Core Concepts
Understanding the Linkt data model, resources, and workflow execution
This section covers the core concepts and resources in the Linkt API, organized into Data Models (what your data looks like) and Workflows (how work gets done).
Resource Relationships
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Data Models
Resources that define what your data looks like and where it's stored.
| Resource | Description |
|---|---|
| ICPs | Ideal Customer Profiles define targeting criteria and enrichment fields |
| Sheets | Collections that store discovered entities |
| Entities | Companies, people, and other business records |
| Custom Fields | Extend sheet schemas with additional data points |
| Signals | Time-based business events detected by AI agents |
Workflows
Resources that define how research is executed and when it happens.
| Resource | Description |
|---|---|
| Tasks | Reusable workflow templates (search, ingest, signal) |
| Runs | Individual workflow execution instances |
| Execution | Understanding task execution states and monitoring |
Key Concepts
- ICPs define what you're looking for — the criteria and enrichment fields
- Sheets store what you find — organized by entity type
- Entities are the results — companies, people, and their attributes
- Tasks define how to search — workflow configuration and parameters
- Runs track when and what happened — execution state and results
- Signals capture what changed — business events over time
Next Steps
Start with the data models to understand how information is structured:
Then explore workflows to understand how research is executed:
Or jump straight to a practical guide:
- Quickstart - Your first discovery workflow
- Advanced Targeting - Multi-entity ICPs and filtering