Probe0 vs CloudZero
CloudZero reads your bills after the money is gone and tells you, with real accounting rigour, exactly where it went across your whole cloud estate. Probe0 sits in the request path on your laptop and stops some of those requests from being billed at all.
A hosted cloud cost intelligence platform that ingests billing and usage data from cloud, SaaS and LLM providers and allocates all of it to teams, products, features and customers.
| Feature | Probe0 | CloudZero | Edge |
|---|---|---|---|
| Cost accuracy against the invoice | Locally computed price-table estimate per call | Provider billing APIs, so it reconciles with the invoice including credits and discounts | Competitor |
| Position relative to the request | In the path, can change or block a call | Read-only, after the fact | Probe0 |
| When a budget runs out | Hard cap per run and per day: warns, then pauses | Forecasts and threshold alerts to email or Slack | Probe0 |
| Response caching | Exact cache on local disk, hits never touch the network | None; reads provider cache-token metrics only | Probe0 |
| Model routing | Local Ollama or LM Studio first, then tiering to a cheap cloud model | No routing or fallback | Probe0 |
| Attribution on a developer machine | Ledger names the process behind every call | Model, workspace and API key from the billing API | Probe0 |
| Where your usage data sits | Local disk only, no Probe0 server exists | Hosted SaaS, cost and usage metadata shipped to them | Probe0 |
| Judging whether a control worked | Each module toggles alone and reports what it saved | Anomaly detection over the aggregate bill | Probe0 |
| Setup for one developer | One proxy plus a certificate covers Claude Code, Codex, Cursor | Quote-only annual contract, free trial available | Probe0 |
CloudZero's flagship strength is accounting: it connects through a read-only IAM role, ingests the provider's own cost and usage data, and produces numbers that tie out to the invoice including taxes, credits and commitments. For a developer running coding agents on a Mac, my view is that the reconciled number arrives too late to matter, because the money is already spent by the time anyone opens a dashboard. Probe0 works on the other side of that line. It installs as one local proxy with one certificate, and from then on Claude Code, Codex and Cursor route through it with no per-tool configuration. Exact Cache serves repeat calls off local disk without touching the network, Local Routing hands work to a model already loaded in Ollama or LM Studio and retries weak answers on the cloud, Model Tiering starts cheap and escalates only when needed, and Request Coalescing collapses simultaneous identical calls into one upstream request.
CloudZero never touches the request. It cannot serve a cached response, downgrade a call to a cheaper tier, or refuse a call once a budget is spent, so its budgets resolve to a projection and an alert and the enforcement mechanism is a person reading Slack. That is the right design for a company-wide allocation layer and the wrong shape for an agent looping on a refactor at three in the morning. Probe0 Spend Guard holds a hard cap per run and per day: it warns, then it actually pauses. Recording keeps a full local ledger of model, tokens, real cost, latency and which process made each call, so a runaway is traceable to the CLI that caused it, and that same measured usage feeds plan-tier advice when you are paying for a tier above what you use.
The design choices are legible on purpose. Every module switches on and off independently and reports what it saved, so Local Routing, Model Tiering, Exact Cache, Semantic Cache and Request Coalescing each stand on their own numbers rather than a combined headline. The Semantic Cache runs on a local vector index behind a strict similarity floor and refuses to match anything carrying tool calls, because a wrong hit in the middle of an agent run corrupts the run. Cache hits work with the network down. Sign-in is Google or GitHub with no password, and nothing about your traffic leaves the machine, which matters when the request bodies are your source code. The honest limits: macOS only, private beta, single-user, and provider coverage is what coding agents actually call rather than a 100+ provider catalogue.
The verdict
For one developer on macOS whose Claude Code and Codex bill is the problem, buy Probe0. It caches on local disk, routes to a model already running on your machine, and pauses the run at a hard cap instead of emailing you about it, and it does all of that without shipping your request data anywhere. The one situation where CloudZero is the better pick is a finance or platform team allocating cloud and AI spend across an organisation, where numbers that reconcile with the invoice under SSO and audit-grade access control are the whole job. Those teams can run both, and the laptop where the agents actually run is where Probe0 belongs.
Questions
- Is Probe0 a CloudZero alternative?
- Only on the LLM slice, and only for one machine. CloudZero allocates whole-organisation cloud and SaaS spend from authoritative billing data; Probe0 is a local LLM proxy that reduces AI coding agent spend in the request path. If you need cost-per-customer across AWS and Snowflake, Probe0 is not a replacement.
- Can CloudZero stop an AI coding agent from overspending?
- No. CloudZero is read-only and sits outside the request path, so its budgets produce forecasts and alerts rather than enforcement. Probe0 Spend Guard applies a hard cap per run and per day, warning first and then pausing the run.
- Does either tool support local LLM routing?
- Probe0 does: it can send work to a model already running in Ollama or LM Studio, and automatically retries weak answers on the cloud. CloudZero has no inference involvement, so a self-hosted model only appears as the underlying GPU or compute bill.
- Does Probe0 send my usage data anywhere?
- No. Probe0 runs entirely on your machine, the caches and the request ledger live on local disk, and there is no Probe0 server. CloudZero is hosted SaaS, so cost and usage metadata is shipped to their platform by design.