What problem does it solve?
It solves the problem of building business-ecosystem datasets (entities + relationships + industry context) for analysis by automatically collecting information from multiple external public sources and standardizing it into a structured format.
Core Features & Use Cases
- Multi-source entity data collection: Searches and gathers company-level attributes such as business model, scale proxies (e.g., employees), headquarters, and descriptions from public sources.
- Relationship discovery & mapping: Infers and maps relationships between entities (e.g., supply, investment, cooperation) and attaches strengths and descriptions.
- Data validation & quality reporting: Validates entity uniqueness and relationship integrity and produces a data quality report suitable for downstream analysis.
Use Case: You want to analyze an industry’s ecosystem and need an initial graph-ready dataset (entities and edges) plus an assessment of data quality to start network/competitive-structure modeling.
Quick Start
Run the business-ecosystem-data-collection skill with targetIndustry set to the industry you study and searchScope specifying the geographic and time range, then request collectionDepth as standard and verificationRequired as true to obtain a validated entities-and-relationships dataset.
