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Get Started Free →Discover available blockchain datasets for Turbo pipelines. Use when exploring what data Goldsky offers, finding chain prefixes, or selecting the right dataset for a pipeline.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-16 | ✗→✓ | ▲ Improved | 69% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 108% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 26% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 84% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 153% | 0% |
Explore and discover available blockchain datasets for Turbo pipelines.
Invoke this skill when the user:
/goldsky-datasets> IMPORTANT - Avoid goldsky dataset list: This command is slow (30-60+ seconds) and often times out. Use the reference tables below instead. Only run the command if you need to verify a specific dataset exists or find an exact version.
When this skill is invoked:
Do NOT run goldsky dataset list upfront. Instead:
goldsky turbo validate on a test YAML to verify a dataset exists (fast, ~3 seconds)goldsky dataset list | grep "specific_name" if you need version infoBased on what they're building, recommend directly from the reference:
| User Need | Dataset | Version | | ------------------------ | ---------------------------------------- | ------------------------- | | Token transfers (ERC-20) | <chain>.erc20_transfers | 1.0.0 (eth), 1.2.0 (base) | | NFT transfers (ERC-721) | <chain>.erc721_transfers | 1.0.0 | | All transactions | <chain>.raw_transactions | 1.0.0 | | Event logs | <chain>.logs or <chain>.raw_logs | 1.0.0 | | Block data | <chain>.blocks or <chain>.raw_blocks | 1.0.0 |
ALWAYS validate the dataset exists before giving it to the user:
bash# Quick validation test (fast, ~3 seconds) goldsky turbo validate - <<'EOF' name: test resource_size: s sources: test: type: dataset dataset_name: <chain>.<dataset_type> version: 1.0.0 start_at: latest transforms: {} sinks: out: type: blackhole from: test EOF
If validation fails with "Dataset not found", try alternate naming (see Verified Dataset Reference).
> Detailed dataset and chain information is in the data/ folder.
| File | Contents | | ------------------------ | ------------------------------------------------------------ | | verified-datasets.json | All validated datasets with versions, schemas, and use cases | | chain-prefixes.json | All chain prefixes, chain IDs, and common mistakes |
Data location: data/ (relative to this skill's directory)
| Action | Command | Notes | | ------------------ | ------------------------------------- | ---------------------------- | | Validate dataset | goldsky turbo validate file.yaml | Preferred - fast (3s) | | Search for dataset | goldsky dataset list \| grep "name" | Slow (30-60s), use sparingly | | List all datasets | goldsky dataset list | Very slow - avoid |
| What You Need | Dataset | Example | | ------------------------ | -------------------------- | ------------------------------------ | | Token transfers (ERC-20) | <chain>.erc20_transfers | base.erc20_transfers (v1.2.0) | | NFT transfers (ERC-721) | <chain>.erc721_transfers | ethereum.erc721_transfers (v1.0.0) | | Transactions | <chain>.raw_transactions | ethereum.raw_transactions (v1.0.0) | | Event logs | <chain>.raw_logs | base.raw_logs (v1.0.0) | | Solana tokens | solana.token_transfers | v1.0.0 | | Bitcoin transactions | bitcoin.raw.transactions | v1.0.0 | | Stellar transfers | stellar_mainnet.transfers| v1.1.0 |
> Important: Use raw_transactions, NOT transactions
| Chain | Prefix | Note | | --------- | ------------------ | --------------------------------- | | Ethereum | ethereum | | | Base | base | | | Polygon | matic | NOT polygon | | Arbitrum | arbitrum | | | Optimism | optimism | | | BSC | bsc | | | Avalanche | avalanche | | | Solana | solana | Uses start_block not start_at | | Bitcoin | bitcoin.raw | Uses start_at like EVM | | Stellar | stellar_mainnet | Uses start_at like EVM |
See data/chain-prefixes.json for complete list with chain IDs.
| Dataset Type | Description | Use Case | | ------------------- | --------------------------- | ------------------------------------ | | blocks | Block headers with metadata | Block explorers, timing analysis | | raw_transactions | Transaction data | Wallet activity, gas analysis | | raw_logs | Raw event logs | Custom event filtering | | raw_traces | Internal transaction traces | MEV analysis, contract interactions | | erc20_transfers | Fungible token transfers | Token tracking, DeFi analytics | | erc721_transfers | NFT transfers | NFT marketplaces, ownership tracking | | erc1155_transfers | Multi-token transfers | Gaming, multi-token standards | | decoded_logs | ABI-decoded event logs | Specific contract events |
> Important: Use raw_transactions, NOT transactions. Use raw_logs, NOT logs (though logs works as an alias on some chains).
| Dataset Type | Description | Use Case | | -------------------------------- | --------------------------------- | ---------------------------- | | blocks | Block data with leader info | Chain analysis | | transactions | Transaction data with balances | Wallet activity | | transactions_with_instructions | Transactions + nested instructions| Multi-instruction analysis | | instructions | Individual instructions | Program-specific analysis | | token_transfers | SPL token transfers | Token tracking | | native_balances | SOL balance changes | Whale tracking | | token_balances | SPL token balance changes | Portfolio tracking | | rewards | Validator rewards | Staking analysis |
| Dataset Type | Description | Use Case | | ---------------------- | ------------------------ | ---------------------------- | | bitcoin.raw.blocks | Block data (hash, difficulty, size) | Network analysis | | bitcoin.raw.transactions | Transactions (inputs, outputs, values) | Payment tracking |
All datasets use version 1.1.0:
| Dataset Type | Description | Use Case | | ---------------------------------- | --------------------------------- | ---------------------------- | | stellar_mainnet.transactions | All network transactions | Account monitoring | | stellar_mainnet.transfers | All transfer events | Asset tracking | | stellar_mainnet.events | All events (contract + operation) | Contract monitoring | | stellar_mainnet.operations | Operations within transactions | Action tracking | | stellar_mainnet.ledger_entries | Ledger state changes | State analysis | | stellar_mainnet.ledgers | Ledger metadata | Network analysis | | stellar_mainnet.balances | Account balance changes | Balance tracking |
All datasets follow the pattern: <chain_prefix>.<dataset_type>
Examples:
ethereum.erc20_transfers - ERC-20 transfers on Ethereum mainnetbase.logs - All event logs on Basematic.blocks - Block data on Polygonsolana.token_transfers - SPL token transfers on SolanaDatasets are versioned. To find available versions:
bashgoldsky dataset list | grep "base.erc20"
Common versions:
1.0.0 - Initial version1.2.0 - Enhanced schema (common for ERC-20 transfers)When in doubt, use the latest version shown in goldsky dataset list.
base.erc20_transfersyamltransforms: usdc_only: type: sql primary_key: id sql: | SELECT * FROM source_name WHERE address = lower('0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913')
Dataset: ethereum.erc721_transfers
<chain>.logs for raw events, or <chain>.decoded_logs for decoded eventsUse multiple sources in your pipeline:
yamlsources: eth_transfers: type: dataset dataset_name: ethereum.erc20_transfers version: 1.0.0 start_at: latest base_transfers: type: dataset dataset_name: base.erc20_transfers version: 1.2.0 start_at: latest
Error: Source 'my_source' references unknown dataset 'invalid.dataset'Fix:
matic not polygon)erc20_transfers not erc20)goldsky dataset list to see all available optionsIf you can't find a chain in the tables above:
bashgoldsky dataset list | grep -i "<chain_name>"
Some chains use non-obvious prefixes (e.g., Polygon uses matic).
Error: Version '2.0.0' not found for dataset 'base.erc20_transfers'Fix: Check available versions:
bashgoldsky dataset list | grep "base.erc20_transfers"
Use a version that exists in the output.
/turbo-pipelines - Create pipelines using discovered datasets/goldsky-auth-setup - Set up CLI authentication firstOther measured skills in the registry, with their headline benchmark lift.