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Comparison

A Laevitas alternative for perp microstructure data, and when to keep Laevitas

Laevitas is a derivatives analytics platform built around options: chains, Greeks, block flows and term structure, plus perpetuals, dated futures and order books, across Binance, Deribit, OKX, Bybit and Hyperliquid. Aperiodic is narrower: point-in-time microstructure metrics for Binance, OKX and Hyperliquid perps, delivered as parquet. If options are your market, keep Laevitas. If you want perp order flow, liquidity and trading cost in a backtest, through an API, Aperiodic costs less to get there.

On Laevitas now? Have your agent compare the two on your own code. Start in Claude · Claude Code · Codex · See the prompt

Laevitas plans and prices checked November 5, 2026; API details checked October 1, 2026. Its website and API documentation remain the authority on current terms.

Where Laevitas wins

  • Options. Laevitas sells option chains, Greeks and trade flows including blocks (API docs, checked October 1, 2026). We have no options data at all.
  • Venues and instruments. Its API covers Binance, Deribit, OKX, Bybit and Hyperliquid, with options, perpetuals and dated futures (laevitas.ch, checked November 5, 2026). We cover perpetuals on Binance, OKX and Hyperliquid.
  • Liquidations. Its derivatives data includes liquidations (API docs). We have none.
  • A cheap way to look. Premium is $50 a month per seat, with 1 year of history and CSV exports (pricing, checked November 5, 2026).

If you trade options or Deribit, buy Laevitas. The rest of this page is about perps.

Where Aperiodic is the better alternative

The API comes with the free plan. Laevitas lists API historical data on Enterprise, at $500 a month per seat (pricing, checked November 5, 2026). Aperiodic is free for every metric over 2025 on BTC, ETH, SOL and 10 RWA perps, on all three venues. That includes the API and the Python SDK. Pro, at $199 a month billed yearly ($249 month to month), adds every perp and 5 years of history from 1-minute to 1-day bars (pricing).

History arrives as files. Laevitas API responses return up to 1,000 rows per request with cursor pagination, and its raw L2 snapshots are kept for 30 days (API reference, checked October 1, 2026). A year of 1-minute bars for one series is 525,600 rows, so 526 requests. Aperiodic returns parquet files covering the range you ask for. Here is one, pulled with no API key:

# Install the Aperiodic CLI into ~/.local/bin
mkdir -p "$HOME/.local/bin"
curl -fsSL https://raw.githubusercontent.com/aperiodic-io/cli/main/install.sh | INSTALL_DIR="$HOME/.local/bin" bash
export PATH="$HOME/.local/bin:$PATH"

aperiodic impact --preview --exchange binance-futures --symbol perpetual-BTC-USDT:USDT \
  --interval 5m --timestamp exchange --start-date 2025-05-01 --end-date 2025-05-31 \
  --output-dir ./data && echo "Saved to $PWD/data"

One parquet file: 8,928 rows, every 5-minute bar in May 2025, with 5 price-impact metrics per bar, among them a Kyle's lambda and an Amihud illiquidity estimate (impact).

# pip install pandas pyarrow
import pandas as pd
df = pd.read_parquet("data/2025-05.parquet")
print(df.shape)  # (8928, 6): time + 5 price-impact metrics
print(df[["kyle_like_lambda", "amihud_like"]].describe())

Or have your agent run it and read the file for you:

paste into your agent
Read https://aperiodic.io/start.md and follow it. Then pull the free `impact` preview and show me when in the day Kyle's lambda is highest.

Open inClaude Desktop·Claude Code (terminal)·Codex

Or add it toClaude·ChatGPT·Cursor·VS Code

Published bars do not change. Laevitas corrects history and publishes the changes in a machine-readable correction feed (historical data), and its responses carry no ingestion timestamp (data products, both checked October 1, 2026). Corrections are honest, and they also mean a backtest run twice can read two different histories. Aperiodic metrics are point-in-time, with exchange and local timestamps, and a published bar is not recalculated. You can also build every bar on local time, when the data reached our collectors closest to the exchange, so a backtest sees only what had arrived by each bar's close.

Trading costs as well as positioning. Besides funding, open interest and basis, Aperiodic ships slippage paid by each taker trade, price impact, trade size distribution and order flow by trade size: 220 metrics across 19 datasets (catalog). Every other vendor's entry price is on crypto market data pricing, vendor by vendor.

What every plan gives a backtest

  • Every perpetual on Binance, OKX and Hyperliquid stays in the data after it is delisted, so a backtest sees the coins that were listed at the time, including the ones that later died.
  • Published bars are never recalculated. A backtest you run next year reads the same history as one you run today.
  • Every metric comes on exchange time or on local time (when the data reached us). On local time, a bar only holds what you could have seen by its close.
  • Prime and above have no API rate limits, and Pro has high ones. The Python SDK downloads 10 files at a time by default.

Side by side

LaevitasAperiodic
Built aroundOptions and derivatives analyticsPerp microstructure metrics
Venues (API)Binance, Deribit, OKX, Bybit, HyperliquidBinance futures, OKX perps, Hyperliquid perps
OptionsChains, Greeks, trade flows including blocksNone
API historyEnterprise, $500/month per seatPro, $199/month billed yearly
History by planFree 1 week; Premium 1 year5 years on Pro; full history on Prime
Bulk historyUp to 1,000 rows per request, paginatedParquet files per date range
TimestampsNo ingestion timestamp in responsesExchange and local timestamps; every metric built on either clock
CorrectionsHistory corrected, with a correction feedPoint-in-time; published bars are not recalculated
Expired instrumentsCan still be requestedKept, on every covered venue
Rate limitsHigh-throughput API only on Custom EnterpriseNone on Prime and above, high on Pro; parallel downloads
PaymentUSDC, prepaid, no automatic renewalCard, billed monthly or yearly

Laevitas plans checked November 5, 2026 against its pricing page; API details checked October 1, 2026 against its API docs and API reference. Plans change; check their site before you buy.

From Laevitas data to Aperiodic datasets

On LaevitasOn Aperiodic
Perpetual funding ratesfunding: funding_rate and how often it updates
Open interestopen_interest: level, notional, change, volatility
Buy and sell volume per barflow: taker buy and sell volume, by trade size
Order book liquidity and imbalance by levell2_imbalance and l2_liquidity at 5 to 25 levels; l1_liquidity at the top (Prime)
Basis and term structurebasis for perps against their index; no dated futures
Options chains, Greeks, block flowsNot available. Keep Laevitas for this.
LiquidationsNot available.

Which one to buy

Choose Laevitas for options: chains, Greeks, block flows and term structure, or for Deribit and dated futures. Its $50 Premium plan is a cheap way to chart all of it.

Choose Aperiodic if you want perp order flow, slippage, price impact and liquidity metrics in a backtest through an API, with years of 1-minute history, for less than an Enterprise seat.

Desks that trade both use both: Laevitas for the options book, Aperiodic for the perp research.

Questions teams ask us

How much does Laevitas cost?
As of November 5, 2026, Laevitas has a free plan with 1 week of history, Premium at $50 a month per seat with 1 year of history and CSV exports, Enterprise at $500 a month per seat with API historical data, and a custom plan with a high-throughput API. Premium and Enterprise are paid in USDC, prepaid.
Does the Laevitas Premium plan include the API?
Its pricing page lists API historical data on Enterprise, at $500 a month per seat, and CSV exports on Premium. Aperiodic includes API and SDK access on Pro, at $199 a month billed yearly.
Is Aperiodic a Laevitas alternative for options?
No. Aperiodic has no options data. For chains, Greeks and block flows, Laevitas is the stronger product.
Can I try Aperiodic without paying?
Yes. The preview command on this page pulls a preview slice as parquet with no API key and no account.

Pull a month of perp data before you pick a seat

Every dataset in the catalog has a preview slice you can download as parquet with no API key, plus full column documentation. Judge the data on your own machine, then pick a plan.

Browse the catalogSee pricingBook a call

Shown: minute lows of the 465 Binance perpetuals, 20:40–22:00 UTC on 10 Oct 2025, with BTC’s path traced · built with ohlcv 1m

Keep reading

  • Aperiodic vs. CoinGlassDays of 1-minute history, or years of it?
  • Price impactKyle's lambda, Amihud illiquidity and impact per notional, per bar.
  • SlippageWhat each trade paid against the prevailing quote, in bps, per bar.
  • Crypto market data pricingWhat every vendor charges to start, sourced and dated.
Aperiodic

Built from hundreds of terabytes of raw data and distilled into point-in-time metrics you can pull as parquet files. Plus the raw trades, quotes and derivatives data behind them.

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