dataforge-labs/solana-dex-execution

Solana DEX quotes and routing

Jupiter swap quotes at fixed SOL input sizes, with the route legs returned for each quote. The panel supports comparisons of quoted output, reported price impact and routing across sizes and observation times.

Contents

Table	Record
solana_swap_quotes	A pair and input amount, with quoted output, price impact, value and route-leg count
solana_swap_routes	A leg of the chosen route, including venue, amounts and allocation

Using the data

Join quotes and routes on (round_ts, input_symbol, output_symbol, in_amount). Inspect n_legs and each leg's percent when analysing split routes. The configured size ladder is 1, 50 and 1,000 SOL across five pairs, all with SOL as the input.

price_impact_pct is Jupiter's reported estimate. amm_report_raw preserves the provider's venue report as JSON. Entries may refer to amounts outside the requested pair or contain error strings; they should not be converted directly into competing-venue prices.

Limitations

• The panel records one aggregator's responses. Its selected route does not establish the best price available across the entire market.
• Quotes are indicative and are not executed by the collector. Transaction landing, priority fees, slippage and intervening pool changes affect actual results.
• SOL-input quotes do not provide both legs of a closed trading cycle.
• Failed requests have explicit error rows with null measurements. Separate these from successful quotes with unusual routes.
• Sampling captures periodic snapshots and misses changes between requests.

Files and access

Data is stored as Parquet files under table_name/YYYY/MM/, with partitions for collection windows. Each measurement table has a fixed 7-day sample beginning at its configured collection start date. The sample windows in this repository span 2026-08-30 to 2026-09-05. Availability within each window depends on successful collection. The public sample dates remain fixed as additional history accumulates privately. Contact DataForge through the discussions tab to enquire about additional history.

Load a table

Install datasets and pandas to run this example. The train split contains all observations in the selected table; it is not a predefined modelling split.

from datasets import load_dataset

data = load_dataset("dataforge-labs/solana-dex-execution",
                    "solana_swap_quotes", split="train")
df = data.to_pandas()

Coverage

collection_runs records collection windows, poll counts and failures. It is published in full and may cover dates beyond the fixed data sample. Collection gaps are not interpolated. Use this table together with measurement timestamps and error fields to assess coverage.

License and contact

The public sample is published under ODC-BY. Attribute it to "DataForge (dataforge-labs)". For questions about the data or access to additional history, open a discussion in this repository.

Earlier file paths

Each table is stored under a directory with the same descriptive name. The file contents and date partitions are unchanged. Scripts using an earlier directory name should use the corresponding table name below, or pin downloads to revision before-folder-rename-20260915 to access the original layout. Internal collector IDs are retained in the private archive and may appear in raw coverage records.

Current table and directory	Earlier directory
solana_swap_quotes	e24_solana_quotes/
solana_swap_routes	e24_solana_routes/
collection_runs	e0_run_manifest/