1
Task understanding and planning
The AI agent parses the user's question and plans the required data and metrics.
TAIEX44,611.60+2.88%
Electronics2,841.92+3.28%
Finance & Insurance3,229.71+0.83%
TAIEX44,611.60+2.88%
Electronics2,841.92+3.28%
Finance & Insurance3,229.71+0.83%
As of 2026-08-05
Taiwan market data infrastructure
Sourced from official providers and shaped into a stable, queryable, traceable API.
TWSE-first
Verified baseline
TWSE official-first
Centered on listed-market data, expanding coverage to other markets over time.
Low-latency queries
Built for API & agent workflows
API-first workflow
Tuned for automated queries and research pipelines, with a continually improved read path.
Official-source first
Lineage & data gaps preserved
official/public-first
Prioritizes TWSE, TPEx, MOPS, and official public sources — no mixed provenance.
Clear boundaries
No overclaiming
scoped dataset claims
No claims of full-market, adjusted prices, survivorship-safety, or investment advice.
Query across TWSE- and TPEx-listed stocks, ETFs, warrants, and more
Covers the Taiwan market's main data themes — prices, financial statements, operating metrics, and corporate events. Supports queries across stocks, time, and multiple datasets, so agents can run analysis and screening in a single data layer. Positioned publicly as a TWSE-first verified baseline; makes no claim to full-market historical coverage.
Let AI agents read traceable Taiwan stock data directly
Wire prices, financials, and disclosures into your agent workflow. A consistent response structure with source_role / lineage keeps the data both readable and verifiable.
Give AI agents direct understanding of filings and financial reports
Turn material announcements, filings, and financial-statement notes into analyzable text context, so agents don't just read the numbers — they understand what a company actually disclosed.
AI agent workflow
From task planning to reliable data retrieval — built for AI agent and quant workflows, so data is verifiable, traceable, and programmatically usable.
2
Find the right dataset and fields
Use the data catalog and schema to select the exact dataset and fields.
3
Call the API to retrieve data
Retrieve data through a standardized API; responses include source and lineage.
4
Validation and quality checks
Check freshness, source tier, and field completeness to ensure reliability.
5
Data processing and analysis
Compute metrics, engineer features, or run analysis to produce traceable conclusions.
6
Output results with traceability
Return results while retaining source, timestamp, and lineage — verifiable and auditable.
Traceable, verifiable, and programmatic — built for agent workflows.
New to Taiwan market data — what is a Taiwan stock API, and how do you pick one you can keep using? Read the full guide