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Intent-Based Order Flow

UniswapX and CowSwap intent-based orders with solver competition

About This Dataset

Every intent submission from UniswapX and CowSwap. Includes order hash, token pair, amounts, winning solver, and execution details. Captures the Order Flow Auction (OFA) ecosystem.

Partitions

protocol: cowswap, uniswapx

Schema

Column	Type	Description
`time_chain`	`timestamp`	Order creation timestamp (UTC)
`time_local`	`timestamp`	Ingestion timestamp (UTC)
`order_hash`	`string`	Unique order identifier
`token_in`	`string`	Input token symbol
`token_out`	`string`	Output token symbol
`amount_in`	`float64`	Input amount
`amount_out`	`float64`	Executed output amount
`solver`	`string`	Winning solver address

Use Cases

Analyze solver competition and win rates
Study order flow auction efficiency
Track large intent orders by token pair
Compare CowSwap vs UniswapX execution quality

R2 Path

s3://algotick-data-lake/events/intents/protocol={protocol}/year=YYYY/month=MM/day=DD/node={node}/data.parquet

Replace YYYY, MM, DD with the target date. Data is collected from node=eu-central.

Query with DuckDB

import duckdb

df = duckdb.sql("""
    SELECT *
    FROM read_parquet(
        's3://algotick-data-lake/events/intents/protocol=cowswap/year=2026/month=04/day=20/node=eu-central/data.parquet'
    )
    LIMIT 100
""").df()

print(f"Rows: {len(df)}, Columns: {list(df.columns)}")

Download via API

import requests

resp = requests.get(
    "https://algotick.dev/v2/history/raw?dataset=intents&protocol=cowswap&date=2026-04-20",
    stream=True,
)

with open("intents.parquet", "wb") as f:
    for chunk in resp.iter_content(8192):
        f.write(chunk)

# Then query locally
import duckdb
df = duckdb.sql("SELECT * FROM 'intents.parquet' LIMIT 100").df()
print(df)

Get API Key →

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