GEgetsales
agent_answers

Ask the Knowledge answers

Ask the way a lead would: the answers the AI SDR would read for a text, nearest first, each with its similarity and whether it clears the floor a turn reads above (the floor rides the result). Empty when no answer is embedded yet or the vector plane does not answer. Costs one embed.

Contract:

  • MCP tool ask_agent_answers, registry package mcp.unibox/agent_answers, mount unibox.knowledge.
  • Operation action, response envelope action.
  • Flags: read only.
post/api/agent-answers/ask

Request

  • Base URL
    https://beta.getsales.io/unibox/v1
  • Auth
    HTTP bearer and API key in header Team-SID

Request body

agent_sidstring

Whose Knowledge to read (ub_ag_…, block 10, 2026-10-30); left out, the team's default agent's.

qstring required

The text to read for, as a lead would write it: a question, a request ("send me the price list").

kinteger

How many answers to return, nearest first; default 5, what a turn reads at most.

Response

action success envelope.

successtrue required
operation'action' required
actionstring required

kebab-case verb; matches the route segment.

itemunknown required

Changes

No recorded changes to this operation across all 1 revision of this API.