Apart from the mentioned sources to register the data you want to visualize, we also provide customized dashboards wherein the data used in the charts and dashboards is indexed and synced from the provided API.

For example, here is a project we did with Metapool to build Near Staking Dashboard

Where they provided the API as a data source

Which we indexed day wise into various network metrics

And DappLooker does the science, showing you the end result as the Metapool Stalking Dashboard

Important Notes

• Each record in your API should have a unique identifier that distinguishes it from all other records. This identifier could be a primary key or some other unique field that is specific to your data model.
• To avoid confusion and ensure consistency, it's recommended that you avoid using the name "id" for any JSON keys in your API.

Examples

Please see below, how projects are using off chain APIs with DappLooker

• NFTX - https://known-addresses.nftx.workers.dev/?auth=abnehife32er3feg
• SubQuery - https://raw.githubusercontent.com/subvis-io/subvis-toolkit/master/crowdloan/kusama.json