Catalyst Foundational Metadata

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

   • find id on: https://api.coinpaprika.com/v1/coins
   • add to dbt_subprojects/tokens/models/prices/prices_native_tokens.sql

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.