Pricing

Trigger business workflows from Finage market data

Swiftask turns your Finage data streams into intelligent triggers. Automate your decisions based on real-time price fluctuations.

Result:

Gain financial reactivity and eliminate delays in processing critical market data.

The latency between market data and action

Manually monitoring financial markets is inefficient. Opportunities arise and vanish in seconds, while your teams waste time filtering data or waiting for static alerts.

Main negative impacts:

Lost opportunities due to latency: The delay between receiving Finage data and human action drastically reduces your ability to react to market moves.
Data overload: Without automation, your teams are overwhelmed by raw streams instead of focusing on actionable signals.
Human error risks: Manual analysis and execution based on fluctuating data significantly increase the risk of costly errors.

Swiftask integrates Finage to create workflow triggers based on precise market conditions. Your AI agents act instantly as soon as the defined criteria are met.

BEFORE / AFTER

What changes with Swiftask

The traditional manual approach

An analyst monitors Finage price feeds on a dashboard. When a significant variation occurs, they must manually launch a procedure, inform stakeholders, and update internal systems. Meanwhile, the market has already moved.

Automation with Swiftask

Your AI agent monitors Finage feeds 24/7. As soon as a price threshold is crossed, Swiftask instantly executes the workflow: sending an alert, updating a CRM, or running a business script, without human intervention.

Set up your triggers in 4 steps

STEP 1 : Configure Finage source

Connect your Finage API key to Swiftask to access real-time market data streams of your choice.

STEP 2 : Define trigger conditions

Set logical conditions in Swiftask: e.g., 'If asset X price exceeds threshold Y, then trigger'.

STEP 3 : Connect execution tools

Link your agent to your business tools (Email, Slack, ERP, Databases) to define the action to be taken.

STEP 4 : Deployment and monitoring

Activate your workflow and track execution logs in real-time from the Swiftask dashboard.

Capabilities of your financial AI agents

The agent processes Finage data to identify anomalies, trends, or volatility threshold crossings continuously.

Target connector: The agent performs the right actions in finage based on event context.
Automated actions: Send instant alerts, automatically update databases, trigger external webhooks, generate summary reports, execute conditional scripts.
Native governance: All triggers are archived to ensure a complete audit of your financial processes.

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

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

Strategic benefits of automation

1. Microsecond reaction

Reduce response time to market moves from minutes to milliseconds.

2. Operational reliability

Eliminate human errors through rigorous execution based on immutable rules.

3. Process scalability

Monitor thousands of assets simultaneously without increasing headcount.

4. Governance and audit

Every automated decision is tracked, facilitating compliance and post-mortem analysis.

5. Focus on high-value tasks

Free your analysts from monitoring tasks to focus on strategy.

Data security and compliance

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

Stream encryption: All connections between Finage and Swiftask are secured by SSL/TLS protocols.
Granular access management: Precisely control which users can configure financial triggers.
Decision traceability: Full history of triggers and actions to meet regulatory requirements.
Technological independence: Your business logic remains protected within your Swiftask workspace.

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

RESULTS

Impact on your operational performance

Metric	Before	After
Detection latency	Human (minutes)	Automated (milliseconds)
Data processing volume	Limited by human attention	Unlimited and continuous
Action accuracy	Variable (error risks)	100% rule-compliant
Processing cost	High (analyst time)	Low (automated)

Take action with finage

Gain financial reactivity and eliminate delays in processing critical market data.