MANTRA

MANTRA is a permissionless Layer 1 blockchain built on Cosmos SDK, specializing in the secure tokenization and regulated trading of Real World Assets.

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How to index MANTRA data with Goldsky

Subgraphs

MANTRA supports builders by covering 100% of your cost

Query MANTRA data with an instant GraphQL API. Perfect for familiarity, fast setups, on-chain data queries, and getting to market quickly.

Ideal for:

Teams building on MANTRA who want quick setup & minimal infrastructure overhead
Production-ready MANTRA API endpoints
Moderate traffic and throughput scenarios
Predefined data models and standard query patterns
On-chain data from EVM-compatible chains

Website

mantrachain.io

EVM Compatible

Yes

Products

Subgraphs Compose

Supported Networks

Mainnet, Dukong Testnet

Goldsky Docs

docs.goldsky.com/chains/mantra

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MANTRA data: frequently asked questions

What is MANTRA?

MANTRA is a blockchain network supported by Goldsky for real-time data indexing and streaming. Goldsky makes it easy to access MANTRA data through subgraphs, data pipelines, and RPC endpoints, so your team spends less time on infrastructure and more time building your product.

How do I start indexing MANTRA data with Goldsky?

Sign up for a free Goldsky account, then deploy a subgraph or pipeline against MANTRA in minutes. Goldsky handles node infrastructure, reorg detection, and data freshness automatically. See the MANTRA docs to get started.

Can I run a subgraph on MANTRA?

Yes. Goldsky Subgraphs run on MANTRA and are fully compatible with The Graph protocol, so you can migrate existing subgraphs with a single CLI command. Queries are served via a standard GraphQL API with sub-second indexing latency.

How much does it cost to index MANTRA data with Goldsky?

Goldsky offers a free plan with generous limits so you can start building right away. Paid plans scale with usage. Creating an account is free and no credit card is required to get started.

How fresh is the MANTRA data available through Goldsky?

Goldsky indexes MANTRA blocks as they land on-chain, typically delivering data with sub-second latency after confirmation. Reorgs are handled automatically, so your application always reflects the current canonical chain state.