Benefits | AI-Powered Mobile & Web Analytics | cc:analytics
What changes when AI is watching your mobile app for you. Measured across the teams that have already shipped with us.
The outcomes our customers actually see
Aggregated across mobile teams running CoolCoding agents for at least one full release cycle.
Five things that change
the week you wire it up
Incidents close before the room fills up
Most mobile incidents go through "first user reports it → triage → bisect → roll back". CoolCoding compresses that to seconds, because the agent already knows which release, which flag, and which cohort.
Talk to usTitle: checkout_v3 rollout caused a 412% spike in iOS crashes
Affected: 1,247 users · iOS 17.4 · build 412 · 12% cohort
Repro: Tap "Pay", any cart > 1 item, expired Apple Pay token
Proposed fix: null-guard CartManager.tokenize()
Bug reports your engineers would actually pick up
The agent writes the title, the repro, the affected cohort, and a proposed fix. Your engineers read it once and start coding, instead of spending the first hour reproducing the problem.
Sample reports in the docsFewer Friday-night pages
Known failure shapes — bad flags, stale tokens, exhausted retries — never page a human. Only novel incidents wake on-call, and they arrive with the report already written.
See guardrailsShip more, freeze less
Every build comes with a real-time release-health card — adoption curve, crash-free %, regression list. The agent catches the bad ones before you've finished rolling out.
Talk to usUse our agent, or bring your own
The schema is the product. Plug in our hosted agent, run an open-source one in your VPC, or wire the typed event stream straight into Claude Agents / LangGraph / your custom stack.
Read the agent APIWhat changes after the API is hooked up
- User support tickets are the first signal something's broken.
- Engineers spend the first hour reproducing the bug.
- Friday-night pages for incidents that could've been auto-rolled-back.
- Release decisions made on yesterday's dashboards.
- Crash-free % stuck wherever your hardest bug parks it.
- The agent flags the issue before the first user finds the support form.
- Reports arrive with stack, scope, repro, and a proposed PR.
- 94% of incidents resolve without a single human page.
- Release health is live; bad builds get caught mid-rollout.
- Crash-free climbs a point or two a quarter — without heroics.
How Keep Safe App cut mobile MTTR from 4h to under 6 minutes
Keep Safe connected CoolCoding to their existing AI agent and their internal release-bot. Within one release cycle, the agent was opening PRs and rolling back bad flags before the product team had finished standup.
Talk to an expertBuilt for technical teams under pressure
If your website or app s in front of millions of customers, an AI agent watching it isn't a luxury.
Consumer apps
High-volume iOS/Android apps where a 2-hour outage shows up as lost revenue by the end of the day.
Fintech & payments
Apps where regulators are watching the incident postmortems and "we got lucky" isn't a fix.
Healthcare
HIPAA-shaped data, PII-aware replays, and audit trails on every agent action by default.
B2B SaaS
Where a regression in a single tenant's flow is a customer-success ticket before lunch.
Live-ops & gaming
Spiky usage, multiple builds in flight, A/B variants everywhere. Exactly the shape the agent is built for.
Startups with one mobile dev
The agent is the second pair of eyes your team can't afford to hire yet.
Get your API key
One API for crash detection, performance monitoring, user-friction signals, and behavioural analytics, built for AI-native workflows and real production traffic. Spot, report, and auto-fix issues before users notice.
Try it out