tzkt-studying

name: tzkt-studying description: Queries TzKT for Tezos blockchain data and incrementally builds a local gitignored database of immutable records. Supports exporting selected subsets to live project folders for published work. Use when the user says "study", "study TzKT", "build a database of Tezos data", or when preparing TzKT-derived data for export into a project.

TzKT Studying

When you study, you query TzKT for recent (or requested) blockchain data and append it to a local database. The database stays gitignored. You can later export chosen parts of it into project folders that get published.

Where things live

Study workflow

1. Read cursor: Load .study/tzkt/meta.json if present. It holds lastLevel (and optionally lastTimestamp) per network for incremental fetch.
2. Query TzKT: Use docs/tezos-bible.md (section 4–5) for endpoints. Typical incremental queries:
   • Blocks: GET /blocks?level.ge={lastLevel}&limit=100&sort.asc=level
   • Transactions: GET /operations/transactions?level.ge={lastLevel}&limit=100&sort.asc=id
   • Token transfers: GET /tokens/transfers?level.ge={lastLevel}&limit=100&sort.asc=id
3. Append to DB: Write new records into .study/tzkt/{network}/ as NDJSON (one JSON object per line), e.g. blocks.ndjson, transactions.ndjson, token_transfers.ndjson. Deduplicate by id or level+hash when merging.
4. Update cursor: Write back meta.json with the new lastLevel (and head level if you fetched it).

Run study on a schedule or on demand. Prefer small batches (e.g. 100–500 records) so the DB grows slowly and stays usable.

Export workflow

1. Choose subset: By network, level range, address, operation type, or list of hashes. Filter from .study/tzkt/{network}/*.ndjson (or from in-memory load of those files).
2. Copy to project folder: Write the subset to the target path (e.g. docs/published/tzkt-export/ in this repo, or a path in another project). Use stable filenames (e.g. blocks.json, transactions.json) or a small manifest that lists files and filters used.
3. Do not export from .study in a way that commits the whole DB; only the chosen export directory in the target project may be committed.

Conventions

• Networks: Use subdirs mainnet and ghostnet under .study/tzkt/. Base URLs: https://api.tzkt.io/v1, https://api.ghostnet.tzkt.io/v1.
• Format: NDJSON for append-friendly storage. Use id or level for ordering and dedup.
• Meta: .study/tzkt/meta.json shape: { "mainnet": { "lastLevel": number }, "ghostnet": { "lastLevel": number } }.

When to apply

• User says "study", "study TzKT", "build the study database", or asks to "add TzKT data to the study".
• User wants to "export" TzKT knowledge or "copy study data to the project" (or to a published folder).
• Before adding new TzKT-derived features, check if studying has already collected relevant data; prefer reusing or exporting from the study DB when possible.

Reference

• TzKT endpoints and params: docs/tezos-bible.md (sections 4–5). Review before writing study or export logic.
• For schema details and example meta/NDJSON shapes, see reference.md.