Datasets:
Publish DEX swaps nightly 2026-05-12
Browse files- LATEST_DATE.txt +1 -1
- README.md +0 -14
- _manifest.json +6 -6
- swaps/date=2026-05-11/part-0000.parquet +2 -2
- swaps/date=2026-05-12/part-0000.parquet +3 -0
LATEST_DATE.txt
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2026-05-
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2026-05-12
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README.md
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@@ -4,14 +4,11 @@ pretty_name: Chainticks DEX Swaps
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tags:
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- finance
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- crypto
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- data-analysis
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- parquet
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- duckdb
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- pandas
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- polars
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- agent-friendly
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task_categories:
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- tabular-regression
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configs:
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- config_name: default
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data_files:
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Normalized DEX swap events decoded from public EVM chain logs.
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## Current Scope
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- **Coverage:** Ethereum Uniswap pool swap events captured by the Chainticks public-chain collector.
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- **Best for:** DEX flow inspection, venue-aware liquidity studies, and joining on-chain swap activity with perp/order-flow features.
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- **Cadence:** append-only partitions, normally refreshed by the Chainticks nightly publisher.
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- **Timestamps:** UTC ISO-8601 strings when available. Null timestamp fields mean the source event did not include a timestamp at collection time.
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```python
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import pandas as pd
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Rows must have `source_kind` in `['on_chain_event']`. Chainticks does not publish venue REST/API resale data in this dataset.
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## Known Limitations
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Bootstrap coverage is intentionally narrow while collectors are hardened. Rows are event facts, not full pool state snapshots.
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## Agent Prompt Snippet
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Use this dataset as append-only market context. Read `LATEST_DATE.txt`, inspect `_schema.json`, then load the relevant Parquet partition. Treat timestamps as UTC and preserve `source_kind` in downstream analysis.
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tags:
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- finance
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- crypto
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- parquet
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- duckdb
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- pandas
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- polars
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- agent-friendly
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configs:
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- config_name: default
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data_files:
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Normalized DEX swap events decoded from public EVM chain logs.
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```python
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import pandas as pd
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Rows must have `source_kind` in `['on_chain_event']`. Chainticks does not publish venue REST/API resale data in this dataset.
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## Agent Prompt Snippet
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Use this dataset as append-only market context. Read `LATEST_DATE.txt`, inspect `_schema.json`, then load the relevant Parquet partition. Treat timestamps as UTC and preserve `source_kind` in downstream analysis.
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_manifest.json
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{
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"dataset": "dex-swaps",
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"files": [
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"swaps/date=2026-05-
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],
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"generated_at": "2026-05-
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"public_source_kinds": [
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"on_chain_event"
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],
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"repo_id": "Chainticks/dex-swaps",
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"row_counts": {
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"swaps/2026-05-
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},
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"time_ranges": {
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"swaps/2026-05-
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"end":
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"start":
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"timezone": "UTC"
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}
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}
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{
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"dataset": "dex-swaps",
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"files": [
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"swaps/date=2026-05-12/part-0000.parquet"
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],
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"generated_at": "2026-05-12T03:55:37.561400+00:00",
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"public_source_kinds": [
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"on_chain_event"
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],
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"repo_id": "Chainticks/dex-swaps",
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"row_counts": {
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"swaps/2026-05-12": 4103
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},
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"time_ranges": {
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"swaps/2026-05-12": {
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"end": null,
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"start": null,
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"timezone": "UTC"
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}
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}
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swaps/date=2026-05-11/part-0000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d3b001f95ee16bc9be0d9bcec5e08d0fda7960888e70079def173ca907268d3
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size 24537
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swaps/date=2026-05-12/part-0000.parquet
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
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+
size 642758
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