Overview
The Data Providers tool gives your Utari workers access to specialized data from major platforms including LinkedIn, Yahoo Finance, Amazon, Zillow, and Twitter. This powerful capability enables workers to gather market data, analyze trends, research companies, track real estate, and monitor social media—all through simple conversational requests.Available Data Providers
Yahoo Finance
Amazon
Zillow
Twitter/X
Data Provider Capabilities
Execute Data Provider Call
Execute calls to specific provider endpoints to retrieve data: Use Cases:- Get current stock price from Yahoo Finance
- Retrieve company profile from LinkedIn
- Fetch product details from Amazon
- Look up property information from Zillow
- Monitor tweets or trends from Twitter
Get Data Provider Endpoints
Discover available endpoints for each provider: Use Cases:- Explore what data each provider offers
- Find the right endpoint for your needs
- Understand available parameters and options
- Plan data collection workflows
List Available Endpoints
Review Options
Select Endpoint
Execute Call
Using Data Providers
Basic Data Retrieval
Request Data
Worker Executes Call
- Identifies the appropriate data provider (Yahoo Finance)
- Selects the correct endpoint (stock quote)
- Executes the API call with parameters (symbol: AAPL)
- Retrieves the data
Receive Structured Data
Use Data
- Displayed in responses
- Saved to documents
- Used in analysis
- Tracked over time
Data Provider Use Cases
LinkedIn - Professional Intelligence
Company Research
Company Research
- Company profiles and information
- Employee counts and growth
- Recent updates and posts
- Industry and specialties
- Leadership information
Professional Profiles
Professional Profiles
- Public profile information
- Professional experience
- Skills and endorsements
- Education background
- Connection insights
Job Market Intelligence
Job Market Intelligence
- Job listings and requirements
- Salary ranges
- Skills in demand
- Hiring trends
- Company hiring activity
Yahoo Finance - Market Data
Stock Quotes and Prices
Stock Quotes and Prices
- Real-time stock prices
- Price changes and percentages
- Trading volume
- Market capitalization
- Day high/low prices
Company Fundamentals
Company Fundamentals
- Financial statements
- Revenue and earnings
- P/E ratios
- Dividend information
- Analyst ratings
Market Trends and Analysis
Market Trends and Analysis
- Historical price data
- Moving averages
- Market indices
- Sector performance
- Trending stocks
Amazon - Product Intelligence
Product Information
Product Information
- Product details and descriptions
- Pricing and availability
- Product specifications
- Brand information
- Category and classification
Reviews and Ratings
Reviews and Ratings
- Customer reviews
- Star ratings
- Review sentiment
- Top positive/negative feedback
- Review trends over time
Pricing and Availability
Pricing and Availability
- Current prices
- Price history
- Stock availability
- Seller information
- Deal and discount data
Zillow - Real Estate Data
Property Listings
Property Listings
- Active listings
- Property details
- Photos and virtual tours
- Listing history
- Days on market
Property Valuations
Property Valuations
- Zestimates (home values)
- Price history
- Value trends
- Comparable properties
- Rental estimates
Market Trends
Market Trends
- Median home prices
- Market inventory
- Price trends
- Time to sell
- Market competitiveness
Twitter/X - Social Intelligence
Tweet Monitoring
Tweet Monitoring
- Recent tweets
- Tweet content and media
- Engagement metrics
- Retweet and quote data
- Reply threads
Trending Topics
Trending Topics
- Trending hashtags
- Popular topics
- Geographic trends
- Trend velocity
- Related conversations
User and Account Data
User and Account Data
- Profile information
- Follower counts
- Tweet frequency
- Engagement rates
- Account activity
Common Workflows
Market Research Report
Gather Financial Data
Analyze Company Profiles
Monitor Social Sentiment
Compile Report
Competitive Analysis
Product Research
Company Intelligence
Social Presence
Create Comparison
Real Estate Investment Analysis
Property Search
Market Analysis
Financial Assessment
Generate Report
Job Market Intelligence
Job Listings
Skill Analysis
Company Research
Trend Report
Combining with Other Tools
Data Providers become more powerful when combined with other Utari capabilities:+ Spreadsheet Tools
+ Document Creator
+ Web Search
+ Files and Folder
+ Task Management
+ Triggers
Example Combined Workflow
Automated Daily Report
Best Practices
Understand Endpoints
Be Specific
Verify Data
Respect Rate Limits
Structure Output
Track Over Time
Document Sources
Privacy Awareness
Data Provider Examples
Yahoo Finance Examples
LinkedIn Examples
Amazon Examples
Zillow Examples
Twitter Examples
Troubleshooting
Data provider call fails or returns error
Data provider call fails or returns error
- Provider endpoint is spelled correctly
- Required parameters are provided
- Parameter values are in correct format
- Data exists for the requested query
- Provider service is available
- Try with simpler query first
Returned data is incomplete or missing fields
Returned data is incomplete or missing fields
- The endpoint supports the data fields you need
- Data exists for that specific entity
- You’re using the correct endpoint for your needs
- Review endpoint documentation for available fields
- Try a different, more comprehensive endpoint
Can't find the right endpoint
Can't find the right endpoint
- Ask worker to list all available endpoints for the provider
- Review endpoint descriptions carefully
- Try multiple endpoints to compare results
- Describe your data needs and ask for recommendation
- Check provider documentation for guidance
Data seems outdated or inaccurate
Data seems outdated or inaccurate
- Some data updates in real-time, some is delayed
- Cross-reference with other sources
- Check timestamp of data retrieval
- Verify you’re querying the right entity (ticker symbol, address, etc.)
- Some providers cache data for performance
Rate limit or quota exceeded
Rate limit or quota exceeded
- Space out requests instead of making many at once
- Use batch endpoints when available
- Cache frequently accessed data
- Schedule large data collections during off-peak times
- Consider if you really need all the data