AI Narrative Analysis API - Plain-English Market Exposure Briefing - FlashAlpha Lab API
Lab API Narrative Analysis

Narrative Analysis API

Get AI-generated plain-English briefings on the current options exposure landscape — regime, key levels, flow, vanna, charm, and outlook.

What Is Narrative Analysis?

The Narrative endpoint translates raw options exposure data into a structured, plain-English market briefing. Instead of interpreting numbers yourself, you get ready-to-use sections covering the gamma regime, day-over-day GEX changes, key price levels, notable flow activity, vanna and charm effects, 0DTE significance, and an overall outlook. The response also includes the raw numeric data backing each narrative section, so you can combine human-readable text with quantitative analysis.

Common Use Cases

  • Morning briefings — auto-generate pre-market reports for traders without manual data analysis
  • Client reports — include narrative sections in client-facing research or newsletters
  • Chatbot integrations — feed narrative text directly into chat-based trading assistants
  • Alert enrichment — attach narrative context to exposure-based alerts so recipients understand the significance
  • Backtesting signal quality — use the outlook field as a qualitative signal alongside quantitative indicators

When to Use This Endpoint

Use the Narrative endpoint when you need human-readable interpretations. For raw numbers only, use the Summary or individual exposure endpoints. Narrative is ideal for reports, dashboards with text panels, and any workflow where a non-quant audience needs to understand the data.

Endpoint

GET /v1/exposure/narrative/{symbol}
Auth required (X-Api-Key) Rate Limited: Yes Growth plan+

Parameters

Name In Required Default Description
symbol path yes Underlying symbol
curl -H "X-Api-Key: YOUR_API_KEY" \
  "https://lab.flashalpha.com/v1/exposure/narrative/SPY"
import requests

resp = requests.get(
    "https://lab.flashalpha.com/v1/exposure/narrative/SPY",
    headers={"X-Api-Key": "YOUR_API_KEY"}
)
data = resp.json()
print(data['narrative']['regime'])
print(data['narrative']['outlook'])
const resp = await fetch(
  "https://lab.flashalpha.com/v1/exposure/narrative/SPY",
  { headers: { "X-Api-Key": "YOUR_API_KEY" } }
);
const data = await resp.json();
console.log(data.narrative.regime);
console.log(data.narrative.outlook);

Response

{
  "symbol": "SPY",
  "underlying_price": 597.505,
  "as_of": "2026-02-28T16:30:45Z",
  "narrative": {
    "regime": "Dealers are long gamma (net GEX +$2.9B) — expect mean-reverting, range-bound price action.",
    "gex_change": "Net GEX increased from +$2.6B to +$2.9B (+11.5%) — gamma cushion strengthening.",
    "key_levels": "Call wall at 600, Put wall at 595, Gamma flip at 595.25.",
    "flow": "Top OI changes: +5,000 call OI at 600 strike, -2,000 put OI at 595 strike.",
    "vanna": "Positive vanna (+$1.2B) with VIX at 18.5 — vol compression supports upside.",
    "charm": "Positive charm (+$850M) — time decay pushing dealers to buy, providing support.",
    "zero_dte": "0DTE accounts for 10% of total GEX — minimal intraday impact.",
    "outlook": "Positive gamma regime with strengthening cushion. Testing 600 call wall.",
    "data": {
      "net_gex": 2850000000,
      "net_gex_prior": 2600000000,
      "net_gex_change_pct": 9.6,
      "vix": 18.5,
      "gamma_flip": 595.25,
      "call_wall": 600.0,
      "put_wall": 595.0,
      "regime": "positive_gamma",
      "zero_dte_pct": 10.0,
      "top_oi_changes": [{"strike": 600.0, "type": "C", "oi_change": 5000, "volume": 1250}]
    }
  }
}

Key Response Fields

Field Type Description
symbolstringUnderlying symbol
underlying_pricenumberCurrent price of underlying
as_ofstringISO 8601 timestamp
narrative.regimestringPlain-English gamma regime description
narrative.gex_changestringDay-over-day GEX change narrative
narrative.key_levelsstringKey price levels summary
narrative.flowstringNotable options flow activity
narrative.vannastringVanna exposure interpretation
narrative.charmstringCharm exposure interpretation
narrative.zero_dtestring0DTE impact assessment
narrative.outlookstringOverall market outlook summary
narrative.dataobjectRaw numeric data backing each narrative section
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