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Overview

Goldsky provides curated NEAR Protocol datasets covering blocks, transactions, receipts, and execution outcomes. NEAR data is pulled from chunks across all shards and flattened into per-row datasets for indexing.

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Available datasets

DatasetMainnetDescription
near.blocksv1.0.0Block-level data from the NEAR blockchain
near.receiptsv1.1.0Receipts created during execution of transactions
near.transactionsv1.1.0Transactions pulled from chunks as found on the NEAR blockchain
near.execution_outcomesv1.1.0Execution outcomes generated from both transaction and receipt executions
Data coverage: NEAR datasets are indexed as of ~February 20, 2026 (block height 186410071).Please contact us if you’d like earlier historical data.

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Quick start

The fastest way to explore NEAR data is using a blackhole sink with goldsky turbo inspect: 
name: demo-near-receipts-blackhole
resource_size: s

sources:
  near_receipts:
    type: dataset
    dataset_name: near.receipts
    version: 1.1.0
    start_at: latest

sinks:
  dev_sink:
    type: blackhole
    from: near_receipts

goldsky turbo apply demo.yaml
goldsky turbo inspect demo-near-receipts-blackhole

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Guide: Track failed execution outcomes

Build a debugging dashboard by filtering execution outcomes to only capture failures: 
name: near-execution-outcomes-failures
resource_size: s

sources:
  execution_outcomes:
    type: dataset
    dataset_name: near.execution_outcomes
    version: 1.1.0
    start_at: latest

transforms:
  failed_executions:
    type: sql
    primary_key: id
    sql: |
      SELECT
        id,
        block_hash,
        executor_id,
        status,
        gas_burnt,
        tokens_burnt,
        logs
      FROM execution_outcomes
      WHERE status <> 'SUCCESS'

sinks:
  postgres_output:
    type: postgres
    from: failed_executions
    schema: public
    table: failed_execution_outcomes
    secret_name: MY_POSTGRES_SECRET
    primary_key: id
The id field on execution outcomes is either the receipt ID or the transaction hash, depending on whether the outcome was produced by a receipt or the top-level transaction.

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Guide: Monitor transactions for a specific account

Track all transactions involving a particular NEAR account: 
name: near-account-transactions
resource_size: s

sources:
  near_transactions:
    type: dataset
    dataset_name: near.transactions
    version: 1.1.0
    start_at: latest

transforms:
  account_transactions:
    type: sql
    primary_key: id
    sql: |
      SELECT *
      FROM near_transactions
      WHERE receiver_id = 'epic.poolv1.near'
        OR signer_id = 'epic.poolv1.near'

sinks:
  postgres_output:
    type: postgres
    from: account_transactions
    schema: public
    table: near_account_transactions
    secret_name: MY_POSTGRES_SECRET
    primary_key: id

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Performance tips

NEAR produces high volumes of receipts and execution outcomes. Apply filters as early as possible to reduce data volume:
transforms:
  filtered:
    type: sql
    sql: SELECT * FROM near_receipts WHERE receiver_id = 'wrap.near'
NEAR mainnet has high throughput. When backfilling the available history (see data coverage), consider medium or large resource sizes:
resource_size: m  # or l for large backfills
When building and testing pipelines, use start_at: latest to avoid processing large amounts of historical data:
start_at: latest  # Only process new data
For any questions or feedback, reach out at support@goldsky.com.