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HyperNatt Execution Context Compare
x402
HyperNatt Execution Context Compare is a paid API for AI agents from hypernatt.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-02).
Compares a current Hyperliquid market execution context against a stored baseline to surface divergence signals for BTC microstructure analysis.
Price / call$0.001
Success—
StatusUnknown
How this service works
HyperNatt Terminal — 6 MCP tools for AI agents: liquidation radar, Hyperliquid execution quotes, context comparison, fill reconciliation and LI.FI cross-chain swaps. Free manifest and daily tool/token trials; paid data calls 0.001 USDC via x402.
Output
Returns a JSON object with a boolean 'ok' field, a 'product' string identifying the signal type, a 'result' object containing the comparison delta and execution context analysis, a 'baseline' object echoing the submitted reference, and a 'delivery' object with metadata about the response. The result captures how the current or replayed market state diverges from the caller's baseline.
Example use cases
BTC microstructure drift detection
“I have a baseline execution context I saved from my last HyperNatt quote — can you compare it against the current Hyperliquid L2 book and tell me what's changed in the BTC market structure?”
Historical observation replay comparison
“Replay this F310 observation I have and compare it against my stored HyperNatt baseline — I want to see the divergence in execution context without using live data.”
Pre-trade execution context validation
“Before I place this BTC trade on Hyperliquid, can you run a comparison of my stored execution baseline against the current market context through HyperNatt to flag any significant shifts?”
Technical details
Endpoint
POSThttps://hypernatt.com/api/m2m/execution-context/compare?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a previously stored execution context baseline from a HyperNatt quote or compare result and want to measure how the current Hyperliquid BTC market microstructure has evolved. Prefer this over raw L2 book lookups when you need structured delta analysis relative to a personal reference point, or when you want to replay a historical F310 observation in a controlled comparison without live data trust. Best suited for iterative trading analysis workflows where baseline state is maintained client-side.
Side effects
- Missing or malformed 'baseline' object returns validation error
- Baseline object from an incompatible prior endpoint version may be rejected
- F310 observation values provided as 'observation' are treated as historical only — passing live data expecting real-time trust will yield historically-evaluated results
- Network or Hyperliquid API unavailability may cause delayed or failed public meta/L2Book fetch when observation is omitted
- Payment failure via x402 protocol prevents endpoint access
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| baselinerequired | object | Exact baseline object from a prior quote/compare result; retain it client-side. Caller-owned and unsigned, no server session. |
| observation | object | Optional replay observation from F310. Caller-supplied values are ALWAYS evaluated historically, never trusted as live. Omit to fetch public meta+l2Book. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| okrequired | boolean | |
| resultrequired | object | |
| productrequired | string | |
| baseline | object | |
| deliveryrequired | object |
Tags
x402
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