Generate your daily market briefings automatically
Swiftask leverages StockNewsAPI to filter, analyze, and draft your financial briefings. Get the essentials, without the noise, directly in your workflow tools.
Result:
Save 1 hour every day on market intelligence. Make decisions based on data processed and prioritized by AI.
AI Agents
stocknewsapi
Connector stocknewsapi · Secure OAuth 2.0
Information overload hinders your financial analysis
The flow of stock market news is relentless. Between wire reports, news articles, and social media, extracting weak signals and critical information has become a full-time job. Analysts waste precious time sorting instead of analyzing.
Main negative impacts:
Constant information noise
The abundance of unfiltered data hides underlying trends, making market reading confusing and inefficient.
Delayed decision-making
Time spent manually collecting information is time lost for reacting to market fluctuations.
Superficial analysis
Due to lack of time, summaries are often incomplete, missing depth on the real impacts for your portfolio or sector.
Swiftask connects StockNewsAPI to an AI agent trained to synthesize, prioritize, and contextualize financial news. You receive a structured, ready-to-use briefing every morning.
BEFORE / AFTER
What changes with Swiftask
Manual intelligence gathering
You open multiple terminals, scan dozens of headlines, try to cross-reference info, and draft a quick summary. You've already lost 45 minutes and missed crucial alerts published early in the morning.
AI-driven briefing with Swiftask
At the set time, your AI agent queries StockNewsAPI, filters by your sector criteria, analyzes sentiment, and drafts a structured summary. You open your inbox or Teams channel: the briefing is already there.
Automate your intelligence in 4 simple steps
1
STEP 1 : Agent initialization
Create your Swiftask agent specialized in the financial domain. Define its tone and sector priorities.
2
STEP 2 : StockNewsAPI connection
Integrate your StockNews API keys. Configure filtering parameters to target only the assets or sectors that matter to you.
3
STEP 3 : Summary template definition
Instruct the AI on the desired structure: market summary, top movers, sentiment analysis, and potential impacts.
4
STEP 4 : Delivery scheduling
Configure the automated daily delivery (via email, Teams, or Slack) to receive your briefing at the perfect time.
Your agent's processing capabilities
The agent does more than just list news. It evaluates relevance, correlates events, and adapts the summary to market changes.
- Target connector: The agent performs the right actions in stocknewsapi based on event context.
- Automated actions: Intelligent filtering by ticker or sector. Sentiment analysis (bullish/bearish). Multi-source synthesis. Bullet-point formatting. High-volatility event alerts.
- Native governance: You maintain full control over the sources used via StockNewsAPI and can adjust the level of detail in the summary.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-stocknewsapi@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 for your operations
Immediate productivity gains
Automate collection and drafting to focus exclusively on data interpretation.
Precision and relevance
Filter out the noise to receive only information that impacts your strategy.
Increased reactivity
Be informed of market movements at the opening, without waiting for manual compilation.
Flawless consistency
Your briefing is generated every day, without exception, regardless of your workload.
Standardized reporting
All your team members receive the same level of information, structured identically.
Data privacy and integrity
Swiftask applies enterprise-grade security standards for your stocknewsapi automations.
- Secure API key management: Your StockNewsAPI credentials are encrypted and isolated within your Swiftask workspace.
- Granular control: You define who within your organization has access to the agent's results.
- Flow compliance: Data transits through secure channels and is not used to train public third-party models.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your operational performance
| Metric | Before | After |
|---|---|---|
| Daily intelligence time | 60+ minutes | 5 minutes (reading) |
| Information quality | Subject to human oversight | Exhaustive and structured |
| Processing latency | Depends on schedule | Real-time (automated) |
Take action with stocknewsapi
Save 1 hour every day on market intelligence. Make decisions based on data processed and prioritized by AI.