API Documentation

curl -s https://eventhorizoniq.com/api/calls | jq '.count, .calls[0]'

import requests

calls = requests.get("https://eventhorizoniq.com/api/calls").json()["calls"]
live = [c for c in calls if c["status"] == "active" and c["market_prob"] is not None]
for c in sorted(live, key=lambda c: -abs(c["ehiq_prob"] - c["market_prob"]))[:5]:
    print(f'{c["slug"]:50s} EHIQ {c["ehiq_prob"]:.2f} vs mkt {c["market_prob"]:.2f} [{c["basis_status"]}]')

curl -s https://eventhorizoniq.com/api/calls/ohio-governor-republican-2026 | jq '.call.prob_basis'

curl -s https://eventhorizoniq.com/api/gate | jq '.strict, .official, .gate'

curl -s https://eventhorizoniq.com/api/tape | jq '.latest.url, .latest.served_file_sha256'
curl -s https://eventhorizoniq.com/tape/TAPE_v0_2026-09-10.json | sha256sum

import requests

data = requests.get("https://eventhorizoniq.com/api/stress-index").json()

if data["stress_index"] >= 50:
    print(f"⚠️ EHIQ Stress Index at {data['stress_index']} — {data['regime']}")
    print(f"  {data['breakdown']['severe']} SEVERE, {data['breakdown']['elevated']} ELEVATED")

import requests

headers = {"x-ehiq-key": "ehiq_your_key_here"}
data = requests.get("https://eventhorizoniq.com/api/sensors", headers=headers).json()

elevated = [s for s in data["sensors"] if s["currentState"] in ("ELEVATED", "SEVERE")]
for s in elevated:
    print(f"{s['name']}: {s['currentState']} (confidence: {s['confidence']})")

curl -H "x-ehiq-key: ehiq_your_key_here" \
  https://eventhorizoniq.com/api/sensors | jq '.sensors[] | select(.currentState == "ELEVATED")'

curl https://eventhorizoniq.com/api/sensors/vix-regime

import requests
import pandas as pd

url = "https://eventhorizoniq.com/api/sensors/vix-regime/history?limit=500"
headers = {"x-ehiq-key": "ehiq_your_key_here"}
data = requests.get(url, headers=headers).json()

df = pd.DataFrame(data["readings"])
df["recordedAt"] = pd.to_datetime(df["recordedAt"])
print(df[["recordedAt", "state", "value"]].head(20))

import requests

headers = {"x-ehiq-key": "ehiq_your_key_here"}
data = requests.get("https://eventhorizoniq.com/api/equity-regime", headers=headers).json()

for stock in data["stocks"]:
    emoji = "🔴" if stock["regime"] == "STRESS" else "🟡" if stock["regime"] == "ESCALATING" else "⚪"
    print(f"{emoji} {stock['ticker']:6s} {stock['regime']:12s} RSI={stock['rsi']:.1f}")

import requests

headers = {"x-ehiq-key": "ehiq_your_key_here"}
data = requests.get("https://eventhorizoniq.com/api/tiq-ml", headers=headers).json()

bullish = [s for s in data["scores"]
           if s["combined_direction"] == "BULLISH"
           and s["ml_confidence"] == "HIGH"
           and not s["macro_headwind"]]

for s in bullish:
    print(f"{s['ticker']}: score={s['combined_score']}, prob={s['direction_prob']:.0%}")

curl -H "x-ehiq-key: ehiq_your_key_here" \
  "https://eventhorizoniq.com/api/signal-drops?ticker=OPEN"

curl https://eventhorizoniq.com/api/proposals

curl -X POST https://eventhorizoniq.com/api/v2/tiq/score \
  -H "x-ehiq-key: ehiq_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{"text": "We remain confident in our ability to deliver...", "mode": "earnings"}'

import requests

headers = {"x-ehiq-key": "ehiq_your_key_here", "Content-Type": "application/json"}
body = {
    "text": open("earnings_transcript.txt").read(),
    "mode": "earnings"  # earnings | authorship | escalation | central_bank
}

r = requests.post("https://eventhorizoniq.com/api/v2/tiq/score", json=body, headers=headers)
data = r.json()

print(f"Risk: {data['risk_label']} ({data['risk_score']}/100)")
print(f"Constraint: {data['features']['constraint']}")
print(f"Conviction: {data['features']['conviction']}")
print(f"Ratio: {data['features']['ratio']}")
if data['anomaly_flags']:
    print(f"Flags: {', '.join(data['anomaly_flags'])}")

curl -H "x-ehiq-key: ehiq_your_key_here" \
  https://eventhorizoniq.com/api/v2/tiq/ticker/AAPL

import requests

headers = {"x-ehiq-key": "ehiq_your_key_here"}
r = requests.get("https://eventhorizoniq.com/api/v2/tiq/ticker/OPEN", headers=headers)
data = r.json()

print(f"Signal: {data['signal']}")
print(f"Arc: {data['arc_direction']}")
print(f"Triad: {data['triad']['status']} ({data['triad']['score']}/3)")
print(f"Latest ratio: {data['latest']['ratio']}")
if data['ml']:
    print(f"ML direction: {data['ml']['direction']} ({data['ml']['confidence']})")

import requests

headers = {"x-ehiq-key": "ehiq_your_key_here"}
r = requests.get("https://eventhorizoniq.com/api/v2/tiq/triad", headers=headers)
data = r.json()

print(f"Scanned {data['total_tickers_scanned']} tickers")
print(f"Invincible (3/3): {data['invincible_count']}")
print(f"Watch (2/3): {data['watch_count']}")

for t in data['tickers']:
    print(f"  {t['ticker']:6s} {t['triad_status']:10s} ratio={t['ratio']:.2f} constraint_z={t['constraint_z']}")

import requests

headers = {"x-ehiq-key": "ehiq_your_key_here", "Content-Type": "application/json"}
body = {
    "text_a": open("ceo_letter_2024.txt").read(),
    "text_b": open("ceo_letter_2025.txt").read()
}

r = requests.post("https://eventhorizoniq.com/api/v2/tiq/compare", json=body, headers=headers)
data = r.json()

print(f"Verdict: {data['verdict']}")
print(f"Distance: {data['distance']}")
print(f"Same author probability: {data['probability_same_author']:.0%}")