

ChatGPT Team, a product of OpenAI

157

ChatGPT, a product of OpenAI

11

Anthropic

21

Claude, owned by Anthropic

25

Arize AI

12

Arize Phoenix, a product of Arize AI

13

ClickHouse

43

LangChain

14

LangSmith, a product of LangChain

41

LangChain LangGraph, a product of LangChain

94

Google

15

Gemini, a product of Google

85

Google Cloud, a product of Google

112

Google AI Studio, a product of Google

17

SigNoz

66

SigNoz AI Observability, a product of SigNoz

18

19

20

22

23

Google Cloud BigQuery

24

26

27

28

29

140

Grafana Cloud GenAI, a product of Grafana Cloud

30

PagerDuty

175

Tiger Data

31

Timescale, a product of Tiger Data

32

Apache Kafka

33

Retool

34

Snowflake

67

Snowflake AI, a product of Snowflake

60

AWS

35

Amazon Bedrock, a product of AWS

81

Amazon Kinesis, a product of AWS

113

Amazon OpenSearch Service, a product of AWS

114

Amazon CloudWatch, a product of AWS

36

ccusage

38

OpenLIT

39

Slack · salesforce.com

40

42

44

46

47GGPT-5

48

49

50

51

52

53

179

54

Next.js, a product of Vercel

111

Vercel AI Gateway, a product of Vercel

55

React

56

Slack · slack.com

57

Splunk

106

Splunk Observability Cloud, a product of Splunk

165

Splunk AppDynamics, a product of Splunk

58

Jellyfish

146

Jellyfish AI Impact, a product of Jellyfish

59

61

62

63

64

65

68

69

70

Google Cloud Platform

71

72

74

75

76

77

78

79

80

Weights & Biases Weave

82

83

86

87

89

90

Elastic Observability, a product of Elastic

126

Elasticsearch, a product of Elastic

127

Elastic Stack, a product of Elastic

91

EventHub

92

GitHub

93

GitHub Copilot, a product of GitHub

95

Splunk AI Token and Cost Monitoring

96

Influxdata

144

InfluxDB, a product of Influxdata

97

98

99

100

101

102

103SSentry

104

Sentry AI

105

Sentry · sentry.io

163

Sentry AI Observability, a product of Sentry

107

Tableau

171

Tableau Agent, a product of Tableau

108

109

110

115

116

117

118

119

120

Google Cloud Gemini Enterprise Agent Platform

121

Google Cloud Observability

122

123

125

128

129

130

131

132GGemini for BigQuery

133

Maxim AI

134

tokentop

135GGPT-5.6

136GGPT-X

137

Grafana Agent

138

Grafana Loki

139

Grafana Tempo

141GGuild

142HHaiku

143

Hugging Face Text Generation Inference

145

Jarvis Registry

147LLangfuse Cost Tracking

148

149

150

151

152

153

OpenSearch Project Observability

154

OneUptime

155

Oobeya

158

OpenClaw

159

OpenSearch Observability

160

Tokencost

161

Python

162

Ramp AI Token Spend Management

164SSplunk AppDynamics for AI

166

167

168

169

170

172

173TTally

174

176

177

178

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Recommendations by AI engine

Mentioned in · Jul 5 – Oct 13, 2026

LangfuseChatGPT Search49%Google AI Mode61%
GrafanaChatGPT Search50%Google AI Mode33%
OpenTelemetryChatGPT Search55%Google AI Mode25%
PrometheusChatGPT Search41%Google AI Mode39%
Grafana OSSChatGPT Search20%Google AI Mode36%

Questions and answers

I need a dashboard to monitor "token burn rate" across all my internal AI apps.
I'm looking for a way to visualize the token burn rate across our entire suite of internal AI tools. Do you have any recommendations?
How can I monitor the token usage speed for multiple internal AI apps using a single dashboard?

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Questions and answers

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