Keywords AI / Respan vs OpenObserve AI Observability

Detailed side-by-side comparison to help you choose the right tool

Keywords AI / Respan

🔴Developer

AI observability

LLM monitoring and gateway platform for AI applications

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Starting Price

$0
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OpenObserve AI Observability

🔴Developer

AI observability

An OpenTelemetry-native observability product for tracing agents, tool calls, and model requests while measuring quality, latency, token use, and cost.

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Starting Price

$0.50/GB ingested + $0.01/GB queried
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Feature Comparison

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FeatureKeywords AI / RespanOpenObserve AI Observability
CategoryAI observabilityAI observability
Pricing Plans3 listed plans3 listed plans
Starting Price$0$0.50/GB ingested + $0.01/GB queried
Key Features
  • • End-to-end agent tracing with prompt, tool call and response context
  • • Evaluation workflows with human review, code checks and LLM judges
  • • Gateway, observability, evaluations and prompt optimization features
  • • Agent and tool-call traces
  • • Live quality scoring
  • • Token, latency and cost attribution

Keywords AI / Respan - Pros & Cons

Pros

  • ✓Free Pro tier includes full platform access, 100k logs, 1k scores, 5 datasets, 2 evaluators and 5 prompts
  • ✓Team tier adds unlimited datasets, evaluators and prompts plus private Slack and SOC 2 report
  • ✓Good provider coverage: OpenAI, Anthropic, OpenRouter, Groq, Fireworks, Together AI, Perplexity, Azure OpenAI and Bedrock
  • ✓Security signals include ISO 27001, SOC 2 and HIPAA references on the fetched page

Cons

  • ✗Branding appears as Respan on fetched pages, so teams should verify the current product/legal name
  • ✗Additional logs are listed at $8 per 100k logs, which can matter for high-volume apps
  • ✗Enterprise items such as HIPAA BAA, custom SLAs and dedicated support require sales

OpenObserve AI Observability - Pros & Cons

Pros

  • ✓Correlates agent traces with infrastructure telemetry
  • ✓Uses OpenTelemetry gen_ai conventions
  • ✓Attributes tokens, latency, and cost
  • ✓Supports cloud and multiple self-hosted models

Cons

  • ✗Requires careful application instrumentation
  • ✗Verbose traces can raise ingestion volume
  • ✗Cloud pricing charges for queried data
  • ✗Self-hosting transfers operational burden

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Review Keywords AI / RespanReview OpenObserve AI Observability