I had the need of displaying a more detailed custom message to the user when an error occurred. I did this by adding a field to the property in the schema and then looking it up on ValidationError.

import json
import jsonschema


def validate(_data, _schema):
    try:
        jsonschema.validate(_data, _schema)
    except jsonschema.ValidationError as e:
        return e.schema.get("error_msg", e.message)


schema = {
    "title": "index",
    "type": "object",
    "required": [
        "author",
        "description"
    ],
    "properties": {
        "author": {
            "type": "string",
            "description": "Name of the Author",
            "minLength": 3,
            "default": "",
            "error_msg": "Please provide a Author name"
        },
        "description": {
            "type": "string",
            "description": "Short description",
            "minLength": 10,
            "default": "",
            "error_msg": "Please add a short description"
        }
    }
}

data = {
    "author": "Jerakin",
    "description": ""
}

No there is not. You can find the available array validations here: https://json-schema.org/draft/2019-09/json-schema-validation.html#rfc.section.6.4

You can specify that a number must be a multiple of x: https://json-schema.org/understanding-json-schema/reference/numeric.html#multiples but of course this only does part of what you want to achieve.

If you haven't check jsonschema library, it can be useful to validate data. JSON Schema is a way to describe the content of JSON. The library just uses the format to make validations based on the given schema.

I made a simple example from basic usage.

import json
from jsonschema import validate

# Describe what kind of json you expect.
schema = {
    "type" : "object",
    "properties" : {
        "description" : {"type" : "string"},
        "status" : {"type" : "boolean"},
        "value_a" : {"type" : "number"},
        "value_b" : {"type" : "number"},
    },
}

# Convert json to python object.
my_json = json.loads('{"description": "Hello world!", "status": true, "value_a": 1, "value_b": 3.14}')

# Validate will raise exception if given json is not
# what is described in schema.
validate(instance=my_json, schema=schema)

# print for debug
print(my_json)