Get Started Book Consultation
Aleatoric Systems // Kinetic Stress

Deterministic Synthetic Market Data for Quant Research, Risk, and Execution Teams

Backtests fail when they only learn from one historical path. Aleatoric generates deterministic, venue-aware synthetic data so your team can test strategy behavior across thousands of controlled market regimes.

Every dataset is reproducible with fixed seeds and manifest metadata. Re-run incidents, compare model revisions, and produce audit-ready evidence for model governance and capital-risk signoff.

Validate decisions under stress before production exposure: liquidity shocks, funding divergence, and microstructure drift.

BOOK CONSULTATION GET API TOKEN TRY PLAYGROUND
MCP CONFIG 
{
  "mcpServers": {
    "aleatoric": {
      "url": "https://mcp.aleatoric.systems",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}
aleatoric-engine
$ aleatoric generate \ --preset hyperliquid_perp_sol \ --duration 3600 --seed 42 Manifest locked: deterministic regime Feed: L2 books + trades streaming... Funding: curve calibrated for venue Output: ./artifacts/sol_perp.parquet
MODE: DETERMINISTIC SEED: 42
Playground

GENERATE MODELED DATA

Try a sample generation with mock data. Choose a preset, set parameters, and see the output format.

300s
OUTPUT PREVIEW Parquet Schema
timestamp side price size order_id
1703894400000bid104.2315.50x8a3f...
1703894400050ask104.258.20x9b4e...
1703894400100bid104.2222.00x7c5d...
1703894400150ask104.2612.80x6d2c...
1703894400200bid104.215.30x5e1b...
Showing 5 of 15,000 rows

Download Sample Data

Enter your work email to download the sample Parquet file.

We respect your privacy. Your information will only be used to provide access and relevant updates.

This is a static preview. Get your API key to generate real datasets.

Quick Start

GET STARTED IN 3 STEPS

From API key to first dataset in under 5 minutes.

01

Get Your API Key

Sign up for a free account or start your 14-day trial. No credit card required for the free tier.

Create Account
02

Configure Your Client

Add the MCP config to Claude Desktop, Cursor, or any MCP-compatible client. 

{
  "mcpServers": {
    "aleatoric": {
      "url": "https://mcp.aleatoric.systems",
      "headers": {
        "Authorization": "Bearer $API_KEY"
      }
    }
  }
}
03

Generate Your First Dataset

Use natural language or direct API calls to generate modeled market data. 

"Generate 1 hour of SOL perpetual
order book data with Kinetic Stress
funding regime at seed 42"
READ THE DOCS GET API KEY BOOK CONSULTATION
Research Vocabulary

DETERMINISTIC MARKET MODELING LEXICON

Sourced from our deterministic market modeling research and companion deck. This is the product lexicon for a manifest-first data engine—moving beyond brittle historical logs to verifiable synthetic evidence.

// DATA GAP

Historical data fails under drift.

Backtests collapse when regimes shift and liquidity vanishes. You need deterministic scenarios that can be re-run, tuned, and inspected.

  • Regime gaps: historical logs miss the scenarios that matter.
  • Non-reproducible runs: pipelines shift and invalidate comparisons.
  • Replay first: reproduce failure modes to validate mitigations.
// DETERMINISTIC SYNTHESIS

Manifests + fixed seeds.

The white paper's architecture pairs manifest-driven generation with venue-accurate microstructure. It is the blueprint we implement in Aleatoric deterministic tooling.

  • Manifests: describe regimes, presets, and data contracts.
  • Fixed seeds: guarantee replayable datasets across runs.
  • Artifacts: Parquet outputs with metadata and provenance.
// VALIDATION LEXICON

Measurable assurance, not guesswork.

The support visuals translate deterministic modeling into audit-ready metrics and a market example.

  • Determinism, realism, and coverage are tracked like SLOs.
  • Case study: stress regimes validate strategy resilience.
  • Threshold controls expose where liquidity and funding diverge.

Access Research Papers

Enter your details to download our deterministic market modeling papers and technical documentation.

We respect your privacy. Your information will only be used to provide access and relevant updates.

Methods

THE SCIENCE BEHIND KINETIC STRESS

Explore the core methodologies that power deterministic synthetic market data and audit-ready stress testing.

Stochastic Modeling

Design deterministic regimes that surface tail-risk behavior.

Bayesian Calibration

Align synthetic outputs to priors and observable constraints.

Monte Carlo Pipelines

Scale deterministic simulations across scenario grids.
View Methods Index
What Teams Say

TRUSTED BY QUANT TEAMS

"We ran Kinetic Stress scenarios on our liquidation engine using Aleatoric's funding regimes. Found an edge case that would have cost us $2M in prod."
Head of Risk DeFi Protocol
"Finally, reproducible backtests. Same manifest, same seed, same results every time. Our audit team loves it."
Quant Researcher Prop Trading Firm
"We replaced 3 months of historical data ETL with one API call. The modeled data is statistically indistinguishable from real venue feeds."
CTO Trading Infrastructure Startup
Pricing

SIMPLE, TRANSPARENT PRICING

14-day free trial on Starter. All plans include deterministic outputs and audit-ready artifacts.

14-DAY FREE TRIAL
STARTER
$249/mo
Try free for 14 days
  • 100k MCP pulls / month
  • 5M modeled events included
  • 5 presets
  • Parquet exports + manifests
  • Email support
Overages: $0.50/1k pulls
START FREE TRIAL
RECOMMENDED
PRO
$1,250/mo
Production-ready
  • 1M MCP pulls / month
  • 50M modeled events included
  • S3 artifact backend
  • HyperLiquid/Binance/CME venues
  • Funding regime simulation
  • Prometheus metrics
  • Priority email support
Overages: $0.50/1k pulls
GET STARTED
ENTERPRISE
CUSTOM
Full control
  • All Pro features +
  • Custom venue calibration
  • Dedicated infrastructure
  • Compliance documentation
  • Unlimited requests
  • SLA + priority support
Committed discounts available
BOOK CONSULTATION
FAQ

FREQUENTLY ASKED QUESTIONS

What's an MCP pull?

Each request to the Aleatoric API to generate data counts as one MCP pull. A typical backtest simulation might use 10-50 pulls depending on the duration and granularity of data needed. The modeled data is generated on-demand and delivered in your chosen format (Parquet, JSON, or CSV).

Can I use this without Claude or Cursor?

Yes. While Aleatoric is MCP-native and works seamlessly with Claude Desktop and Cursor, you can also use our standard HTTPS REST API directly. Any HTTP client or programming language can integrate with Aleatoric.

Is the modeled data realistic?

Yes. Our modeled market data is calibrated against real venue microstructure patterns. Order book dynamics, trade distributions, and funding rate behaviors are statistically modeled from actual exchange data. The key difference is reproducibility: same seed + same manifest = identical output every time.

What output formats are supported?

Parquet is the default and recommended format for performance and compatibility with data analysis tools. We also support JSON for web applications and CSV for spreadsheet workflows. All formats include the same schema and can be converted between each other.

Can I cancel anytime?

Yes. All plans are month-to-month with no long-term contracts required. You can cancel or downgrade at any time from your dashboard. Annual billing offers a 17% discount for teams that want to commit.