Catalyst Edge · Schema

GetV1DailyResponse

FinanceSECMarket DataAnalyticsPlatform

Properties

Name Type Description
generated_at string Timestamp when the feed was generated.
universe_size integer Number of tickers in the feed.
tickers array Array of ticker objects.
ticker string Exchange symbol (filtered: no warrants, no derivatives).
convergence_score integer Master signal — sum of 22 bounded layers. Range –50..100.
conviction_level string WATCH / ELEVATED / HIGH / MAXIMUM — tiered from convergence_score + signal_count.
signal_count integer Number of distinct layers firing positive.
signals_fired array Named layers that contributed.
timing_alpha number Calibrated alpha rank.
conviction_class string ALPHA_MAX / ALPHA_HIGH / ALPHA_ELEVATED / ALPHA_WATCH / SHORT_CANDIDATE / FADING.
setup_type string M&A / SQUEEZE / BIOTECH / SPINOFF / ACTIVIST / EARNINGS / DISTRESS / MULTI_FACTOR.
velocity_pts integer Spoke-count delta over 7d – range –5..5.
position_size_pct number Suggested position size (% of book).
sector string GICS-style sector classification.
price number Last known price at pipeline run time.
market_cap integer Market cap in USD.
View JSON Schema on GitHub

JSON Schema

catalystedgescanner-com-get-v1-daily-response-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://artifacts.apis.io/catalystedgescanner-com/json-schema/catalystedgescanner-com-get-v1-daily-response-schema.json",
  "title": "GetV1DailyResponse",
  "x-generated": "2026-11-04",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/_ae-authored/catalystedgescanner-com-openapi-generated.yml#/components/schemas/GetV1DailyResponse",
  "type": "object",
  "properties": {
    "generated_at": {
      "type": "string",
      "description": "Timestamp when the feed was generated."
    },
    "universe_size": {
      "type": "integer",
      "description": "Number of tickers in the feed."
    },
    "tickers": {
      "type": "array",
      "description": "Array of ticker objects."
    },
    "ticker": {
      "type": "string",
      "description": "Exchange symbol (filtered: no warrants, no derivatives)."
    },
    "convergence_score": {
      "type": "integer",
      "description": "Master signal — sum of 22 bounded layers. Range –50..100."
    },
    "conviction_level": {
      "type": "string",
      "description": "WATCH / ELEVATED / HIGH / MAXIMUM — tiered from convergence_score + signal_count."
    },
    "signal_count": {
      "type": "integer",
      "description": "Number of distinct layers firing positive."
    },
    "signals_fired": {
      "type": "array",
      "description": "Named layers that contributed."
    },
    "timing_alpha": {
      "type": "number",
      "description": "Calibrated alpha rank."
    },
    "conviction_class": {
      "type": "string",
      "description": "ALPHA_MAX / ALPHA_HIGH / ALPHA_ELEVATED / ALPHA_WATCH / SHORT_CANDIDATE / FADING."
    },
    "setup_type": {
      "type": "string",
      "description": "M&A / SQUEEZE / BIOTECH / SPINOFF / ACTIVIST / EARNINGS / DISTRESS / MULTI_FACTOR."
    },
    "velocity_pts": {
      "type": "integer",
      "description": "Spoke-count delta over 7d – range –5..5."
    },
    "position_size_pct": {
      "type": "number",
      "description": "Suggested position size (% of book)."
    },
    "sector": {
      "type": "string",
      "description": "GICS-style sector classification."
    },
    "price": {
      "type": "number",
      "description": "Last known price at pipeline run time."
    },
    "market_cap": {
      "type": "integer",
      "description": "Market cap in USD."
    }
  }
}

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