Swiftask connects to Agenty to analyze your data extractions in real time. Stop just collecting data: trigger actions as soon as an anomaly or opportunity is detected.
Result:
Move from passive collection to proactive reaction. Optimize decisions with relevant alerts.
AI Agents
agenty
Connector agenty · Secure OAuth 2.0
You use Agenty to extract massive volumes of web data. But how much time do you spend manually analyzing these exports to spot a price change, a stockout, or a new opportunity? Data without alerts is a missed opportunity.
Main negative impacts:
Limited reactivity
By the time you manually analyze Agenty reports, the window of opportunity is often closed.
Information overload
Receiving thousands of rows of data without context makes identifying weak signals impossible.
High operational cost
Mobilizing human resources to monitor data changes is inefficient and expensive.
Swiftask acts as an intelligence layer on top of your Agenty data. It filters, analyzes, and transforms these streams into smart alerts, automatically sent to your work tools.
BEFORE / AFTER
Without Swiftask
Agenty runs a scrape. You receive a raw CSV file or notification. You must open it, filter data, compare with history, and decide whether to act. This takes hours every day.
With Swiftask + Agenty
Agenty sends data to Swiftask. The AI agent instantly analyzes the results. If a critical condition is met, it generates a contextual alert and sends it via your preferred channel. You only step in to decide.
1
STEP 1 : Connect your Agenty account
Link your Swiftask agent to your Agenty project via Webhook or API to receive data in real time.
2
STEP 2 : Define alert rules
Specify the conditions that trigger an alert (e.g., price < X, stock out, new competitor).
3
STEP 3 : Configure agent intelligence
The Swiftask AI analyzes incoming data and writes the alert message with all necessary context.
4
STEP 4 : Activate delivery
Choose where to receive the alert: Slack, Teams, Email, or another business tool.
The AI analyzes data variations, historical trends, and defined tolerance thresholds.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-agenty@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.
React instantly to market changes detected by Agenty.
Only deal with data that requires human action.
Eliminate manual data file analysis work.
Receive alerts that explain the 'why', not just the 'what'.
Monitor thousands of data sources without increasing headcount.
Swiftask applies enterprise-grade security standards for your agenty automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Detection time | Several hours | A few seconds |
| Error rate | High (human fatigue) | Near zero (AI) |
| Reactivity | Reactive | Proactive |
| ROI | Monitoring costs | Margin optimization |
Move from passive collection to proactive reaction. Optimize decisions with relevant alerts.