Pricing

24/7 AI-powered session monitoring for Countly

Swiftask connects your AI agents to Countly for constant session supervision. Detect traffic drops or critical errors before they affect your users.

Result:

Gain peace of mind with automated surveillance that watches your analytics data even while you sleep.

Manual analytics review is a dead end

Monitoring application performance requires constant attention. But manually checking Countly dashboards 24/7 is impossible. The result: issues go unnoticed for hours, frustrating users and degrading your conversion rates.

Main negative impacts:

Delayed incident response: A sharp drop in sessions or a spike in errors detected too late means lost revenue and damaged brand reputation.
Technical team burnout: Forcing developers to manually watch metrics is inefficient and a massive waste of human capital.
Untapped data potential: Countly generates massive data volumes. Without AI to filter it, weak signals remain buried in the background noise.

Swiftask deploys an AI agent dedicated to reading your Countly streams. It analyzes continuously, identifies anomalies based on your criteria, and notifies you instantly.

BEFORE / AFTER

What changes with Swiftask

Manual monitoring

Your team checks Countly once a day. If a failure occurs at 2 AM, it won't be discovered until the next morning. In the meantime, hundreds of users have experienced a degraded service.

AI agent monitoring

The AI agent analyzes the Countly session stream in real-time. At 2:05 AM, it detects a statistical anomaly, analyzes the likely cause, and sends a priority alert to your communication channel.

Setting up intelligent monitoring

STEP 1 : Swiftask agent configuration

Define your agent in Swiftask and set its goals: monitoring key metrics like session count or error rates.

STEP 2 : Countly connector integration

Link your Countly instance via API. The agent accesses necessary data without compromising your platform security.

STEP 3 : Alert threshold definition

Determine the conditions that trigger an alert (e.g., 20% drop in sessions over 10 minutes). The AI learns from your parameters.

STEP 4 : Notification automation

Choose your preferred channel (Teams, Slack, Email) and let the agent watch your data 24/7.

AI monitoring agent capabilities

The agent examines historical trends in Countly to distinguish normal variations (seasonality) from true anomalies.

Target connector: The agent performs the right actions in countly based on event context.
Automated actions: Real-time analysis of Countly data streams. Proactive detection of traffic drops. Automatic alerting for system errors. Periodic summary reports. Integration with your ticketing tools.
Native governance: All alerts are timestamped and logged in Swiftask for in-depth post-incident analysis.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-countly@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Why automate your supervision

1. Reduced MTTR

Mean Time To Repair drops significantly thanks to immediate incident notification.

2. Increased reliability

24/7 surveillance ensures your services remain performant under all circumstances.

3. Strategic focus

Free your technical team from repetitive monitoring tasks for high-value projects.

4. Analytical precision

AI eliminates false positives by learning the natural cycles of your traffic.

5. Total transparency

Keep a record of every anomaly and the agent's reaction for internal audits.

Analytics data security

Swiftask applies enterprise-grade security standards for your countly automations.

Restricted API access: Swiftask uses read-only API keys to access your Countly data, ensuring your source integrity.
Stream encryption: All communication between Countly, the AI agent, and your interface is fully encrypted.
GDPR compliance: We process your analytics data in accordance with the strictest privacy standards.
Agent isolation: Each agent is sandboxed, ensuring your monitoring data remains private and secure.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on operational performance

Metric	Before	After
Incident detection	Several hours (manual)	Under 5 minutes (AI)
Data availability	On-demand consultation	Continuous monitoring
Workload	Daily manual monitoring	Full automation
Ignored error rate	High	Near zero

Take action with countly

Gain peace of mind with automated surveillance that watches your analytics data even while you sleep.