Skip to main content
Superdata produces the most useful results when a request states the entity, signal, or action you need and the constraints that matter.

Build a target-account list

Tell the connected AI client the complete target. The client searches the capability catalog and inspects the selected company operation before calling it.
Use this pattern for territory planning, market mapping, and account research.

Find decision-makers

Add current roles and current-company characteristics to a people search.
Ask the client to show the selected capability and execution arguments when a requirement is material. Revise the request if the capability contract cannot represent it exactly.

Enrich a prospecting workflow

Use company capabilities to identify accounts, then discover a people or email capability for the next step. Review provider-supplied contact fields before using them downstream.
MCP results remain in the conversation that requested them. They appear as metered calls in Usage but are not currently copied into a saved dashboard workspace or lead list automatically.

Explore a broader market

Inspect the selected capability for its available query arguments and provider pagination fields. Pagination is operation-specific; reuse only tokens or offsets returned by that operation. Narrow the request if it times out or returns too much irrelevant coverage. Change one constraint at a time:
  1. Confirm the country and industry terms.
  2. Widen the company employee range.
  3. Reduce the number of required job titles.
  4. Inspect a different matching capability.
A completed no-match execution costs one credit. Discovery, inspection, and invalid requests rejected before provider execution cost zero credits.

Prompt checklist

Before sending a request, check that it includes:
  • The entity, signal, or action you need
  • The exact capability selected through discovery
  • Required path values and case-sensitive query arguments
  • Whether the operation changes external state
See the Tool catalog for exact fields and Understanding results for response behavior.