Anthropic Economic Index
AI Models & Assistants / Knowledge library
Anthropic Economic Index (Claude connector)
Explore public data on how the world uses Claude
Why learn Anthropic Economic Index (Claude connector)?
Brings Anthropic Economic Index capabilities into Claude so the assistant can work with that service's context.
The problem it solves
Reduces manual handoffs between Claude and Anthropic Economic Index.
Where it came from
Anthropic Economic Index (Claude connector): Explore public data on how the world uses Claude Directory record checked 2026-10-13. Availability depends on region, plan, permissions and the publisher. Directory presence does not establish a quality ranking.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Explain what Anthropic Economic Index (Claude connector) does.
- Identify a use case for Anthropic Economic Index (Claude connector).
- Describe a limitation of Anthropic Economic Index (Claude connector).
- Name a compatible tool for Anthropic Economic Index (Claude connector).
- Compare Anthropic Economic Index (Claude connector) against an alternative.
Documentation and sources
- Primary source / model card (claude.com)
Catalog research notes
- See the AI Workbench for source dates, pricing evidence and configuration details.
Connect the ideas
Built on
Real World Example
Global Workforce Skill Gap Analysis for EdTech Expansion
A global vocational training platform planning to expand its curriculum into emerging markets.
The business problem
The company lacks granular data on which specific professional tasks are currently being prioritized by Claude users in target regions, leading to a mismatch between course offerings and actual labor market demand.
How this topic solves it
By integrating the Anthropic Economic Index connector, the platform can programmatically query regional usage patterns and task breakdowns to identify high-growth professional domains, ensuring curriculum development aligns with real-world Claude interaction trends.
- Authenticate the Anthropic Economic Index connector within the Claude environment to gain read-only access to the public dataset.
- Execute econ_index_list_countries to filter for target emerging markets.
- Call econ_index_get_occupation_usage and econ_index_list_top_work_tasks for each identified country to extract task-specific usage patterns.
- Aggregate the retrieved task data to map current user interest against existing course modules.
- Compare regional findings using econ_index_compare_regions to prioritize market entry based on shared skill demand.
This diagram illustrates the flow from querying global usage data to curriculum adjustment.
Claude MCP Interface
Task/Occupation Aggregator
Course Development
- Connector → provides read-only data → Query Engine
- Query Engine → extracts task breakdowns → Data Processor
- Data Processor → informs course modules → Curriculum Team
Expected business outcome
The platform achieves a data-driven strategy for curriculum localization, reducing the risk of launching training programs that do not address the specific professional needs of the target workforce.
Limitations and checks
The dataset is strictly read-only and reflects historical usage patterns, meaning it cannot predict future market shifts or provide real-time user intent; verify findings by cross-referencing with local labor bureau reports.