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catalyst-foundational-metadata

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Set up new chain foundational metadata (evms_info, prices, base sources, evms_blockchains_list)

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catalyst foundational metadata

overview

sets up foundational metadata for a new chain.

when to use: use when adding a new chain's foundational metadata (evms_info, native/prices tokens, base sources, and evms_blockchains_list).

parameters

  • <issue_id>: linear issue id (e.g., CUR2-554)
  • <chain>: chain name (e.g., kaia, monad)

usage

/catalyst-foundational-metadata CUR2-554 xlayer

dune mcp server: user-dune-mcp. for ad-hoc sql, prefer temporary execution if the dune mcp supports it in-session. only create saved/throwaway queries with createDuneQuery when temporary execution is not available or when a later step explicitly needs a query_id. fallback sequence when query_id is required: create query with createDuneQuery (pass sql in query) -> run with executeQueryById (using returned query_id) -> fetch rows with getExecutionResults (using returned execution_id).

conventions

  • execution order: numbered items = execute sequentially. any step that says "run" or "execute" is blocking; complete it before proceeding.
  • code patterns: use existing chain patterns as reference (e.g. dbt_subprojects/dex/models/trades/kaia/, .../mezo/). ordering: mimic existing; if unclear, append. swap chain name in: file paths, model names, schema entries, blockchain values.
  • contributors: new files: set git username only. existing files: append git username.

prep vars

  • retrieve chain metadata: run this sql via the ad-hoc sql sequence above: select * from dune.blockchains where name = '<chain>' (substitute <chain> with the chain name). extract: chain_id, name (display name), token_address (native token).
  • retrieve first_block_time: run this sql via the ad-hoc sql sequence above: select min(time) from <chain>.blocks where number <> 0 (substitute <chain>).

git workflow

  1. verify main is up to date: fetch latest, pull if behind, exit if diverged.
  2. create branch: name <issue_id>-<chain>-foundational-metadata, create off main, checkout, warn if exists. don't commit/push anything.

steps

  1. add evm chain info

    • edit dbt_subprojects/daily_spellbook/models/evms/evms_info.sql
    • append VALUES row: (chain_id, '<chain>', 'Name', 'Layer 1/2', ...)
    • use prep vars: chain_id, name, first_block_time, token_address
    • find: explorer, wrapped_native_token_address
    • IMPORTANT: the wrapped_native_token_address column must be the wrapped token contract (e.g., WETH, WHBAR), NOT the native/zero address
  2. add native token

  3. create prices tokens model

    • create dbt_subprojects/tokens/models/prices/<chain>/prices_<chain>_tokens.sql
    • check chain docs for token addresses & symbols
    • if not found: use dune mcp executeQueryById with query_id: 6293737, query_parameters: [{"key":"chain","value":"<chain>","type":"text"}] (substitute <chain>)
    • identify key tokens (wrapped native token, top 5 transferred, stables, WETH)
    • DO NOT include the native token — it is already in prices_native_tokens.sql. Duplicating creates dupes in prices.day/hour/minute pipelines
    • find ids on coinpaprika (https://api.coinpaprika.com/v1/search?q=<token>&categories=currencies), add to VALUES
    • ALL token_ids must exist and be active on CoinPaprika. CI runs scripts/check_tokens.py which validates every ID — missing/inactive IDs fail the build
  4. create schema file

    • create dbt_subprojects/tokens/models/prices/<chain>/_schema.yml
  5. add to prices union

    • edit dbt_subprojects/tokens/models/prices/prices_tokens.sql
    • add ref('prices_<chain>_tokens') to fungible_prices_models
  6. define raw data sources

    • create sources/_base_sources/evm/<chain>_base_sources.yml
    • create sources/_base_sources/evm/<chain>_docs_block.md
    • use existing patterns or scripts/generate_evm_*.py
  7. integrate into aggregate EVM models

    • add <chain> to dbt_subprojects/daily_spellbook/macros/helpers/evms_blockchains_list.sql
  8. final checks

    • From repo root: run uv sync --locked, then run uv run dbt compile in dbt_subprojects/tokens and in dbt_subprojects/daily_spellbook. Fix any errors.