Everyday Data Retrieval and Analysis
Call APIs for an analysis request, then use the returned data for preparation, indicator calculation, charts, and tables.
Indicator Calculation · Data Preparation · Analysis OutputAI iFinD API Skill × AI Coding
Let AI UseiFinD APIAutomate End-to-End Data Engineering
Once connected, the Skill helps AI understand data needs, select functions, look up parameters, and call APIs to retrieve data. It can then use the returned data to build strategies, analyses, backtests, or application code.
✓ Use Existing API Permissions✓ AI-Powered API Retrieval✓ Continue Coding with Retrieved Data
AI
Following the Skill workflow
- 1Define scope and methodologyUniverse · Period · Output Metrics
- 2Match functions and retrieve dataConstituents · Quotes · Industries
- 3Prepare an analysis-ready datasetDate Alignment · Frequency · Missing Data
- 4Build and validate the analysisIndustry Returns · Charts · Output Checks
members = fetch("CSI 300 historical constituents", date_range)
quotes, industry = fetch("daily quotes", "industry classification", members)
monthly_panel = align_and_clean(members, quotes, industry)
report = build_industry_report(monthly_panel)
verify_output(report, checks=["dates", "missing values", "sample scope"])
✓ Multi-API retrieval, data preparation, analysis code, and result validation completed
HOW IT WORKS
One Skill for Data Retrieval and Coding
Following the Skill workflow, AI understands the request, selects functions, looks up parameters, retrieves data through APIs, and continues coding with the returned data.
01Understand the Task
Define the data scope and expected deliverables
02Select Functions and Parameters
Match functions and look up required parameters
03Retrieve Data through APIs
Run requests in the user's API environment
04Build with the Data
Create analysis, strategy, or application code
05Validate and Deliver
Check the results and prepare final deliverables
Parameter Lookup
Security Codes / Data Indicators / Sectors / Indicator Parameters
Data Coverage
Market Data / Fundamentals / Announcements / EDB
Runtime Validation
Validity / Data Volume / Error Codes
AI PROGRAMMING SCENARIOS
What Can You Build with AI?
Cover everyday data retrieval and analysis, data application development, quantitative research, and more. After retrieving data through the APIs, AI can continue coding and produce usable deliverables.
Data Application Development
Call multiple APIs for an application's data and feature requirements, then build data processing, page interactions, and visualizations.
Multi-API Retrieval · Page Interaction · VisualizationQuantitative Research and Backtesting
Retrieve the market and financial data required by a research objective, then perform factor calculations, statistical analysis, and strategy backtests.
Data Preparation · Factor Research · Strategy BacktestingREAL TASKS · REAL OUTPUTS
From Task Instructions to Usable Deliverables
AI follows the Skill to retrieve data through APIs, then continues coding and validating the output with the returned data.
CASE 01 · DATA APPLICATION
A-Share Stock Data Terminal
Retrieve market, financial, and announcement data from multiple APIs, then build an interactive data terminal.
Multi-API RetrievalInterface DevelopmentOutput Validation
CASE 02 · QUANTITATIVE RESEARCH
Residual Volatility Factor Research
Retrieve the research data, calculate the factor, run portfolio-sorted backtests, and generate a factor performance dashboard.
Factor CalculationPortfolio-Sorted BacktestingResearch Dashboard
Start Your Next Strategy, Analysis, or Application by Describing the Task
Let AI use iFinD API Skill to retrieve data, continue coding with the results, validate the run, and deliver the final output.