AI SRE
Investigate production issues, find the cause and open a pull request.
See the AI SRE
Observability data lake and an AI SRE agent, to catch issues and continuously improve production.

“Easy onboarding and they added an integration just for our use case, thanks again! We didn’t have insights into our API load before and this helps very much.”
Sebastian Zwach, Founder of Neorent GmbH
“We had a major incident, and our tech support could see via APItoolkit which third-party integration partner was responsible, and could take action without needing the engineering team’s help.”
Joshua Chinemezum, CEO of Platnova
Why the full request matters
A supplier drops tracking_id but still returns 200 OK. Without the full response, an AI investigation guesses wrong.
POST /v1/shipments · 182 ms
AI: “The supplier returned 200. Check your code.”
Only a sample of 41 failures retained.
AI: “Only a few errors. Probably noise.”
Earlier history lostLast 15 days
AI: “No previous occurrence found.”
Response comparison · api.acme-logistics.com · before / after 07:52
HTTP/1.1 200 OK{ "shipment_id": "shp_7Hk2m9", "status": "acknowledged", "tracking_id": "AX-99812-NG",missing since 07:52 "eta": "2026-10-09"}
With monoscope
“Acme removed tracking_id. All 41 failures started at 07:52.”
monoscope opened the pull request
PR #491 · Fall back when tracking_id is absent
The fix is ready for your review.
Every 5 minutes
“Read the new logs and spans. If anything looks wrong, find the cause.”
Then posts the cause in #oncall
After every deploy
“Compare errors, latency and response shapes with the previous version.”
Then replies in the deploy thread
Every night
“Find the slowest endpoints and queries, and make them faster.”
Then opens a PR with the optimization
Weekdays at 09:00
“Summarize what broke overnight, what’s still open and what’s getting worse.”
Then sends a briefing to Slack
01 · Know what happened
Stop hearing about it from customers. monoscope watches errors, logs, traces and the shape of every request, and tells you first.
The alert reaches Slack, PagerDuty or email with the exact request that failed, not a support ticket.
Missing fields and changed types in any API you serve or call, caught in the response.
New errors, endpoints, request shapes and log patterns, flagged the moment they appear.
Investigate production issues, find the cause and open a pull request.
See the AI SRE
Payloads, telemetry and everything else that explains the failure.
Explore requests and traces
Track latency, traffic and errors on dashboards you keep as code.
View dashboards
Watch the customer’s session and jump to the request behind the error.
See session replay02 · Fix it
Reads the failing request, its trace and recent deploys, then opens a pull request with the fix.
Errors, crashes and regressions get a pull request, with the request that proves it.
Ask why checkout is slower than yesterday. It answers from logs, traces and deploys.
Finds the slowest endpoints and queries, and opens PRs that make them faster.
Ask your agent what broke. It reads production through monoscope.
One binary that gives your terminal, your CI and your agents the same view of production, with stable JSON output for scripts.
curl https://monoscope.tech/install.sh | sh
monoscope logs search 'body has "tracking_id"' --since 6h
Skills for investigating incidents, on-call triage, managing monitors and dashboards, and adding instrumentation, in Claude Code or Codex.
Claude Code
claude plugin marketplace add monoscope-tech/skills
claude plugin install monoscope-skills@monoscope-skills
Codex
npx skills add monoscope-tech/skills -a codex
About 50 tools for Claude Desktop, Cursor or your own agents, using the same API key, with nothing to install.
https://api.monoscope.tech/api/v1/mcp
03 · Prove it
Every request and response is kept, unsampled. Before a pull request merges, monoscope checks it against that record: does it fix the issue, or break something that worked?
duckdb · or the same SQL from any Postgres client
INSTALL delta; LOAD delta;
SELECT timestamp,
attributes___http___request___method AS method,
attributes___url___full AS url,
attributes___http___response___status_code AS status
FROM delta_scan('s3://your-bucket/timefusion/otel_logs_and_spans')
WHERE project_id = 'your-project'
AND date = DATE '2026-09-27'
AND attributes___server___address = 'api.supplier.com'
ORDER BY timestamp;
Every call in and out, with bodies, trace and replay. One customer took it to court.
Shows if a PR fixes the issue or breaks something, from real traffic and past incidents.
Open Delta Lake and Parquet in your S3 bucket, queryable with DuckDB or SQL.
Your data, your bucket, code you can read.
$.password, before any data leaves your app.Side by side
| Datadog | Sentry | AI SRE layersPolylane, Superlog | ||
|---|---|---|---|---|
| Request and response bodies, in and out | Yes, every call, never sampled | Not by default; traces are sampled | No | Only what your telemetry already has |
| Breaking changes in third-party APIs | Yes | Not in public docs | No | No |
| AI sees the full request | Yes | Not by default | No | Only if your telemetry has it |
| AI investigates and opens fix PRs | Yes, built in | Bits AI, priced separately | Seer, a paid add-on | Yes, on top of Datadog or Sentry |
| Pricing |
|
|
|
|
| Open source or your own S3 | Yes, AGPL; S3 from $199/mo | No | Source-available (FSL) | No |
List prices from public pricing pages, September 2026 (Datadog host fee: Infrastructure $15 + APM $31; replays: RUM $0.15 + Session Replay $2.50; monoscope Cloud: $29 a month includes 20M events, then $1 per million; metrics included up to 20M datapoints). — means we couldn’t confirm it. Draft: verify every cell before publishing.
Pricing
Cloud from $29/month. Requests, logs and spans at one price, with no host fees.
20M
Estimated monthly cost · same workload · 30-day retention
Estimates from public list prices, September 2026, annual billing where offered, 30-day retention on every vendor, 2 kB average event, one metric datapoint per series per minute.
Datadog: Infrastructure $15 and APM $31 per host; logs $0.10 per GB ingested plus $2.50 per million indexed; custom metrics $5 per 100 series beyond 100 per host; RUM $0.15 plus Session Replay $2.50 per 1,000 sessions.
Splunk: Observability Cloud App & Infrastructure $60 per host; Splunk Cloud log ingest at about $12.50 per GB/day per month; RUM $14 per 10,000 sessions; custom metrics not modelled.
Sentry: Team $26; spans $1.60 per million beyond 5M; errors at $0.29 per 1,000 assuming 0.5% of events are errors; replays $3.75 per 1,000; no metrics product.
monoscope Cloud: $29 includes 20M events, 20M metric datapoints and 2,000 replay sessions; then $1 per million events, $1 per 10 million metric datapoints and $1 per 1,000 sessions. Everything else is included.
Free forever · 10k events/day, no credit card
Optional: your own S3 bucket, +$199/month
Self-host for free04 · Get started
Let your coding agent set it up, or point any OpenTelemetry exporter at monoscope. 780+ integrations, free up to 10k events a day.
Recommended · about 2 minutes
Ask your agent to instrument the project. It covers HTTP, SQL, queues and jobs, and checks that every route reports in.
npx skills add monoscope-tech/skills
curl https://monoscope.tech/install.sh | sh
Any OpenTelemetry SDK or collector
Set four environment variables. Our SDKs for Node.js, Python, Go, PHP, Java, .NET and Elixir also capture bodies.
OTEL_EXPORTER_OTLP_ENDPOINT="http://otelcol.monoscope.tech:4317"
OTEL_EXPORTER_OTLP_PROTOCOL="grpc"
OTEL_SERVICE_NAME="orders-service"
OTEL_RESOURCE_ATTRIBUTES="x-api-key=YOUR_API_KEY"























Run monoscope next to it for a week or two, compare which errors and API changes each one catches, then move your services over. An engineer from our team can help.
20x
faster MTTR
70%
reduction in manual troubleshooting
3x
faster system recovery
5x
faster incident debug times
9x
less customer support calls
500ms
shaved off improved endpoints
We had a major upgrade planned for our iOS/Android app... After adding monoscope to our laravel app, we could see every new route and request. It gave me and the dev team complete confidence that our users weren’t being affected by our changes.
... became the smoothest and LEAST STRESSFUL rollouts we have ever done. Really an amazing tool and now a permanent part of our workflow. Thank you!!
Lazarus Morrison
Founder of Community Fluency
The best observability tool we use today at Woodcore, monoscope notifies us about any slight change that happens on the system.
Most especially, for the features we utilise today on monoscope, would cost us a lot more elsewhere.
Samuel Joseph
CEO of Woodcore
I fell for monoscope because it integrated effortlessly with my application and provided valuable API insights. Whenever I needed help, the team was always ready to listen and resolve any issues. That’s why we pay for their service.
Odohi David
CTO of Grovepay