Most tools stop at the dashboard and leave the last mile to you. Here is the whole path from a production failure to a pull request you review.
We check every minute for slow responses, errors, silence, or downtime, and alert you by email, Slack, or webhook.
Identical failures collapse into a single grouped error with an occurrence count, so triage is a short ranked list of what is actually broken rather than a firehose of one row per request.
One click reads the spans, logs, and metrics behind the failure and names the cause in plain English, with remediation steps. Pay per analysis, only when you ask for one - never automatic, never a background charge.
An error group lands in a queue your own Claude Code or Cursor polls and claims. It investigates from the error and its own traces - queuing never calls AI, so most claims start with no report attached. It finds the code and writes the fix - on your subscription, with your repo access. Owl-24 never touches your code.
The fix arrives as a PR in your repo, like any other. You read it, you merge it, or you throw it away. Nothing reaches production without a human deciding it should.
A small charge (see Pricing) applies once, the first time your agent claims an item. Releasing it instead of fixing it doesn't refund that charge, but the same item is never billed twice. Your agent does the reading, the fixing, and the PR - on your own subscription, with your own repo access. Owl-24 never writes code, never touches git, and never opens a pull request. AI root-cause analysis is a separate, opt-in charge and only ever runs when you click it.
Not a black box - a claim/resolve work queue your own agent talks to. Here's every step, and both ways to connect.
Detect & group
A service starts erroring, and every repeat of that same failure collapses into one error group - the same bug always gets the same fingerprint, so it never floods the queue as separate items.
Queue
One click (or one API/MCP call) adds that fingerprint to the queue. Free, and this step never calls an AI provider - it just marks the group as ready for an agent to pick up.
Claim
Your agent claims the item before working it. A claim expires if the agent goes quiet, so nothing sits locked forever - and a second agent hitting an already-claimed item gets a clear "someone else has this" response, not silent overwrite.
Investigate & fix
The agent reads the trace - spans, logs, the stack trace, the real evidence - then writes the fix in your repo and opens a pull request. It never merges anything - that stays a human decision, always.
Resolve
Once the PR is open, the item is marked resolved with a note naming the PR and the fingerprint. That record is what makes "did this actually stop recurring?" a question with a real answer later, not a guess.
owl24-mcp wraps the same queue as tools Claude Code, Cursor, or any MCP client can call directly. Ask a question in your editor and get an answer, instead of scripting the REST API first. Beta, same as agent access itself.
Cursor and other clients: same npx -y owl24-mcp command over stdio, OWL24_API_KEY in the environment.
> What's breaking in checkout-service?
list_errors({ serviceName: "checkout-service" })
← 1 group: connection pool exhaustion (14 occurrences)
Claiming it and reading the trace now.
claim_error · get_trace
Found it - pool size is hardcoded at 5. Opening a PR that makes it configurable.
resolve_error({ resolutionNote: "#412 - fixes..." })
Every one of these solves a specific, recurring headache with legacy observability tooling - not a checkbox feature.
Beta: queue a broken error and hand it to Claude Code, Cursor, or any coding agent with repo access. It reads the error and its traces, writes a fix, and opens a pull request - on your own subscription, in your own repo, for you to review.
Card numbers, emails, phone numbers, and API/auth secrets are redacted inside the SDK, not after we've already received them - smaller payloads, and less raw sensitive data sitting in a database if a compliance review ever asks where your data goes. It's a compensating control, not a certification - names, addresses, and free-text fields aren't covered; see our Trust page for the exact list. Masking runs inside our SDKs specifically - raw OTLP is still accepted, but reaches us unmasked.
Stop losing long, manual log-diving sessions every time something breaks. One click pins down the exact line, query, or dependency that failed - pay-per-use, never gated behind a $1,000/mo enterprise tier.
Node.js, Python, Go, and Java on the backend, plus a browser SDK for real-user monitoring and an MCP server for Claude Code and Cursor - all open source (MIT), so you can read exactly what runs in your process before installing it. Built on OpenTelemetry under the hood, so none of it feels like a proprietary agent.
One flat base fee per project covering up to 10 service keys and a 10GB shared pool. Need more? Raise Extra Ingestion yourself at $0.25/GB - until you do, ingestion past the pool is refused, never billed automatically.
Latency, throughput, error rate, and open incidents for every service — the same dashboard you land on the moment you sign in.
Interactive preview - mock data
Opening the dashboard automatically in a few seconds - or click Dashboard above.
From one-line instrumentation to a coding agent that turns root causes into pull requests — plus RUM, uptime checks, masking, storage, and team access, built in, not bolted on.
Your own coding agent — Claude Code, Cursor, anything with repo access — works the list. A human always reviews the PR.
p95 latency spike from connection-pool exhaustion on payments-db.
Confidence 92%
8
Services
14
Call Edges
0.6%
Error Rate
Call Relationships
No sales calls, no complex setup. Here's the entire path from creating an account to a root cause your own coding agent can claim and fix.
If you're already on Sentry, the real question below isn't features - it's whose AI does the work and whose judgment it runs on. And if you're running nothing at all right now, this comparison is almost beside the point: five minutes of setup beats however you're debugging production today, full stop.
Sentry's figures checked against their public pricing and docs on September 20, 2026 - re-check before relying on them, pricing pages change.
Worth knowing before you sign up rather than after. If the left column describes you, we would genuinely rather you used something else.
You need SOC 2 or HIPAA on the order form
We don't have them, and we're not going to pretend otherwise. If your procurement process gates on certifications, we will fail that gate today.
You have a dedicated observability team and 200 services
That team wants a query language, SLO burn-rate budgets, and knobs we deliberately did not build. Datadog and Honeycomb are genuinely better at this. Use them.
You want telemetry hoarded for years by default
We keep 14 days and then delete it, on purpose. You can extend per key up to 30 days. Long-horizon retention is not what this is tuned for.
You want the AI to merge fixes on its own
Not a limitation we plan to remove. Your agent proposes a pull request; a human reads it and decides. Nothing reaches production because a model felt confident about it.
Your team ships faster than it reviews
Most of the code in production was written by an agent, and when it breaks the person on call has not read it.
You have no observability at all right now
Not because you do not want it - because every real option cost more than your infra budget or took a week to wire up. This takes one line and five minutes.
A surprise bill would actually hurt
Prepaid wallet, hard stop at zero. No overage, no invoice at the end of the month, no bill that is suddenly ten times last month.
You already live in Claude Code or Cursor
The hand-off lands where you already work, using the agent and subscription you already pay for.
Pick your stack and start monitoring in under 5 minutes.
SDK Library
1. Installation
2. Setup
Heads upUsing Flask or FastAPI? Owl24.init() must run before fastapi/flask is imported ANYWHERE in the process - not just before your own "from fastapi import FastAPI" line. If main.py's first import is some other local module (e.g. an auth helper like cognito.py) that itself imports fastapi, that already counts - the bootstrap has to go before that import, not just before your own. Getting this backwards no longer fails silently: Owl24.init() now detects it and prints a loud warning naming exactly which framework got imported too early.
Notepip install owl24-py alone is enough - every framework/driver instrumentor (Flask, Django, FastAPI, requests, and the DB drivers below) ships as a hard dependency as of 0.1.4, so auto-tracing activates the moment your app uses one. No "[extra]" install flags needed.
Owl-24 runs on a prepaid wallet - you top up first, and ingestion simply stops if your balance ever hits zero. No invoice can ever exceed what you've already put in, a guarantee a postpaid billing model can't make.
Here is exactly what happens to your account from signup through a $0 balance, in order.
Your account starts with a credit already in your wallet - enough to cover your first project's $10/month base fee for about two weeks, plus 5 free AI RCA analyses (a separate allowance, not wallet dollars) to try root-cause analysis for real. You don't enter payment details to get either one, and neither expires on a date - the wallet credit is a balance that gets used, so a quiet project simply lasts longer.
This isn't a separate free perk - it's what your $10/month project base fee already includes: 10GB of pooled ingestion, shared across every key in the project, every calendar month for as long as the project stays active. It doesn't cost anything on top of the base fee, but it also doesn't replace that fee - the project still needs it covered (by your trial credit, then by topping up) to stay active at all.
When you do want more, you top up first (once your trial credit runs out or you need more than the free pool). Your first 5 AI RCA analyses are free and never touch your balance; after that, each use debits your balance instantly at $0.10 - but only once you've made at least one real top-up, so free credit alone can't be stretched into unlimited AI RCA. The base fee, Extra Ingestion, hot retention are all totaled and charged once a night. Either way it all comes out of that same prepaid balance, itemized in your ledger - there is no postpaid bill waiting for you at the end of the month.
Once your balance drops to about 2 days of runway at your current usage rate, you get an email naming the exact date ingestion would stop if you don't top up - not a vague low-balance nag, a real projected date.
If you never top up, new ingestion simply stops - it is never metered as overage and never generates a bill beyond what you already put in. Everything you already collected stays exactly as it was and stays viewable: dashboards, traces, logs, and any AI RCA reports you already ran. Once your 5 free AI RCA analyses are gone, running a new one needs a real top-up first - wallet balance from a signup bonus, referral reward, or admin credit never unlocks it, only an actual payment does.
A top-up reactivates your keys right away, not on a delay - no ticket, no waiting on a support queue. Nothing was deleted while you were paused, so there is nothing to restore.
Professional observability powered by AI root cause analysis.
Start with credit in your wallet. No card, no clock. Includes 5 AI RCA credits.
Draws 10.00GB from the project's pool
No extra ingestion, retention - $0.00/mo beyond the project's base fee
Everything you need to know about the platform.
Message us here if you need customizations or are having problems - we'll get back to you as soon as possible. If you have any suggestions or questions, we're open to those too.