ClawTrace
Observability and optimization for OpenClaw agents – track failures, costs, and improvements.
ClawTrace is essential if you run OpenClaw agents in production. Tracy's conversational debugging is a standout, but the tool is useless outside the OpenClaw ecosystem. The usage-based pricing is fair – no per-seat fees – just remember you'll pay for every query and storage. For OpenClaw teams, it's a no-brainer; for anyone else, wait for broader framework support.
Verified 3d ago · liveness 59/100 · cite: rightaichoice.com/tools/clawtrace
- OpenClaw agent developers debugging production failures
- Teams optimizing cost and token usage in agent workflows
- Operators monitoring autonomous multi-step agent systems
- Platform engineers building self-evolving agent pipelines
- Teams using non-OpenClaw agent frameworks
- Users seeking free unlimited observability
- Beginners wanting a no-setup observability tool
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Skip ClawTrace if you aren't running OpenClaw agents, need on-prem hosting, or want unlimited free observability.
Going past the free 100 credits requires buying credits for storage and queries, which adds up at high agent volume.
For OpenClaw teams, ClawTrace's usage-based pricing is transparent and scales with actual use – no seat fees, so it's cheaper than per-seat observability tools like Datadog for small teams. However, heavy users may pay more than flat-rate alternatives, and it's not competitive for teams not on OpenClaw.
In short
ClawTrace — Observability and optimization for OpenClaw agents – track failures, costs, and improvements. Best for OpenClaw agent developers debugging production failures, Teams optimizing cost and token usage in agent workflows, Operators monitoring autonomous multi-step agent systems. Free to start; paid plans from $100/mo.
What people actually say about ClawTrace — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
4 mentions across 2 sources (Hacker News, Product Hunt) · researched Jul 3, 2026.
- +Automatic capture of every LLM call, tool use, and sub-agent step.
- +Interactive trace trees with full payload visibility for debugging.
- +Tracy doctor agent answers natural-language questions about failures and costs.
- +Per-step cost attribution using model-specific pricing data.
- +Credits-based billing avoids per-seat fees for large teams.
- −Only works with OpenClaw – no support for other agent frameworks.
- −Almost no independent community feedback yet; all buzz from creator.
- −Self-improve and A/B testing features are still on roadmap.
- −Credit usage can be opaque and may surprise heavy users.
- −No free tier beyond basic trial – pricing feels risky for trial.
- • Credit consumption for stored trajectories is not explicitly spelled out per agent run
- • Large-scale queries may drain credits faster than expected
Viability Score
How well maintained and how widely used is ClawTrace? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Automatic trajectory capture for every OpenClaw agent run
- Interactive trace tree with LLM calls, tool use, and sub-agent payloads
- Call graph visualization of agent-tool-model relationships
- Timeline Gantt chart to spot bottlenecks and parallelism
- Trajectory dashboard with metrics, daily trends, and token usage
- Tracy doctor agent – natural-language Q&A about failures and costs
- Per-step cost attribution with model-specific pricing
- Error flagging and efficiency scoring
- Live data queries without stale dashboards
- Conversation memory with Tracy for follow-up questions
- OpenClaw plugin integration installable via CLI
- Credits-based usage billing with no seat commitments
- Rubric-based evaluation (roadmap)
- A/B testing for agent variants (roadmap)
- Version control for agent configs (roadmap)
About ClawTrace
ClawTrace is a dedicated observability and optimization platform for OpenClaw AI agents. It automatically captures every trajectory – each LLM call, tool use, sub-agent delegation, and associated cost – and surfaces actionable insights through a conversational doctor agent named Tracy. Built for teams running production autonomous agents, ClawTrace replaces guesswork with live data, showing exactly what failed, where spend leaked, and how to improve reliability and efficiency. The product works in three stages: Observe, Recommend, and Safe Self-Improve. Currently at the Observe and Recommend stages, ClawTrace provides full-stack visibility via interactive trace trees, call graphs, timeline charts, and a trajectory dashboard. Tracy answers natural-language questions like 'Why did this run fail?' or 'How can I reduce costs?' using live data. ClawTrace differentiates itself through deep integration with OpenClaw, requiring only a plugin install and authentication key. Pricing is usage-based via credits, with no seat-based subscriptions – you buy credits for storage and queries. The roadmap includes rubric-based evaluation, A/B testing, version control, and self-evolving agents that learn from trajectory data.
Behind the Verdict
ClawTrace fills a critical niche: observability for OpenClaw agents. OpenClaw is a framework for autonomous agents, and as agents run more complex workflows, teams need visibility into what's happening. ClawTrace provides that with automatic trajectory capture, trace trees, and cost attribution. The highlight is Tracy, a conversational agent that lets you ask 'Why did this fail?' and get contextual, data-driven answers. This is a powerful way to debug without diving into raw logs. However, ClawTrace is tightly coupled to OpenClaw. If you're using LangGraph, CrewAI, or another framework, you're out of luck. The pricing is usage-based – you buy credits for storage and queries, which is flexible but can get expensive if you have heavy usage. There's a free tier with 100 credits, but you'll likely need to buy more soon. The roadmap is ambitious: rubric-based evaluation, A/B testing, version control, and self-evolving agents. These will make it even more valuable, but they're not available yet. For now, it's an observability tool, not an optimization tool. Overall, if you're serious about running OpenClaw agents in production, ClawTrace is worth trying. It's the kind of tool that pays for itself by preventing costly failures and optimizing spend. If you're not on OpenClaw, it's not for you yet.
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Real-world workflow fit
Concrete scenarios for the personas ClawTrace actually fits — and what changes day-one when you adopt it.
You just connected ClawTrace to your OpenClaw agent and want to debug a recent failure.
Outcome: You see the trace tree, ask Tracy 'Why did this run fail?', get a root-cause answer, and fix the issue within minutes.
You're cost-optimizing a fleet of OpenClaw agents.
Outcome: You review the trajectory dashboard, identify expensive steps, and ask Tracy for recommendations to cut costs, leading to lower spend per run.
You're monitoring daily agent performance trends.
Outcome: You use the trajectory dashboard to spot anomalies and efficiency scores, allowing you to proactively address issues before they impact production.
Use Cases
- Identify root cause of agent failures by querying Tracy with natural language
- Optimize agent costs by pinpointing expensive LLM calls and substituting cheaper tiers
- Debug multi-step workflow bottlenecks using the timeline Gantt view
- Monitor daily agent performance trends and token usage from the trajectory dashboard
- Audit agent behavior changes over time with live trajectory data
- Improve agent reliability by scriptifying deterministic tool calls and reducing loops
Limitations
- ClawTrace is specifically designed for OpenClaw agents and requires the OpenClaw plugin, so it may not support other AI frameworks.
- The product is currently in the 'Observe' stage; advanced features like rubric-based evaluation, A/B testing, and safe self-improve are on the roadmap but not yet available.
- Billing is credits-based, which may become costly with high usage.
as of 2026-08-25
Verification history
We have re-verified ClawTrace 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
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Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published ClawTrace tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0 (100 free credits on signup)
Ideal for
Solo developers or small teams evaluating ClawTrace with low-volume OpenClaw agents; enough credits to get a feel for tracing and Tracy.
What this tier adds
Starting tier: 100 free credits on signup, no credit card required, full feature access within credit limit.
Pay-as-you-go
Usage-based (credit rates apply)
Ideal for
Teams with production OpenClaw agents that need to scale observability beyond the free credits.
What this tier adds
Adds usage-based rates for storage (1.35 credits/MB/day), queries, and Tracy tokens – no seat fees, no minimum commitment.
Where the pricing makes sense
The company stage and team size where ClawTrace's pricing actually pencils out — and where peers do it cheaper.
For OpenClaw teams, ClawTrace's usage-based pricing is transparent and scales with actual use – no seat fees, so it's cheaper than per-seat observability tools like Datadog for small teams. However, heavy users may pay more than flat-rate alternatives, and it's not competitive for teams not on OpenClaw.
Setup time & first value
How long it actually takes to get something useful out of ClawTrace — broken out by persona, not the marketing-page minute.
Setup takes under 10 minutes per agent: install the plugin, authenticate with an observe key, and restart the gateway. Tracy is immediately usable for queries once your first trajectories stream in.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with ClawTrace
Common stack mates teams adopt alongside ClawTrace, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Clawtrace vs Spider Cloud
Choose Spider Cloud if you need fast, cheap web data for AI agents or RAG; it offers broad integrations and a rich feature set. Choose ClawTrace only if you use OpenClaw agents and need deep observability into their failures and costs. They serve fundamentally different needs and are not direct competitors.
Clawtrace vs Temporal Ai
Choose Temporal if you need a durable execution platform for reliable AI agents and workflows across multiple frameworks. Choose ClawTrace only if you're locked into OpenClaw and need deep per-step cost and failure observability. Temporal is far more versatile; ClawTrace is a niche debugging tool.
Clawtrace vs Presto Voice
Choose Presto Voice if you operate a QSR drive-thru chain seeking proven revenue lift through voice AI automation and upselling. Choose ClawTrace if you develop OpenClaw agents and need deep observability into failures, costs, and performance. They are not competitors; they serve entirely different domains.
Alternatives to ClawTrace
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Opik (Comet)
Free, open-source AI observability and evals for debugging agents
Frequently Asked Questions
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