Mock sample for your project: ART19 Content API Documentation

Integrate with "ART19 Content API Documentation" from art19.com in no time with Mockoon's ready to use mock sample

ART19 Content API Documentation

art19.com

Version: 1.0.0


Use this API in your project

Speed up your application development by using "ART19 Content API Documentation" ready-to-use mock sample. Mocking this API will allow you to start working in no time. No more accounts to create, API keys to provision, accesses to configure, unplanned downtime, just work.
It also improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.

Description

The ART19 Content API conforms to the JSON:API specification.
API requests MUST use the HTTP Accept header:
Accept: application/vnd.api+json
API requests MUST be authenticated using the HTTP Authorization header:
Authorization: Token token="your-token", credential="your-credential"
General Notes
Some query parameters use unencoded [ and ] characters simply for readability. Defaults, examples, and
possible values are additionally rendered in double quotes for readability. In practice, query parameters should
not have quotes around the values (e.g., foo=bar is valid, not foo="bar"), and both query parameter keys
and values must be percent-encoded, per the requirements in RFC 3986 § 3.4.
Rate Limiting
In order to provide a fair distribution of available resources, all API calls are subject to rate limits.
If you exceed the number of API calls per minute granted to your credential, a 429 Too Many Requests
error response will be returned.
In that case, a Retry-After header MAY be included in the response, describing the number of seconds
after which a request can be retried.
If you run into a high number of 429 errors, please reach out to ART19 Support to adjust your rate limit.
Example
In the following example the request can be retried after waiting for 21 seconds:
HTTP/1.1 429 Too Many Requests
Content-Type: text/html
Retry-After: 21
Pagination
Requests to collection endpoints SHOULD provide pagination parameters.
Some endpoints REQUIRE pagination parameters to be provided.
Whenever pagination is provided, it MUST be valid.
Failing to provide pagination when it is required or providing wrong or incomplete pagination
always results in a 400 Bad Request error response.
The page numbering starts with 1 and the maximum page size (if not otherwise documented
on an endpoint) is 100. Pagination MUST NOT be specified if requesting a list of IDs (using an ids[] parameter).
Providing invalid values for page number or page size, as well as providing only a page number or only a page size,
is considered an error. Pagination is provided like this:
page[number]=1&page[size]=25
Responses conform to the JSON:API specification's pagination section
by including pagination links. Your requested page size will be carried into the pagination links.
Sorting
Requests to collection endpoints usually accept a sort parameter. Please refer to the
JSON:API Specification's sorting section for further details.
Relationship Linking
Currently, resources return all of their relationships, in no particular order, pursuant to how relationships
should be returned according to the JSON:API specification. Consumers of this API
MUST NOT make assumptions about the order of these collections. Even though this data is not currently paginated, consumers MUST support
paginating relationships per the JSON:API specification if this data is important for their application.

Other APIs in the same category

Google My Business API

The Google My Business API provides an interface for managing business location information on Google.

Firebase ML API

Access custom machine learning models hosted via Firebase ML.

Recommendations AI (Beta)

Note that we now highly recommend new customers to use Retail API, which incorporates the GA version of the Recommendations AI funtionalities. To enable Retail API, please visit https://console.cloud.google.com/apis/library/retail.googleapis.com. The Recommendations AI service enables customers to build end-to-end personalized recommendation systems without requiring a high level of expertise in machine learning, recommendation system, or Google Cloud.

Chrome Policy API

The Chrome Policy API is a suite of services that allows Chrome administrators to control the policies applied to their managed Chrome OS devices and Chrome browsers.

Error Reporting API

Groups and counts similar errors from cloud services and applications, reports new errors, and provides access to error groups and their associated errors.

Assured Workloads API

Area120 Tables API

Chrome UX Report API

The Chrome UX Report API lets you view real user experience data for millions of websites.

Cloud Billing Budget API

The Cloud Billing Budget API stores Cloud Billing budgets, which define a budget plan and the rules to execute as spend is tracked against that plan.

Cloud Composer API

Manages Apache Airflow environments on Google Cloud Platform.

Cloud Bigtable Admin API

Administer your Cloud Bigtable tables and instances.

Cloud Memorystore for Memcached API

Google Cloud Memorystore for Memcached API is used for creating and managing Memcached instances in GCP.