Quick Start

Analyze your first error log in under 60 seconds

1. Create an account

2. Submit your log

From the dashboard, click New Analysis. You have two options:

Drag and drop a log file onto the upload zone.
Paste your stack trace or log content directly into the text area.

3. Click Analyze

Click the ⚡ Analyze Errors button. Analysis typically completes in 5–12 seconds depending on log size.

4. Review results

Results are displayed as prioritized error cards, sorted by severity then occurrence count. Each card shows:

Error type and severity badge
Occurrence count
Description and root cause
Numbered solution steps
Code patch (before/after diff) where applicable
Prevention tip

Supported log formats

ErrorLens analyzes any text-based log content. The format-detection step picks up structure, but the AI is happy with plain text too.

Plain text — .log .txt (the default)
Structured JSON — .json .ndjson (Winston, Pino, Logrus, structlog, Zap)
XML — Log4j appender output, JBoss / WildFly logs
CSV / YAML — spreadsheet exports, K8s events, CI step output
Stack traces — Java, .NET, Python, Ruby, Go panics, Rust, Node, etc.
Kubernetes / Docker container logs, CloudWatch, GCP Cloud Logging, Azure Monitor exports
Nginx / Apache access & error logs
SQL queries (use the dedicated SQL Debug tab on the New Analysis page)

Limits: 100 KB per pasted log on the dashboard, 200 KB per POST /api/connectors/ingest body. Larger logs are automatically truncated to fit the model context window.

Calling the API

API access requires a Starter plan or higher. Generate a key in Settings → API Keys; keys carry the prefix el_live_.

Authentication uses the x-api-key header (not Authorization: Bearer — that's for session tokens).

curl

curl -X POST https://app.errorlens.ai/api/connectors/ingest \
  -H 'Content-Type: application/json' \
  -H 'x-api-key: el_live_your_key_here' \
  -d '{
    "logs":   "ERROR PaymentService NullPointerException at line 42",
    "title":  "Production payment failures",
    "source": "k8s-prod"
  }'

Node.js (fetch)

const res = await fetch('https://app.errorlens.ai/api/connectors/ingest', {
  method:  'POST',
  headers: {
    'Content-Type': 'application/json',
    'x-api-key':    process.env.ERRORLENS_API_KEY,
  },
  body: JSON.stringify({
    logs:   errorLogText,
    title:  'Background worker crash',
    source: 'worker-prod-2',
  }),
});
const { analysisId } = await res.json();

Python (requests)

import os, requests

resp = requests.post(
    'https://app.errorlens.ai/api/connectors/ingest',
    headers={'x-api-key': os.environ['ERRORLENS_API_KEY']},
    json={'logs': error_text, 'title': 'Cron failure', 'source': 'cron-prod'},
    timeout=10,
)
resp.raise_for_status()
analysis_id = resp.json()['analysisId']

All ingest requests are rate-limited at 100/minute per key. The response is 202 Accepted with the new analysisId; configure a Custom Webhook integration to receive the result, or open the analysis in the dashboard.

Browser & device support

Chrome 100+, Firefox 100+, Safari 15+, Edge 100+. Fully responsive — works on iOS 15+, Android 10+, iPadOS 15+. Minimum screen width 320px; 768px+ recommended.

Next steps

Full API Reference — endpoints, request/response schema, webhooks.
Security — encryption, data handling, vulnerability reporting.
Support — docs, community, email, Enterprise support.

Start analyzing →