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Data Indexing Service

You will want reliable production ready hosting of your SubQuery and SubGraph projects.

The biggest dApps depend on OnFinality’s enterprise level Indexing Service. With 100's of millions of daily requests and hundreds of active projects, OnFinality’s Indexing Service provides industry leading hosting for our customers.

By publishing it to our enterprise-level Indexing Service, where we'll host your SubQuery and Subgraph project in production ready services for mission critical data with zero-downtime blue/green deployments. We even have a generous free tier.

Starting Wednesday, 8th January 2025, the SubQuery Managed Service will officially become the OnFinality Indexer Service.

  • Seamless Transition: All URLs and endpoints will automatically redirect to the new platform (https://indexing.onfinality.io). There will be no downtime or immediate changes required on your end.

  • Billing Updates: From this date, invoices and billing will come from OnFinality Pte Ltd, with your existing payment methods transferred automatically.

  • Updated Terms: Continued use of the service will be governed by the updated OnFinality Terms of Service and Privacy Policies.

What Does This Mean for You?

This transition will be seamless for our users. You’ll continue to enjoy the same great product, reliability, and performance you’ve come to expect—now backed by the expertise and stewardship of the OnFinality team.

By entrusting OnFinality with the Managed Service, we can dedicate our efforts to advancing decentralised infrastructure, including Decentralised Data Indexing, Decentralised RPCs, and Decentralised AI Solutions.

This shift allows SubQuery to fully focus on building the infrastructure that powers tomorrow's Web3 world—open, efficient, and user-centric.

What is Data Indexing

SubQuery and The Graph are open-source data indexers that provides you with custom APIs for your web3 project across all of our supported chains.

  1. Build your project: Initialise your project, define your entities using GraphQL, identify the trigger events, and write simple mapping functions that process your data - that’s it! Theres no need for pre-existing data archives, write simply in Typescript and test locally with Docker.

  2. Publish: Running a SubQuery Project is easy, or if you don’t want to run and manage production infrastructure, use our self-service platform to publish and run a production SubQuery or Subgraph project in only a few minutes.

  3. Query: Make advanced, flexible, but simple queries over GraphQL from any website or app. We even support advanced features like aggregate functions and allow you to subscribe to new data.

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