Overview
Random User Generator works by generating random user data based on predefined rules and providing it in a structured format. The algorithm ensures that the generated data is realistic and diverse.
Live Test Random User Generator Skill Skill →
The tool
Once your client is connected to the VerveKit server, this appears in its tool list as RandomUserGeneratorSkill. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.
{
"name": "RandomUserGeneratorSkill",
"arguments": {}
}Connecting
One server URL covers every skill in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.
{
"mcpServers": {
"vervekit": {
"url": "https://api.vervekit.com/v1/mcp"
}
}
}https://api.vervekit.com/v1/mcpPer-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.
Arguments
These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.
| Argument | Type | Description |
|---|---|---|
countOptionalPremium | integer | The number of users to generate default 1 · range 1–100 |
includeAvatarOptionalPremium | boolean | Include an AI-generated face avatar matching user's gender and age |
What the model gets back
The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.
{
"status": "ok",
"error": null,
"data": [
{
"id": "967e4d46-963e-4108-a0c5-ded8f630dcc8",
"name": "Jennifer Hoppe V",
"gender": "Male",
"username": "Olen_Kihn88",
"email": "[email protected]",
"password": "f0VIWRnbXFvW9Tf",
"registered": "2025-06-29T22:00:36.084Z",
"phone": "1-716-677-4155",
"cell": "1-353-721-7455 x2081",
"birthdate": "1972-01-24T19:55:15.208Z",
"avatar": "https://storage.googleapis.com/apiverve/APIResources/faces/Male/40-50/87654321.jpg?X-Goog-Signature=..."
}
]
}
Response fields
Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.
| Field | Type | Example | Description |
|---|---|---|---|
0 | array[1] | ||
0.id | string | 967e4d46-963e-4108-a0c5-ded8f630dcc8 | Unique identifier for the generated user |
0.name | string | Jennifer Hoppe V | Full name of the randomly generated user |
0.gender | string | Male | Gender designation for the random user |
0.username | string | Olen_Kihn88 | Randomly generated username for the user |
0.email | string | [email protected] | Randomly generated email address for user |
0.passwordPremium | string | f0VIWRnbXFvW9Tf | Randomly generated password for the user |
0.registered | string | 2025-06-29T22:00:36.084Z | ISO 8601 date when user registered account |
0.phone | string | 1-716-677-4155 | Randomly generated phone number for user |
0.cell | string | 1-353-721-7455 x2081 | Randomly generated cell phone number for user |
0.birthdate | string | 1972-01-24T19:55:15.208Z | ISO 8601 date representing user's birth date |
0.avatarPremium | string | https://storage.googleapis.com/apiverve/APIResources/faces/Male/40-50/87654321.jpg?X-Goog-Signature=... | URL to AI-generated face avatar matching gender and age |
Failure modes
Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.
| Status | What it means |
|---|---|
400 / 422 | The arguments did not validate. The message names the offending one. |
401 | The OAuth session is invalid or expired — reconnect the server. |
403 | Blocked by a key restriction or an IP allow-list. Never a bad identity. |
404 | This skill is not part of VerveKit. Check the catalog. |
429 | Out of credits, or a brief rate limit. The message tells them apart. |
A call costs 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.
Use cases
- Local Database Seeding
- To seed local staging tables without privacy risks, developers generate fake names, emails, and phone numbers directly into migration scripts.
- UI Prototype Demos
- Product designers fill mockups with generated names, birthdays, and registration dates to present realistic customer account views during stakeholder walkthroughs.
- Form Validation Testing
- Verify registration form validation rules before production by feeding unique usernames, emails, and phone records through automated test suites.
- Live Sales Demonstrations
- When preparing customer-facing sandbox instances, sales engineers generate sample user profiles so client prospects see believable accounts rather than placeholder text.
Other ways to use Random User Generator Skill
Set up Random User Generator Skill on VerveKit, or reach the same source a different way. Your VerveKit account and credits work on all of them — one key, one balance.
Related
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