Coil Sector Scores is a paid API for AI agents from coil.trade, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Returns scored strength ratings (0-100) for all S&P 500 sector ETFs with percentile, signal light, and entry state to identify sector rotation leadership
Sector rotation scores — which sectors are strong right now? One read returns every S&P 500 sector ETF (XLK, XLF, XLV, XLE, XLI and the rest) scored 0-100 with percentile, green/yellow/red light and entry state, plus which sectors each book's regime currently calls green. Spot leadership rotation top-down without scanning 500 single names. Refreshed ~5 min in market hours, timestamped. Research, not advice.
A list of all S&P 500 sector ETFs (XLK, XLF, XLV, XLE, XLI, etc.) each with a numeric score from 0-100, percentile rank, green/yellow/red signal light, entry state, and regime-based green designation. Data is refreshed approximately every 5 minutes during market hours and includes a timestamp.
GEThttps://coil.trade/api/board/sectorsUse this endpoint when you need a top-down view of sector rotation across all S&P 500 sectors at once, without scanning individual stocks. Ideal for identifying which sectors are leading or lagging, determining regime-aligned sector entries, and building macro-aware trading filters. Prefer over single-name endpoints when sector leadership context is needed before drilling into individual stocks.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"books": {
"spx": {
"label": "SPX",
"sectors": [
{
"sym": "XLK",
"name": "Information Technology",
"light": "g",
"state": "cold",
"opp_pct": 85,
"opp_score": 63.6
}
],
"regime_mode": "NAMES_ON",
"green_sectors": [
"Energy",
"Health Care"
]
}
},
"product": "coil-sectors",
"freshness": {
"poll_hint": "Market open — this board recomputes about every 5 minutes; polling faster returns the same payload.",
"market_open": true,
"next_refresh_at": "<ISO-8601 UTC — always present; do not re-buy before this>",
"data_age_seconds": 142
},
"asof_daily": "2026-07-22",
"book_order": [
"spx",
"qqq",
"macro"
]
}
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