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SubQuery Featured #2917

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# SubQuery Indexer

SubQuery is a leading blockchain data indexer that provides developers with fast, flexible, universal, open-source and decentralised APIs for web3 projects. SubQuery SDK allows developers to get rich indexed data and build intuitive and immersive decentralized applications in a faster and more efficient way. SubQuery supports 150+ ecosystems including Iris, Cosmos, Ethereum, Near, Polygon, Polkadot, Algorand, and Avalanche.
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Another one of SubQuery's competitive advantages is the ability to aggregate data not only within a chain but across multiple blockchains, all within a single project. This allows the creation of feature-rich dashboard analytics, multichain block scanners, or projects that index IBC transactions across zones.
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Add a comma for better readability and use "multichain" consistently.

- across multiple blockchains all within a single project
+ across multiple blockchains, all within a single project
- multichain block scanners
+ multichain block scanners
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Another one of SubQuery's competitive advantages is the ability to aggregate data not only within a chain but across multiple blockchains, all within a single project. This allows the creation of feature-rich dashboard analytics, multichain block scanners, or projects that index IBC transactions across zones.
Another one of SubQuery's competitive advantages is the ability to aggregate data not only within a chain but across multiple blockchains, all within a single project. This allows the creation of feature-rich dashboard analytics, multichain block scanners, or projects that index IBC transactions across zones.


## Useful resources

- SubQuery Docs: [SubQuery Academy (Documentation)](https://academy.subquery.network/)
- Intro Quick Start Guide: [1. Create a New Project](https://academy.subquery.network/quickstart/quickstart.html)
- [Starter Project](https://github.com/subquery/cosmos-subql-starter/tree/main/Iris/iris-starter)

For technical questions and support, reach out to us `[email protected]`
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Add a comma after "support" for better readability.

- For technical questions and support reach out to us `[email protected]`
+ For technical questions and support, reach out to us `[email protected]`
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Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation.

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For technical questions and support, reach out to us `[email protected]`
For technical questions and support, reach out to us `[email protected]`


## Running and Hosting your Iris SubQuery APIs

SubQuery is open-source, meaning you have the freedom to run it in the following three ways:

- Locally on your own computer (or a cloud provider of your choosing), [view the instructions on how to run SubQuery Locally](https://academy.subquery.network/run_publish/run.html).
- You can publish it to SubQuery's enterprise-level [Managed Service](https://managedservice.subquery.network/), where we'll host your SubQuery project in production-ready services for mission-critical data with zero-downtime blue/green deployments. There even is a generous free tier. [Find out how](https://academy.subquery.network/run_publish/publish.html).
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Use hyphenated compound adjectives for "production-ready" and "mission-critical".

- production ready services for mission critical data
+ production-ready services for mission-critical data
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Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation.

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- You can publish it to SubQuery's enterprise-level [Managed Service](https://managedservice.subquery.network/), where we'll host your SubQuery project in production-ready services for mission-critical data with zero-downtime blue/green deployments. There even is a generous free tier. [Find out how](https://academy.subquery.network/run_publish/publish.html).
- You can publish it to SubQuery's enterprise-level [Managed Service](https://managedservice.subquery.network/), where we'll host your SubQuery project in production-ready services for mission-critical data with zero-downtime blue/green deployments. There even is a generous free tier. [Find out how](https://academy.subquery.network/run_publish/publish.html).

- You can publish it to the decentralized [SubQuery Network](https://subquery.network/network), the most open, performant, reliable, and scalable data service for dApp developers. The SubQuery Network indexes and services data to the global community in an incentivized and verifiable way and supports Iris from launch.