Why Cala
Web search APIs crawl the open web and return URLs, scraped text, and HTML fragments. Your agent then has to parse, deduplicate, and hope the data is accurate. Cala is different. It’s a verified entity graph made of typed entities with structured fields, deterministic queries, and full traceability back to source. Every query returns clean, typed data your agent can reason over immediately. Web search returns:“Here are 10 links about Spanish startups. Good luck parsing them.” Cala returns:
Key capabilities
- Structured queries: Navigate entity relationships with dot notation
OpenAI.founded.year→2015) - Intelligent search: LLM-powered contextual answers with source citations
- Entity discovery: Find and explore entities across companies, people, products, research papers, laws, places and more
- Full traceability — Every answer links back to its source documents, all verified and fact-checked.
- MCP integration — Connect directly to Cursor, Claude Desktop, VS Code, and any MCP-compatible agent
Tool Selection Cheat Sheet
| I want to… | Use | Endpoint |
|---|---|---|
| Ask a free-text question with sources | knowledge_search | /v1/knowledge/search |
| Obtained typed answers and Query in a Structured Interface | knowledge_query | /v1/knowledge/query |
| Look up an entity by name | entity_search | /v1/knowledge/entities |
| Get full details for a known entity ID | get_entity | /v1/knowledge/entities/{entity_ID} |