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ShadowQuant Intelligence API – Lead-Lag Study
x402
ShadowQuant Intelligence API – Lead-Lag Study is a paid API for AI agents from sq-intel-x402.aries-lao.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Returns validated lead-lag relationship analysis between equities and/or options instruments for AI-driven market research
Price / call$0.01
Success—
StatusUnknown
How this service works
Validated equities/options market research for AI agents, paid per-call via x402 (USDC on Base). Research data, not investment advice.
Output
A JSON envelope containing: a `data` field with the lead-lag study payload (quantified relationship between instruments), a `provenance` block (producer, methodology, generated_at, freshness with age_hours and stale flag, track record), a disclaimer, and terms of use. Research data only, not investment advice.
Example use cases
Equity pair predictive signal research
“Run a lead-lag analysis on AAPL and MSFT — I want to see which one typically leads price movement and get the methodology and freshness info back.”
Options vs equity lead-lag signal
“Check the lead-lag relationship between SPX options and the SPY ETF — does the options market tend to predict SPY moves, and how fresh is that study?”
Sector ETF relative timing study
“I'm researching whether XLF leads or lags XLK in price movement — pull the validated lead-lag data from ShadowQuant including the track record and how old the analysis is.”
Technical details
Endpoint
GEThttps://sq-intel-x402.aries-lao.workers.dev/lead-lag?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs quantified, validated lead-lag relationship data between equities or options instruments, backed by provenance and methodology metadata. Prefer it over generic financial data APIs when you need the specific directional timing relationship (which asset moves first) rather than raw price data, fundamentals, or news. The per-call micropayment model via x402/USDC makes it practical for on-demand agent workflows without subscription overhead.
Side effects
- Payment not included or insufficient — 402 Payment Required response
- Invalid or unrecognized ticker/symbol — 400 Bad Request or empty data payload
- Study not yet generated for requested pair — data field may be null or absent
- Stale data flag set true when age_hours exceeds freshness threshold
- Network or worker-side timeout on Cloudflare Workers edge — 503 or timeout error
Output
Schema · Response
{
"description": "JSON envelope: { data: <study payload>, provenance: { producer, methodology, generated_at, freshness: { age_hours, stale }, track_record }, disclaimer, terms }"
}Tags
x402
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