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[ INTRODUCING ]

Institutional Fair Value
for Crypto Perpetual Markets

Traditional equity markets close at 4pm. Crypto synthetic equity perps trade 24/7. Get institutional-grade fair value when Bloomberg terminals go dark.

Checking API…14 Paid Routesx402 MicropaymentsHyperliquid, Veranta (formerly Avantis)
[ THE PROBLEM ]

The 24/7 Fair Value Gap

Crypto synthetic equity perpetuals trade around the clock on venues like Hyperliquid and Veranta (formerly Avantis). But institutional fundamentals only exist during market hours.

2:00 AM SundayYour bot is trading
Traditional Markets
NYSECLOSED
NASDAQCLOSED
BloombergOFFLINE
Analyst DesksDARK
Your trading bot: flying blind
Crypto Perpetuals
TSLA perpTRADING
NVDA perpTRADING
AAPL perpTRADING
Without a fundamental anchor, you overpay during thin liquidity, miss mean-reversion, and can't distinguish rich from cheap.

Traditional markets have institutional infrastructure.

Crypto perps have been guessing. Until now.

[ TRY IT ]

One Command to Start

No signup. No API keys. Copy a free endpoint and run it yourself.

terminal
$curl -s https://api.sigmagrid.app/v1/signals/TSLA
Copy the curl and run it for the live response, or press Show example to see the shape.
14Paid Endpoints
$0.02From, Per Call
0API Keys Needed
9Tickers
[ THE SOLUTION ]

Institutional Fundamentals, 24/7

We apply traditional equity derivatives models to crypto perpetual markets. We don't show you orderbook prices. We tell you what the price should be.

FAIR VALUE

Fair Value Anchors

Fair value for the seven largest US tech stocks (TSLA, NVDA, AAPL, MSFT, META, AMZN, GOOG) plus SPY and QQQ. Based on the underlying equity, volatility and macro sensitivity.

Available when traditional markets are closed.
DIVERGENCE

Macro Mispricing Detection

Compare perpetual prices against macro-adjusted fair value — not just against each other. Detect when the entire market is mispriced versus fundamentals, even when all venues agree.

Spot macro divergence before mean reversion kicks in.
EVENT RISK

Event Risk Protection

Event-risk detection for FOMC, CPI, earnings, and geopolitical shocks. Countdown timers, impact classification, directional bias, and volatility forecasts.

Trade smarter around macro catalysts.
[ HOW IT WORKS ]

Four Layers of Intelligence

Institutional Equity Models Applied to Crypto Perps

We model the underlying equities, then project fair value onto 24/7 perp markets.

→Fair value estimate (not just mid-price)
→Volatility forecasts (1h, 4h, overnight)
→Alpha signals and directional bias
→Regime classification (trend, chop, high-vol, low-vol)
→Macro sensitivity (beta to rates, dollar, vol index)

Example: at 3am Saturday a TSLA perp keeps trading while the stock market is shut. Fair value gives you a reference point anchored to the underlying, not to the perp's own book.

Macro Mispricing Detection

Compare perp prices against macro-adjusted fair value, not just against each other. When every venue agrees, they can still all be wrong.

→Premium/discount per venue vs fair value
→Divergence z-score with historical context
→Mean-reversion probability

Example: every venue quotes the same price, but all of them sit well below macro-adjusted fair value. A cross-venue comparison sees nothing; a fair-value comparison does.

Know When NOT to Trade

Not all market conditions are tradeable. We classify regime and risk indicators.

→Trend, chop, high-volatility, low-volatility regimes
→VIX context and 24h change
→Event-risk assessment and earnings proximity
→Cross-venue spread and execution cost

Event-risk flags: 'Elevated event risk — consider reducing exposure before announcement.' Protecting capital is alpha.

Simple Integration, Pay-Per-Use

No subscriptions. No minimums. No lock-in. x402 micropayments per query.

→GET /v1/signals/{ticker} — Free teaser (regime + event-risk)
→GET /v1/fair-value/{ticker} — Fair value (0.02 USDC)
→GET /v1/liquidity/{ticker} — Execution cost by size and venue (0.03 USDC)
→GET /v1/alpha-snapshot/{ticker} — Full snapshot (0.03 USDC)

Any HTTP client with an x402 payment library works: Python, Node, Rust.

[ DISCOVERY ]

Machine-Readable by Design

Agents can find, price and call SigmaGrid without a human in the loop.

Discovery Protocols
{}OpenAPI 3.1Live
TXTllms.txtLive
402x402 PaymentsReady
A2AAgent descriptor (agent.json)Planned
MCPModel Context Protocol toolsPlanned
8004ERC-8004 IdentityPlanned
[ USE CASES ]

Who Uses SigmaGrid

BOTS

AI Trading Bots

Is this a good entry at 2am Sunday? Check the perp against fair value before you trade, and check what your size costs on each venue.

→A reference price off-hours
LIQUIDITY

Market Makers

Quote bid/ask around institutional fair value. Detect stale venues. Adjust spreads during high-vol regimes.

→An independent quoting anchor
SYSTEMATIC

Crypto Hedge Funds

Fair value time series, regime classifications and event context for research and strategy development.

→Historical data via /v1/historical
RISK

Portfolio Managers

Fair value against open positions, upcoming events, regime changes and cross-venue premiums.

→Risk inputs on demand
[ TRACK RECORD ]

No Published Track Record Yet

We are not publishing accuracy or edge figures until there is a live record to back them.

Live record

Collecting since4 Oct 2026
Published resultsNone yet
Backtest figuresNot shown
Signals are stored with their timestamps as they are produced. When the sample is large enough to mean something, we will publish the method, the sample size, the date range and the misses as well as the hits.
[ TRANSPARENT PRICING ]

Pay Per Query

x402 micropayments. No subscriptions. No minimums. You only pay for what you use.

SINGLE SIGNAL

Single Signal

8 focused endpoints

0.02USDC /req
→/v1/fair-value
→/v1/premium
→/v1/spread
→/v1/funding
→/v1/regime
→/v1/regime-basic
→/v1/event-risk
→/v1/events
Fair value + confidence
Per-venue premiums
Cross-venue spread
Funding z-scores
Regime classification
Event risk
BULK / BATCH

Bulk Access

Multi-ticker snapshots

0.05USDC /req
→/v1/snapshot
→/v1/alpha-snapshot/batch
Multi-ticker dashboard snapshot
Batch alpha snapshots
Portfolio-level analysis
All prices in USDC on Base via x402. /v1/signals is free (teaser). SPY and QQQ are fair value only: spread, funding, premium and liquidity refuse them with a 400 before any payment.
[ EXECUTION COST ]

What Your Size Costs, Venue by Venue

The cheapest venue for a $10k order is not always the cheapest for $1m. Thin books get expensive fast, so the best venue can change as size grows. The size where it changes is the crossover.

/v1/liquidity/{ticker} · 0.03 USDC
  • Cost in basis points per venue at $10k, $100k and $1m, from an order-book walk or the published spread
  • The cheapest venue at each of those sizes
  • The crossover size on a 13-step grid from $10k to $2.5m, on trading cost alone and with the one-way opening fee added
  • Each venue's fee, size cap and 24h volume, and why any venue was left out (not listed, no live price, market closed)
Read it this way
  • Costs exclude fees unless stated; fees are listed separately so you can add your own
  • A figure marked approximate came from an aggregated book rather than individual levels
  • SPY and QQQ have no tradeable perp on these venues, so they are fair value only and this route refuses them
TickerVenue$10k$100k$1mCrossover (trading cost)
TSLAHyperliquid————
Veranta (formerly Avantis)———
NVDAHyperliquid————
Veranta (formerly Avantis)———
AAPLHyperliquid————
Veranta (formerly Avantis)———
MSFTHyperliquid————
Veranta (formerly Avantis)———
METAHyperliquid————
Veranta (formerly Avantis)———
AMZNHyperliquid————
Veranta (formerly Avantis)———
GOOGVeranta (formerly Avantis)———One venue only, so no crossover

Venue coverage is current. Cost figures will appear here once a dated snapshot is published; until then, call /v1/liquidity for live figures.

[ FAQ ]

Frequently Asked Questions

Disclaimer

SigmaGrid provides data and model outputs for information only. Nothing here is investment, financial, legal or tax advice, or a recommendation to buy, sell or hold anything. Fair values, signals and cost estimates are model estimates. They can be wrong, late or unavailable, and past or simulated results do not predict future results.

Trading perpetual futures carries a high risk of loss, including the loss of all the margin you post. You are responsible for your own decisions. Each paid call is charged when it is served, whatever the result, and there is no warranty of accuracy, completeness or uptime.

[ GET STARTED ]

Start Trading with Institutional Signals

QUICKSTART

From zero to signals in 60 seconds

Free curl one-liner. Decision loop examples. Python & Node snippets. x402 payment walkthrough. No signup required.

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DOCUMENTATION

Complete API reference

14 paid routes across 3 price points, plus free discovery. Code examples, field reference and agent integration guides.

API Documentation