Pricing

Intelligent alerting: keep your Hasura data under AI supervision

Swiftask connects to your Hasura triggers to transform database changes into relevant, actionable alerts for your teams.

Result:

Never miss a critical event again. Identify anomalies and opportunities before they impact your business.

The burden of raw database alerts

Traditional systems send alerts for every single row change. As a result, your teams are flooded with useless notifications, eventually ignore alerts, and miss real issues.

Main negative impacts:

Alert fatigue: The high volume of useless notifications leads to team disengagement from monitoring tools.
Lack of context: A simple 'data modified' alert does not explain why it matters to your business.
Delayed reactions: Without intelligent analysis, the time spent sorting between critical and noise is too long.

Swiftask acts as an intelligence layer on top of your Hasura triggers. AI filters, analyzes, and contextualizes every event before triggering a targeted alert.

BEFORE / AFTER

What changes with Swiftask

Traditional monitoring

Your Hasura database emits a trigger. A webhook sends a raw notification to Slack. Your team receives 50 notifications per hour, with no way to know which ones require immediate action.

Swiftask intelligent alerting

Hasura emits a trigger. Swiftask intercepts the event, analyzes the context via AI, and only sends an alert if a critical threshold is met or unusual behavior is detected.

Deploy your alerting system in 4 steps

STEP 1 : Configure triggers in Hasura

Define the events (insert, update, delete) in your Hasura console that need to be monitored.

STEP 2 : Connect Hasura to Swiftask

Point your Hasura trigger webhook to your dedicated Swiftask agent.

STEP 3 : Define analysis rules

Configure the Swiftask agent to analyze incoming data and determine alert relevance.

STEP 4 : Choose your notification channels

Decide where the alert should be sent (Teams, Slack, Email) based on the detected criticality.

Data analysis capabilities

Swiftask evaluates data value, change volume, and recent history to rule out false positives.

Target connector: The agent performs the right actions in hasura based on event context.
Automated actions: Intelligent filtering, data enrichment, conditional alert routing, event aggregation, automatic escalation.
Native governance: All AI decisions are transparent and viewable in your Swiftask logs.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-hasura@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.

Major operational benefits

1. Noise reduction

Receive only relevant alerts that require real human action.

2. Enriched context

Each alert includes an analysis of the potential business impact.

3. Increased reactivity

Response time to critical incidents is drastically reduced.

4. No-code scalability

Add new triggers and rules without changing your backend code.

5. Centralization

Manage all your data alerts from a single interface.

Data security

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

Encrypted transmission: Data travels between Hasura and Swiftask via secure connections.
Environment isolation: Every client benefits from strict data isolation.
GDPR compliance: Swiftask ensures full compliance with your data protection requirements.

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

RESULTS

Impact on your performance

Metric	Before	After
Irrelevant alerts	80% of volume	Less than 5%
Sorting time	Several hours/week	Real-time
Risk coverage	Partial	100% automated

Take action with hasura

Never miss a critical event again. Identify anomalies and opportunities before they impact your business.

Streamline Hasura updates with AI assistance

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