The Business category gives your agent access to ~96 structured business intelligence tools — covering company records, acquisition history, addresses, people, and related entities. Rather than scraping unstructured web pages, these tools return clean, typed data you can reason over directly. The category is organized around three capabilities: direct lookups by entity identifier, autocomplete for resolving a name to an ID, and enrichment cards that add predictive or supplementary context.
What’s inside
- Entity lookups — fetch detailed records for companies, acquisitions, addresses, people, and more, keyed by a structured identifier. Examples include
getAcquisition (full acquisition record) and getAddress (normalized address data).
- Autocomplete — suggest matching entities for a partial name or keyword query (
autocompletes, scoped by one or more entity definition IDs). Use this to resolve a fuzzy company name into the canonical entity ID you need for downstream lookups.
- Predictions and cards — supporting detail and enrichment, including acquisition predictions (
getAcquisitionPrediction) and single-entity summary cards (getAcquisitionCard). These are useful for building quick overviews or scoring deal likelihood without a full data pull.
Always call autocompletes first when you have a company name but not a structured entity ID. It resolves the name to an identifier, which you then pass to getAcquisition, getAddress, or any other lookup. Skipping this step often results in a missing-parameter error from the lookup tool.
Example
The three-step flow for looking up an acquisition record:
find_tools("look up an acquisition by company name")
describe_tool("Crunchbase/getAcquisition")
execute_tool("Crunchbase/getAcquisition", { entity_id: "acme-corp" })
