AgentFeed Tokenized Stock Peg by Trading Session is a paid API for AI agents from x402.ochinimus.app, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-01).
Returns tokenized equity peg deviation broken down by trading session (open, premarket, afterhours, overnight, weekend) with mean, p95, max bps and median liquidity per session, plus worst off-hours window flagged.
Tokenized stock peg by trading session: deviation broken out across open, premarket, afterhours, overnight and weekend — mean, p95, max bps and median liquidity each, with the worst off-hours window flagged. Market-open acts as the control.
Returns a structured object containing the equity symbol, lookback window in days, per-session statistics (mean, p95, max bps deviation and median liquidity) for market-open, premarket, afterhours, overnight, and weekend, the open-vs-offhours ratio, and the worst off-hours session flagged by name, plus a status and optional note.
GEThttps://x402.ochinimus.app/api/peg-sessions?utm_source=zero.xyzChoose this endpoint when you need to understand how a tokenized equity's on-chain price tracks its real-world reference price across different trading sessions, particularly to identify which off-hours windows carry the most peg risk or liquidity degradation. Prefer it over simple spot-peg endpoints when session-level granularity (premarket, afterhours, overnight, weekend) and statistical depth (mean, p95, max bps) matter — e.g. for trading-bot risk calibration, due diligence on tokenized stock venues, or alerting on session-specific peg breakdown.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {
"note": "Deviation is measured against the underlying's last real trade. Outside US market hours that is the last print before the close, not a live…",
"status": "ok",
"symbol": "CRCLx",
"sessions": {
"open": {
"n": 390,
"max_abs_bps": 52.7,
"p50_abs_bps": 7.6,
"p95_abs_bps": 27.7,
"mean_abs_bps": 10.3,
"pct_over_100bps": 0,
"pct_over_200bps": 0,
"median_liquidity_usd": 2728225
},
"overnight": {
"n": 480,
"max_abs_bps": 381,
"p50_abs_bps": 61.4,
"p95_abs_bps": 315.4,
"mean_abs_bps": 105,
"pct_over_100bps": 36,
"pct_over_200bps": 20.8,
"median_liquidity_usd": 2728721
},
"premarket": {
"n": 330,
"max_abs_bps": 583.7,
"p50_abs_bps": 58.1,
"p95_abs_bps": 531.4,
"mean_abs_bps": 141.2,
"pct_over_100bps": 37.3,
"pct_over_200bps": 24.5,
"median_liquidity_usd": 2737692
},
"afterhours": {
"n": 240,
"max_abs_bps": 339,
"p50_abs_bps": 41.4,
"p95_abs_bps": 205.5,
"mean_abs_bps": 54.8,
"pct_over_100bps": 8.8,
"pct_over_200bps": 6.3,
"median_liquidity_usd": 2733917
}
},
"window_days": 7,
"open_vs_offhours_ratio": 19.2,
"worst_offhours_session": "premarket"
},
"paid": true,
"tool": "get_peg_sessions"
}
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