Pricing

Analyze your earnings reports in one click with AI and Finnhub

Swiftask connects your AI agents to real-time Finnhub data. Get an intelligent synthesis of your financial earnings reports instantly.

Result:

Stop wasting hours processing complex financial documents. Get clear insights for your investment decisions.

Information overload slows down your financial analysis

Earnings reports are dense, long, and complex. Manually analyzing these documents to extract key indicators is a time-consuming task that leaves little room for strategic interpretation.

Main negative impacts:

Delayed decision-making: The time needed to read through reports means you often act after the market has already reacted.
Risk of misinterpretation: Mental fatigue when reading financial documents increases the likelihood of missing a crucial weak signal.
Inefficient monitoring processes: Manually tracking multiple companies simultaneously is impossible, limiting your analysis to only a few dossiers.

Swiftask automates data extraction from Finnhub. Your AI agents synthesize earnings reports, compare forecasts, and highlight significant discrepancies.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

You manually download each report, search for key figures (EPS, revenue), and try to correlate them with market expectations. This process takes hours and is prone to data entry errors.

With Swiftask + Finnhub

As soon as the report is published on Finnhub, the AI agent analyzes it, extracts the data, compares it with the consensus, and generates a structured summary sent directly to your workspace.

4 steps to automate your financial monitoring

STEP 1 : Set up your analysis agent

Create an agent in Swiftask dedicated to monitoring specific stocks via Finnhub.

STEP 2 : Connect Finnhub data

Use the native Finnhub integration to retrieve earnings data in real time.

STEP 3 : Define your analysis criteria

Set the KPIs the AI should monitor (e.g., EPS variance, revenue growth, guidance).

STEP 4 : Automate your alerts

Receive ready-to-use summaries as soon as reports are published.

The power of AI applied to Finnhub data

The agent crosses raw Finnhub data with comparative analysis models to identify anomalies or opportunities.

Target connector: The agent performs the right actions in finnhub based on event context.
Automated actions: Automatic extraction of key metrics. Systematic comparison with analyst consensus. Executive summary generation. Immediate alerts on positive or negative surprises.
Native governance: All generated analyses are archived to build a historical knowledge base of your investments.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-finnhub@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 advantages of automation

1. Increased execution speed

React to earnings announcements in seconds, not hours.

2. Standardized analysis

Apply the same analytical rigor to every report, regardless of volume.

3. Focus on strategy

Delegate tedious data extraction to AI to focus on interpretation.

4. Scalable monitoring

Track a portfolio of dozens of companies without extra effort.

5. Seamless integration

Connect results directly to your reporting or communication tools.

Security and confidentiality of financial data

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

Secure API connection: Using the Finnhub API ensures data transmission that meets industry standards.
Total confidentiality: Your analysis criteria and portfolio data are isolated within your Swiftask workspace.
Granular access management: Control who within your team can view the generated analysis reports.
Compliance: The full audit trail allows you to justify every decision based on extracted data.

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

RESULTS

Impact on your operational efficiency

Metric	Before	After
Analysis time per report	60-90 minutes	Less than 2 minutes
Asset coverage	3-5 companies	Unlimited (via automation)
Data reliability	Risk of human error	Accurate automated extraction
Reaction time	Several hours	Real time

Take action with finnhub

Stop wasting hours processing complex financial documents. Get clear insights for your investment decisions.

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