Mock YAML Generator

Generate realistic mock YAML datasets from configurable schemas, data types, and custom record counts instantly.

How to Generate Mock YAML Datasets Online

1

Define Schema Fields

Configure custom key names and assign data generators like ID, Names, Emails, Dates, Phone, or Numeric values.

2

Set Record Count

Configure output row density by setting a record count between 1 and 1000 items.

3

Generate & Download

Generates instantly in real time. Click Copy or Download to export your mock YAML array.

Tool Options

Smart Generator Formats

Supports UUIDs, sequential numbers, mock emails, first & last names, cities, countries, phones, and random floats.

Custom Date Boundaries

Set custom starting and ending calendar milestones to generate realistic date fields in YYYY-MM-DD formats.

Precision Range Logic

Fine-tune mock numeric output boundaries by setting explicit minimum thresholds, maximum limits, and decimal offsets.

Your Data Privacy

Web Tool
Privacy-First Architecture
Most of our web tools process your data entirely in-browser. Where server processing is technically required, payloads are evaluated statelessly in-memory and are never stored, saved, or logged.
REST API
Stateless In-Memory Processing
When you use our API endpoints, your requests are processed strictly in-memory without persistent database storage, disk logging, or data retention.
Want to learn more about how we safeguard your information and infrastructure?
Read our full Privacy Policy for detailed security standards, data retention principles, and compliance guarantees.

What does the Mock YAML Generator do?

The Mock YAML Generator creates realistic, structured YAML datasets and sequences populated with configurable placeholder mock data (such as UUIDs, sequential numbers, mock names, email addresses, phone numbers, cities, countries, date timestamps, custom numeric bounds, and boolean flags).

Core Concepts

Understanding mock YAML data generation options and structure synthesis:

  • Field Type Generators: Supports specialized generator types including UUIDs, auto-incrementing numbers, first/last/full names, domain-customized emails, phone numbers, cities, countries, integers, and floats.
  • Custom Numeric & Date Boundaries: Configure explicit minimum/maximum numeric ranges, decimal precision offsets, and starting/ending calendar date bounds.
  • Deterministic Batch Synthesizing: Generates clean, parseable YAML sequences adhering strictly to YAML 1.2 syntax specifications.

How to use the tool?

  1. Configure Schema Fields: Click Add Field to define field names and assign data types (e.g. userId as ID, email as Email Address, country as Country).
  2. Set Record Count: Specify how many mock YAML sequence items to generate (between 1 and 1000 records).
  3. Copy & Export: Updates automatically in real time. Click Copy or Download to save your mock YAML document.

Related Developer Utilities

If you work with mock datasets, YAML transformation, and Kubernetes configuration testing, explore these complementary tools:

REST API Integration

blueutils.com provides a free REST API endpoint (POST https://blueutils.com/api/yaml/generate) to programmatically generate structured, realistic mock YAML documents and sequences from configurable fields, type configurations, and target record densities.

API Request Parameters

Name Type Description Example
fields Array Non-empty array of field configuration objects containing name and type (aliases: schema, columns). [{"name":"id","type":"id"}]
count Number Count of mock objects to generate (min: 1, max: 20; aliases: records, rows, limit). Defaults to 10. 10

API Request Payload Examples

cURL

curl -X POST https://blueutils.com/api/yaml/generate \
  -H "Content-Type: application/json" \
  -d '{
    "fields": [
      { "name": "userId", "type": "id", "options": { "format": "uuid" } },
      { "name": "userName", "type": "fullName" },
      { "name": "userEmail", "type": "email" }
    ],
    "count": 3
  }'

Python

import requests

url = "https://blueutils.com/api/yaml/generate"
payload = {
    "fields": [
        {"name": "userId", "type": "id", "options": {"format": "uuid"}},
        {"name": "userName", "type": "fullName"},
        {"name": "userEmail", "type": "email"}
    ],
    "count": 3
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.json())

Java

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class Main {
    public static void main(String[] args) throws Exception {
        String jsonPayload = """
            {
                "fields": [
                    { "name": "userId", "type": "id", "options": { "format": "uuid" } },
                    { "name": "userName", "type": "fullName" }
                ],
                "count": 2
            }
            """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://blueutils.com/api/yaml/generate"))
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(jsonPayload))
            .build();

        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}

API Response Parameters

Name Type Description Example
isValid Boolean Indicates whether generation completed successfully. true
result String YAML formatted string containing generated sequence elements. "- userId: ...\n"

API Response Payload Examples

Success Response (HTTP 200 OK)

{
  "isValid": true,
  "result": "- userId: e12d5d8e-3be7-463d-82d2-5a9d8c2e6840\n  userName: John Smith\n  userEmail: john.smith@example.com\n"
}

Validation Failure Response (HTTP 400 Bad Request)

{
  "isValid": false,
  "error": "Fields configuration must be a non-empty array."
}

Rate Limit Exceeded Response (HTTP 429 Too Many Requests)

{
  "error": "API rate limit exceeded. Please wait or contact support@blueutils.com."
}

Why use an API to generate mock YAML?

Integrating the Mock YAML Generator API into automated DevOps pipelines, test suites, or AI agent tool calling provides key benefits:

  • Rapid Script Validation: Instantly produces mock Kubernetes config maps and manifest sequences for automated deployment testing.
  • Optimized Token Efficiency for AI Agents: LLMs spend hundreds of tokens writing out mock YAML sequences. Calling the API synthesizes structured datasets with zero hallucination.
  • Deterministic Accuracy Without Hallucinations: Guarantees valid UUIDs, clean email formatting, and accurate numeric boundaries.

Native Usage

How to generate mock YAML data locally in terminal environments or scripts:

Windows (CMD / PowerShell)

# Generate mock YAML in PowerShell using Python
python -c "import yaml, random, uuid; print(yaml.dump([{'id': str(uuid.uuid4()), 'score': random.randint(1,100)} for _ in range(3)]))"

Linux / Unix (Bash)

# Generate mock YAML using Python in Linux
python3 -c "import yaml, random, uuid; print(yaml.dump([{'id': str(uuid.uuid4()), 'score': random.randint(1,100)} for _ in range(3)]))"

Python

Using Python yaml, random, and uuid:

import yaml
import random
import uuid

data = [
    {
        "id": str(uuid.uuid4()),
        "name": random.choice(["Alice", "Bob", "Charlie"]),
        "score": random.randint(10, 100)
    }
    for _ in range(3)
]

print(yaml.dump(data, sort_keys=False))

Java

Using Java and SnakeYAML:

import org.yaml.snakeyaml.Yaml;
import java.util.*;

public class MockYamlExample {
    public static void main(String[] args) {
        List<Map<String, Object>> list = new ArrayList<>();
        for (int i = 1; i <= 3; i++) {
            Map<String, Object> record = new HashMap<>();
            record.put("id", UUID.randomUUID().toString());
            record.put("index", i);
            list.add(record);
        }

        Yaml yaml = new Yaml();
        System.out.println(yaml.dump(list));
    }
}

Frequently Asked Questions (FAQ)

How do I generate mock YAML datasets online?

Configure custom field keys and data types (such as UUIDs, names, emails, dates, or numbers), choose your target record count, and click Generate YAML Dataset.

What mock data types are supported for YAML generation?

We support unique UUIDs, sequential IDs, mock names, email addresses, phone numbers, cities, countries, custom text strings, booleans, dates, and bounded numeric ranges.

Can I customize the starting and ending boundaries for mock dates and numbers?

Yes. You can specify minimum and maximum numeric thresholds with custom decimal precision, as well as starting and ending ISO calendar dates for date fields.

How does the generator handle sequential IDs versus UUIDs?

Selecting UUID generates RFC 4122 v4 identifiers, while selecting Sequential generates auto-incrementing integer sequence keys.

Is generated mock YAML data logged or saved?

No. All mock data generation logic executes 100% client-side directly inside your browser. Your schemas and generated YAML datasets are never uploaded or saved remotely.

Rate Limits

UI Limits
100 uses per 15 minutes
Max payload size: 5 MB
API Limits
5 requests per 60 minutes
Max payload size: 256 KB
Need higher API rate limits, increased payload sizes, or custom developer solutions?
Contact our engineering team at support@blueutils.com for custom rate limit increases, higher quota allocations, or tailored enterprise integrations.