> ## Documentation Index
> Fetch the complete documentation index at: https://docs.userintuition.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Invites & Participants

> 6 MCP tools for managing participants — create, update, send, and reward.

Invites are participants in a study. Each invite maps one person to one study and carries the unique interview link sent to them. 6 tools.

| Tool            | Description                                                 |
| --------------- | ----------------------------------------------------------- |
| `list_invites`  | List participants, filterable by study/email/sent/search    |
| `get_invite`    | Fetch a single invite                                       |
| `create_invite` | Create a single invite (sends email unless `issilent=true`) |
| `update_invite` | Update mutable invite fields                                |
| `delete_invite` | Soft-delete an invite                                       |
| `send_reward`   | Send a reward to a participant                              |

## Response shaping

**Response shaping.** `get_invite` and `list_invites` return lean summaries by default:

* `view` — `"summary"` (default) or `"full"` (raw record).
* `include` — array of heavy fields to expand, e.g. `["screener_questions"]`.
* `fields` — exact allowlist of top-level fields (`id` always returned); overrides `view`/`include`.

By default large screener option lists are truncated. Pass `include` or `view: "full"` to fetch the omitted data.

Default `page_size` is 10 for `list_invites` (max 100). Using `include` on a list multiplies payload by page\_size — prefer `get_invite` for full heavy fields on a single record.

## How User Intuition handles this

User Intuition's participant layer supports both hand-curated lists and direct invite creation. Learn more at [`/platform/agentic-research/`](https://www.userintuition.ai/platform/agentic-research/).