ClawTrace is live · free plan; usage-based paid tier · last verified 26 Oct 2026 · viability monitor
ClawTrace
Observability and optimization for OpenClaw agents — trace failures, attribute cost, and ask Tracy what to fix.
If you run OpenClaw agents in production, ClawTrace is the observability layer you're missing. Tracy's conversational debugging and per-step cost attribution are the standouts — you get root-cause answers from live trace data instead of guessing which LLM call blew up the run. The catch is scope: this is an OpenClaw-only tool, so it does nothing for LangGraph, CrewAI, or AutoGen stacks. Roadmap items like A/B testing, rubric evaluation, and version control aren't shipped yet, so you're buying an Observe-and-Recommend tool today, not a full agent-eval suite. For OpenClaw teams, it's a clear yes; for everyone else, it's worth watching but not adopting.
Verdict generatedVerified 4d ago · liveness 57/100 · cite: rightaichoice.com/tools/clawtrace
- OpenClaw agent developers debugging production failures
- Teams trying to cut token and model spend on agent workflows
- Operators monitoring autonomous multi-step agent systems
- Platform engineers building agent pipelines and cost controls
- Teams running non-OpenClaw agent frameworks
- Users who need a zero-install observability tool
- Buyers who need A/B testing, rubric evals, or version control today
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- Real pros & cons from real users
- Attributed quotes with receipts
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Skip ClawTrace if your agents run on anything other than OpenClaw, or if you need A/B testing, rubric-based evaluation, or config version control shipping today rather than on a roadmap.
Storage is billed continuously at 1.35 credits per MB per day, so long-retained trajectory history keeps costing you even when nobody is looking at it
Credit pricing fits small-to-mid OpenClaw teams: no seat fees and no minimum commitment means a solo developer or a two-person platform team can start on 100 free credits and only pay for storage and queries they actually use. At high agent traffic with frequent Tracy conversations, costs scale linearly and can rival a mid-tier seat subscription — so organizations running hundreds of daily runs should budget for it rather than treat it as free-tier tooling.
In short
ClawTrace — Observability and optimization for OpenClaw agents — trace failures, attribute cost, and ask Tracy what to fix. Best for OpenClaw agent developers debugging production failures, Teams trying to cut token and model spend on agent workflows, Operators monitoring autonomous multi-step agent systems. Free to start; it also has paid plans whose price we could not confirm — see the pricing table.
What is ClawTrace?
ClawTrace — Observability and optimization for OpenClaw agents — trace failures, attribute cost, and ask Tracy what to fix. Best for OpenClaw agent developers debugging production failures, Teams trying to cut token and model spend on agent workflows, Operators monitoring autonomous multi-step agent systems. Free to start; it also has paid plans whose price we could not confirm — see the pricing table.
ClawTrace is an observability and optimization platform built specifically for OpenClaw AI agents. Install the ClawTrace plugin on your OpenClaw agent, authenticate with your observe key, restart the gateway, and every trajectory starts streaming in automatically — each LLM call, tool execution, sub-agent delegation, and its associated cost. The product is organized around three moves: Better, Cheaper, Faster. You get an interactive trace tree with full payloads, a call graph showing how agents, tools, and models relate, a Gantt-style timeline for spotting bottlenecks and parallelism, and a trajectory dashboard with metrics, daily trends, token usage, and run-level drilldown. On top of that sits Tracy, a conversational 'doctor agent' for your OpenClaw. Ask 'Why did this run fail?' or 'How can I reduce costs?' and Tracy answers from live data, adapts to the page you're on, and remembers the conversation for follow-ups. ClawTrace is aimed at teams running autonomous multi-step agents in production: agent developers debugging failures, platform engineers watching token spend, and operators who want fewer repeated mistakes. The vendor roadmap lists rubric-based evaluation, A/B testing for agent variants, config version control, and self-evolving agents — the Observe stage is live today, with Recommend partially in place. Pricing is credit-based rather than per-seat, with 100 free credits on signup and usage rates for storage and queries.
Key features
- Automatic trajectory capture for every OpenClaw agent run
- Interactive trace tree showing LLM calls, tool use, and sub-agent delegations with full payloads
- Call graph visualization of agent, tool, and model relationships across a trajectory
- Timeline Gantt chart to spot bottlenecks, parallelism, and wasted wait time
- Trajectory dashboard with metrics, daily trends, token usage, and run-level drilldown
- Tracy doctor agent for natural-language Q&A about failures, bottlenecks, and costs
- Tracy conversation memory for natural follow-up questions
- Per-step cost attribution with model-specific pricing
- Error flagging and efficiency scoring to cut Mean Time to Resolution
- Live data queries instead of stale dashboards or report refreshes
- Page-aware context so Tracy scopes answers to the agent or trajectory you're viewing
- OpenClaw plugin installable via CLI (openclaw plugins install @epsilla/clawtrace)
- Credits-based usage billing with no seat subscriptions and no minimum commitment
- Rubric-based evaluation with auto-scoring (roadmap)
- A/B testing of agent variants with cost, quality, and speed comparison (roadmap)
Our long-form take written Jul 14, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Limitations
- ClawTrace is an OpenClaw-only tool.
- It works by installing the ClawTrace plugin on your OpenClaw agent, so agent platforms built on other frameworks are out of scope.
- The vendor's own documentation puts the product in the Observe stage today, with Recommend partially delivered through Tracy; rubric-based evaluation, A/B testing, version control, and safe self-improve are explicitly roadmap items, not shipping features.
- That means teams needing evaluation or experiment tooling right now will not find it here.
- Billing is credit-based — storage at 1.35 credits/MB/day, list-trajectories at 0.50 credits/query, trajectory-detail at 0.20 credits/query, and Tracy usage at 0.50 credits per 1k input tokens and 2.50 credits per 1k output tokens — and the vendor acknowledges this can become costly at high usage.
- There is no seat-based subscription and no minimum commitment, which cuts both ways: low overhead to start, but every query and every stored megabyte is metered.
as of 2026-09-23
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Is ClawTrace still active?
ClawTrace is live · free plan; usage-based paid tier · last verified 26 Oct 2026 · viability monitor.
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: October 2026
How we score →What do users say about ClawTrace?
What people actually say about ClawTrace — is it worth it?
We scanned public community sources for ClawTrace on Oct 20, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 2 of the posts we fetched could be positively tied to ClawTrace. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
How we verified this
Every listed fact about ClawTrace— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 26 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified ClawTrace 11 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.
- — changed SSL certificate
- — changed description, our verdict, features, hidden costs, use cases, limitations, switching in, switching out, who should skip it, pricing tiers, pricing fit, setup time, summary, who it suits
- — changed domain expiry, SSL certificate
- — changed limitations
- — changed pricing page
- — changed who should skip it, hidden costs, pricing fit, setup time, SSL certificate
Showing the 6 most recent of 11 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does ClawTrace cost in 2026?
ClawTrace: Free to start; it also has paid plans whose price we could not confirm — see the pricing table. Pricing last verified 26 Oct 2026.
Plans compared
Every published ClawTrace tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | FreeVendor: “$0 (100 free credits on signup)” | — | A solo OpenClaw developer or a small team testing whether trajectory-level observability is worth adopting, with no credit card required to startAdds: Starting tier — 100 free credits to evaluate every feature (traces, call graph, timeline, Tracy) inside the credit limit |
| Pay-as-you-go | Usage-basedVendor: “Usage-based (credit rates apply)” | usage | Production OpenClaw teams with steady or spiky agent traffic who want observability without per-seat commitmentsAdds: Moves past the free credit grant into metered usage: 1.35 credits/MB/day storage, 0.50 credits per list query, 0.20 per detail query, and Tracy at 0.50/2.50 credits per 1k input/output tokens |
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.
Where the pricing makes sense
The company stage and team size where ClawTrace's pricing actually pencils out — and where peers do it cheaper.
Credit pricing fits small-to-mid OpenClaw teams: no seat fees and no minimum commitment means a solo developer or a two-person platform team can start on 100 free credits and only pay for storage and queries they actually use. At high agent traffic with frequent Tracy conversations, costs scale linearly and can rival a mid-tier seat subscription — so organizations running hundreds of daily runs should budget for it rather than treat it as free-tier tooling.
Has ClawTrace's pricing changed?
No plan price for ClawTrace has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick ClawTrace?
Pick ClawTrace if you are OpenClaw agent developers debugging production failures, Teams trying to cut token and model spend on agent workflows, Operators monitoring autonomous multi-step agent systems, Platform engineers building agent pipelines and cost controls.
Look elsewhere if you are Teams running non-OpenClaw agent frameworks, Users who need a zero-install observability tool, Buyers who need A/B testing, rubric evals, or version control today, Teams requiring on-premise or air-gapped deployment.
Skip it if Skip ClawTrace if your agents run on anything other than OpenClaw, or if you need A/B testing, rubric-based evaluation, or config version control shipping today rather than on a roadmap.
GeneratedReal-world workflow fit
Concrete scenarios for the personas ClawTrace actually fits — and what changes day-one when you adopt it.
A nightly agent run fails intermittently. You open the trajectory dashboard, filter to failing runs, drill into the execution path trace tree, and see the failing harness step. You then ask Tracy 'Why did this run fail?' and she points to the specific span and likely root cause using the live trace payloads.
Outcome: You go from hours of log spelunking to a named failing step and a suggested fix in a single session — the vendor frames this as cutting Mean Time to Resolution from hours to minutes.
Your monthly agent bill spiked. You use per-step cost attribution to see spend by agent run and step, spot the most expensive LLM calls, then ask Tracy how to reduce costs. She recommends downgrading routine tasks to a cheaper model tier.
Outcome: You cut cost without blind model swaps, because you can see the exact step driving the spend before you change anything.
You check the trajectory dashboard weekly for daily trends, token usage, and efficiency scores. When a run starts looping back and forth more than usual, you flag it before it hits a customer-facing workflow.
Outcome: Repeated mistakes get caught at the trend level instead of turning into incidents, and you have a trace record of when behavior changed.
Use cases
- Find the root cause of an agent run failure by asking Tracy why it broke
- Cut agent spend by seeing which LLM calls cost the most and downgrading routine ones
- Debug multi-step workflow slowness using the timeline Gantt view of every step
- Track daily token usage and performance trends from the trajectory dashboard
- Audit how agent behavior changed over time with live trajectory data
- Reduce loops and flakiness by scriptifying deterministic tool calls Tracy identifies
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.
Developer persona: three CLI steps — install the plugin, run the setup command with your observe key, restart the gateway — plus the time for your first trajectories to stream in, typically an afternoon including verification. Platform engineer: same install, plus a short pass to wire it against your existing OpenClaw deployment and confirm costs are attributing correctly. Operator persona: no
Switching to or from ClawTrace
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual log review: install the ClawTrace plugin, then let trajectories stream in and use the trace tree and Tracy to replace reading raw agent logs
- →From scattered dashboards: point your OpenClaw agent at ClawTrace, then consolidate cost and error tracking into the trajectory dashboard's daily trends
- ↗To a general-purpose LLM observability platform: redirect agent traces away from ClawTrace, though you lose OpenClaw-native trace tree, call graph, and Tracy's OpenClaw-scoped recommendations
- ↗To a full agent-eval suite: move once you need A/B testing and rubric scoring that aren't yet shipped, accepting the loss of Tracy's conversational debugging
Integrations
Tutorials & Learning
YouTube returned 6 videos for “ClawTrace”, and we withheld 6: 6 could not be judged, because “ClawTrace” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about ClawTrace.
Official links
What are the best ClawTrace alternatives?
The closest alternatives to ClawTrace we list are Claw Lens, Langfuse and LangSmith. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Claw Lens | Free | Free | — |
| Langfuse | Freemium | Pricing not published | — |
| LangSmith | Freemium | Pricing not published | — |
Alternatives to ClawTrace
View all
Tools that pair well with ClawTrace
Common stack mates teams adopt alongside ClawTrace, with the specific reason each pairing earns its keep.
Claw Lens
Zero-config local dashboard that shows what your OpenClaw agents actually did, what they cost, and whether they leaked secrets
Langfuse
Open-source LLM observability: trace agents, manage prompts, and run evals on one MIT-licensed platform.
LangSmith
LangSmith is agent and LLM observability from the LangChain team: trace, monitor, evaluate, and deploy AI agents.
ClawTrace vs its closest rival
ClawTrace's closest head-to-head is with 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. Verdict generated
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.
GeneratedClawtrace 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.
GeneratedClawtrace 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.
GeneratedFrequently asked questions
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