Compare

Most tools show you
one signal.

errorgap correlates errors, logs, transactions, uptime checks, deploys, and host signals into a single incident, then ranks a likely cause and shows the evidence behind it. This page compares that approach against the categories of tool it replaces or sits beside — by capability, not by brand.

vs. standalone error trackers

An error is one signal.
An incident needs five.

Error trackers stop at the exception. errorgap keeps the exception and correlates it with the logs around it, the transaction that slowed, the check that failed, and the deploy that shipped — then names a likely cause and ranks it.

  • Same grouping and stack-frame quality you expect from a tracker
  • Plus logs, APM, uptime, and deploys on the same incident object
  • A ranked likely cause, with the evidence it was derived from
See Incident Intelligence →
Errorsgrouped by fingerprint
Logsagent-streamed
Transactionsper-route timing
Uptime checksevery 10s
Deploysrelease markers
One incidentLikely cause, ranked — with its evidence attached.
vs. full observability suites

Correlation without the rollout.

Suites can correlate too, once you have finished the migration, agreed the seat count, and standardised the collector. errorgap is one JSON envelope and a key. You pay for captured events, not for the people who look at them.

  • Priced per captured event — seats are unlimited and free
  • Install in minutes: one endpoint, one envelope format
  • 20+ SDKs, plus a plain HTTP API for anything not covered
See pricing →
Pricing unit
captured event
Seat cost
none — unlimited users
Time to first error
minutes
Wire format
one JSON envelope
SDKs
20+ · plus HTTP API
Collector to operate
none
Past your quota
repeats sampled, never billed
vs. log platforms

Logs as evidence, not as a search box.

A query language is only useful once you know what to query. errorgap attaches the log window around a failure to the incident itself — duplicates grouped, timestamps stripped — so the relevant lines are already on the page.

  • The log window around each error, attached automatically
  • Aggregate view collapses 412 identical lines into one
  • Full stream, list, and aggregate views when you do want to dig
See Live logs →
IncidentTypeError · checkout.submit
14:02:11 web.1 POST /checkout/submit
14:02:11 web.1 pool: acquiring connection (waiters=18)
14:02:12 web.1 timeout after 5000ms · pool exhausted
14:02:12 web.1 TypeError: cannot read 'id' of undefined
14:02:12 web.1 status=500 duration=5031ms
Log window attached to the incident · 5 of 1,204 lines shown
vs. uptime-only monitors

A failed check that explains itself.

Knowing the endpoint is down is the first thirty seconds of the job. When an errorgap check fails, it opens an incident that already carries the errors firing behind it and the release that preceded them.

  • HTTP(S), TCP, and ping checks on a 10-second sweep
  • Consecutive failures open and close incidents automatically
  • 90-day availability timeline per monitor
See Uptime monitoring →
01

Check fails

api.example.com/health returns 503 twice in a row.

02

Incident opens

Severity critical. No one has to acknowledge a page first.

03

Evidence attaches

The 4,100 errors firing behind the check, and release v2.14.0 from 11 minutes earlier.

04

Likely cause ranked

“Connection pool exhausted after v2.14.0” — with the frames and log lines it was read from.

vs. server security scanners

Findings on the same timeline as your errors.

A scanner gives you a report. errorgap reads the same things from the agent you already run for logs and metrics, and puts each finding, sign-in and file change on the incident timeline next to the errors and deploys around it.

  • One agent for logs, metrics and security
  • Findings with the fix command for your distro
  • Sign-ins and file changes linked to nearby deploys
See Security →
CHANGE/etc/ssh/sshd_config · web-114:02
Password sign-in was turned back on for SSH.
38PermitRootLogin no
39−PasswordAuthentication no
39+PasswordAuthentication yes
40PubkeyAuthentication yes
52+# token •••• masked on host
Possibly related
Capability matrix

What each category actually covers.

Typical coverage per category of tool. Individual products vary; where a category commonly ships a partial or add-on version of a capability, it is marked as partial.

errorgap capability coverage compared with error trackers, APM suites, log platforms, and uptime monitors
CapabilityerrorgapError trackerAPM suiteLog platformUptime monitor
Correlated incidents across signalsIncludedNot offeredpartialNot offeredNot offered
Ranked likely cause with evidenceIncludedNot offeredNot offeredNot offeredNot offered
AI explanations of errors and incidentsIncludedpartialpartialNot offeredNot offered
Error grouping and stack framesIncludedIncludedpartialNot offeredNot offered
Live log streamingIncludedNot offeredpartialIncludedNot offered
Uptime checksIncludedNot offeredpartialNot offeredIncluded
Per-transaction timing (APM)IncludedNot offeredIncludedNot offeredNot offered
Distributed tracing across servicespartialNot offeredIncludedNot offeredNot offered
Host and container metricsIncludedNot offeredIncludedpartialNot offered
Server security posture (sign-ins, hardening, vulnerabilities, ports)IncludedNot offeredpartialNot offeredNot offered
Session replayIncludedpartialpartialNot offeredNot offered
Custom metrics and dashboardsNot offeredNot offeredIncludedpartialNot offered
MCP access for AI agentsIncludedNot offeredNot offeredNot offeredNot offered
Pricing modelper eventper eventper host + seatper GB ingestedper monitor
Time to first signalminutesminutesdayshoursminutes
✓ included— not offeredpartial · common as an add-on or a subset
Limitations

What errorgap doesn’t do.

Four things it is worth knowing before you start a trial.

errorgap is a managed service.

We run it, you send events. There is no collector to keep alive — which also means the data sits with us, under the terms on our Trust page.

It is not a metrics warehouse.

No custom metric ingestion, no PromQL, no long-range business dashboards. errorgap watches failures. Send your revenue graphs somewhere else.

Tracing is request-level, not a span graph.

Errors and APM transactions share a transaction ID, and browser requests carry a trace header to your server, so you can follow one request across the two. There’s no service map or span graph stitched across a dozen services; an observability suite is the right tool for that.

It is not an EDR.

errorgap watches host security posture and sign-ins and tells you how to fix things. It doesn’t block attacks or quarantine files.

Close the errorgap.

Start free, no credit card. Turn scattered production signals into one investigable incident in under five minutes. Cancel anytime, keep your data.