API Usage
You will need an api-key to access the Maestro API. You can obtain this key from the Maestro dApp Platform Dashboard.
Example GET request for retrieving information about the latest block :
Example request for submitting a transaction:
To ensure the security of your API usage, follow these best practices:
- Keep your API key private: Never share it publicly (e.g., on GitHub, client-side code).
- Prevent unauthorized usage: Loss or misuse of your API key can result in the overuse of your account's available credits.
- Secure your API key: Implement proper methods for storing and accessing your api-key, especially in production environments.
Cursor-based Pagination
Some Maestro endpoints use Cursor-based Pagination to break large datasets into smaller, more manageable responses. This method is particularly relevant when returning all the data in a single response would be inefficient or slow.
- Improved data integrity and accuracy when fetching multiple pages.
- Prevents duplicates, even when new blocks are processed between queries.
- Optimized for infinite scroll, enabling a smooth user experience by loading content as the user scrolls.
When using this method, responses will include a next_cursor string. This value should be passed as the cursor parameter in your next request to retrieve the next page of results.
- Initial Response: When you make an initial API call, the response might include a "next_cursor": "AAAAAALfeKF8btdzaVvkGaetSS7e1AAF". This indicates that there are more results to retrieve.
- Using next_cursor: To get the next page of data, you need to include the next_cursor value in your next API request by adding it as a query parameter (cursor).
- Modifying the Query: Append the cursor value to your API request URL, like this:
- Result: The API will return the next set of results when this value is provided.
- End of Data: If the response includes "next_cursor": null, the requested dataset's end has been reached.
Other relevant query parameters are:
Parameter | Default | Description |
---|---|---|
count | 100 | Defines the maximum number of results per pagination page |
order | asc | Specifies the sort order of the results. Acceptable values are asc (ascending) or desc (descending). This option is available only for specific endpoints. |
Example
Available Services & Networks will include further details for a particular endpoint.
Maestro uses Compute Credits to measure the computational resources consumed by your applications on its platform, similar to traditional cloud providers like Google Cloud or AWS. The number of credits assigned to each operation or method is based on the global average duration of that process, taking into account factors like complexity and computational intensity.
Learn more about how Compute Credits are allocated by exploring the Subscription breakdown [insert link].
Compute Credits provide a fair, usage-based pricing model, meaning you only pay for the computational resources your application actually uses, making it both cost-efficient and flexible.
Maestro enforces two types of API rate limits:
For example, the Artist plan supports up to 10 requests per second.
For more details on available packages or to upgrade your plan, refer to the Pricing page. If your organization needs higher limits, contact us to discuss Enterprise solutions.
Maestro includes the following headers in API responses to help manage usage:
Header | Description |
---|---|
X-RateLimit-Limit-Second | Maximum allowed requests per second. |
X-RateLimit-Remaining-Second | Remaining allowed requests for the current second. |
X-Maestro-Credits-Limit | Total allowed credits for the day. |
X-Maestro-Credits-Remaining | Remaining credits for the day. |
Be sure to monitor these values (in bold) and adjust your request rate accordingly to avoid hitting rate limits.
Maestro follows standard HTTP response codes to indicate the success or failure of API requests:
2xx | Success |
---|---|
4xx | Client-side errors, such as missing or incorrect parameters. |
5xx | Server-side errors with Maestro. |
Refer to the API Reference or detailed response codes for each endpoint.