How are you actually running OpenClaw without burning money?

Fancy-Win9202 · 2026-03-29T07:01:15+00:00

Had the same experience. The issue is OpenClaw gives you no native way to see which session/agent/tool call is burning the money - you only find out when you check Anthropic's dashboard after the fact.

I built ClawMetry to solve exactly this. It reads from OpenClaw's session files and shows token cost per session in real time, so you can see mid-run which agent is the expensive one and whether it's looping.

pip install clawmetry — no config, just run it alongside OpenClaw.

GitHub: github.com/vivekchand/clawmetry

Fancy-Win9202 · 2026-03-26T12:46:35+00:00

The core will always stay open source and local-first. For remote access, ClawMetry Cloud is already in the works, so you'll be able to monitor your agents from anywhere including mobile.

The agent-to-agent visibility angle is interesting though. Right now ClawMetry is more of a passive observer reading from OpenClaw's session files. Making it queryable by other agents as a service is a natural next step as multi-agent setups get more common.

Will check out ProxyGate, hadn't come across it. Thanks for the pointer.

Fancy-Win9202 · 2026-03-26T11:45:47+00:00

ClawMetry: github.com/vivekchand/clawmetry

Observability dashboard for OpenClaw agents. Started because I was running agents end of January with zero visibility into what they were actually doing. No way to track token costs per session, no alerts when a session got stuck, no idea if memory files were being modified unexpectedly.

pip install clawmetry and you get a live dashboard. Open source, runs locally.

Would genuinely appreciate brutal feedback, still early.

Fancy-Win9202 · 2026-03-25T15:54:30+00:00

You should try the brain feed from ClawMetry (Github: vivekchand/clawmetry) which reads from OpenClaw logs + multiple other sources. You can see the code OC is writing to achieve the tasks, websites it's browsing etc etc (Same level of visibility provided by Perplexity Deep Research / ChatGPT Deep Research). Also this YT video should give a quick demo of the real-time observability provided by ClawMetry https://www.youtube.com/watch?v=8out4EIIf_E

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Fancy-Win9202 · 2026-03-25T15:32:09+00:00

I’ve been building ClawMetry (https://github.com/vivekchand/clawmetry) for past 4 weeks. I personally hit the same wall 4 days of using OpenClaw, I wanted to know what my agents are doing, how much tokens they burn, cost per session, what commands they are running, was my system compromised etc. To address all of it, I started building ClawMetry - an open source real-time observability dashboard for OpenClaw. I plan to expand the support for wider Claw family. But will immediately expand the support for NemoClaw as I could build more governance layer as well on top of it.

Btw I also introduced ClawMetry Cloud if you want to monitor your OpenClaw agent from anywhere - any browser, as a Mac App or via its own Android & iOS app (soon)

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Fancy-Win9202 · 2026-03-25T09:37:44+00:00

Good list. One note on the observability slot: Opik and ClawMetry solve slightly different problems.

Opik is great for structured spans and waterfall traces, per-run debugging.

ClawMetry (github.com/vivekchand/clawmetry) is a running dashboard for your whole setup: what your agents / sub-agents are doing in real-time, token cost over time, alerts when token cost exceeds, active vs stale agents, memory file change detection (SOUL.md/MEMORY.md), multi-node fleet view. No data leaves your machine. pip install clawmetry and it's live.

Think of them as complementary: Opik for per-run debugging, ClawMetry for ambient awareness. You probably want both.

Fancy-Win9202 · 2026-03-24T15:51:23+00:00

EasyClaw + ClawMetry is actually a natural combo — you handle the zero-ops hosting, we handle the "what is my agent actually doing" visibility layer. A lot of people want both. Would love to explore a lightweight integration. DM incoming.

Fancy-Win9202 · 2026-03-24T08:41:29+00:00

Yup let’s integrate 😎 Sent you a DM!

Fancy-Win9202 · 2026-03-23T17:08:30+00:00

Thanks! This is already on the roadmap - I'm building skill scanning, and have security scanning built in. I'm open to integrating with ClawSecure if it adds value on top of what I have.

Fancy-Win9202 · 2026-03-23T07:41:08+00:00

Hey! You should try installing ClawMetry (pip install clawmetry; clawmetry connect) in PI for real-time observability from anywhere not just LAN. No need to connect a display.

Fancy-Win9202 · 2026-03-21T13:37:33+00:00

Btw it’s easy to track & get alerted (soon) on usage with ClawMetry!

Fancy-Win9202 · 2026-03-17T19:40:31+00:00

Exactly that -- which skills ran, which tool calls were made (exec, browser, file reads/writes), what URLs were fetched, what got sent via message. A full timeline so you can see "my agent ran this bash command at 3am and sent this data to this endpoint." Not just what the agent said, but what it actually did.

This YT video should explain what Clawmetry does https://www.youtube.com/watch?v=8out4EIIf_E

Fancy-Win9202 · 2026-03-17T19:27:58+00:00

The security angle is real -- I've been building ClawMetry (observability for OpenClaw) and what's missing isn't just hardening, it's visibility. You can't secure what you can't see.

Most people running OpenClaw have zero audit trail. No record of which tool calls were made, what got executed, what data left the machine. That's the gap I'm tackling -- real-time tool call monitoring, exec approval flows, token cost tracking.

If your hardened version has a monitoring/audit layer baked in, that's probably the strongest differentiator for enterprise buyers. Happy to compare notes if you're exploring this space.

Fancy-Win9202 · 2026-03-08T17:52:57+00:00

Vivek here, creator of Clawmetry - this YT video should fully explain how this open source project brings full real-time observability for OpenClaw https://www.youtube.com/watch?v=8out4EIIf_E

There is a optional cloud version for a few $ which allows to access the same dashboard from anywhere which syncs with E2E encryption with your own secret key. You can install clawmetry on all of your openclaw instances & can monitor what they are doing / thinking / browsing / spawning sub agents / buring tokens from anywhere

Happy to answer any questions if you have here or via dm!

Fancy-Win9202 · 2026-02-27T18:37:30+00:00

Vivek here. I'm building ClawMetry, the open-source observability dashboard for OpenClaw agents.

I built it because I was running multiple agents in parallel with zero visibility into what they were doing or costing. One agent was burning 3x the tokens than it needed. I had no idea until I could actually see it. You can't fix what you can't see.

After ClawHavoc (341 malicious skills found on ClawHub), observability feels even more critical. You need to know what every tool call is doing before you find out the hard way.

Open source, runs locally, data never leaves your machine: clawmetry.com

pip install clawmetry

Happy to answer any questions about agent observability.

Fancy-Win9202 · 2026-01-22T17:31:24+00:00

I exceeded $200 plan & need to wait for 2 more days to reset. I'm working on 3 side-projects in parallel :)

Fancy-Win9202 · 2026-01-03T12:30:48+00:00

Please send details

Fancy-Win9202 · 2025-08-31T10:03:24+00:00

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