CM ClearMarket
SYSTEM: LIVE · PRICES: HOURLY REFRESH · COVERAGE: ~3,330 EVENTS / ~30,000 MARKETS · KALSHI + POLYMARKET

Will NYC subway ridership reach its pre-Covid average by 2027? [ resolves 2027-01-01 (162D) ]

kalshi: [A] single source·objective outcome methodology ›
distribution · by outcome · marks: daily snapshot
kalshi 4 markets
market resolves P(YES) vol (24h) vol (cum) RCG venue id
80% 2027-01-01 99.0%
$1.2K
A KXSUBWAY-27-3.72
85% 2027-01-01 97.0%
$1.6K
A KXSUBWAY-27-3.95
90% 2027-01-01 56.0%
$4.3K
A KXSUBWAY-27-4.19
100% 2027-01-01 11.0%
$242
A KXSUBWAY-27-4.65
resolution architecture
venue proposer source citation arbitration class analyst notes
kalshi Exchange Staff Metropolitan Transportation Authority link Kalshi Staff Other
verbatim rules
kalshi 4 markets · share this text
If NYC subway ridership reaches a seven-day average of at least 3.72 riders before Jan 1, 2027, then the market resolves to Yes. The subway had an average daily ridership of 4.65 million persons in 2019.
platform source field kalshi.settlement_sources → "Metropolitan Transportation Authority"
sources (1) · single authority
resolution history
outcome market venue resolved final price
YES Will NYC subway ridership reach 85% of the pre-Covid average before Jan 1, 2027? kalshi 2026-07-08 97%
YES Will NYC subway ridership reach 80% of the pre-Covid average before Jan 1, 2027? kalshi 2026-05-20 99%
Resolution dates are the venue's settlement timestamps (2 resolved markets). Rows shown as "by [date]" carry the contract deadline: the venue no longer exposes a settlement time for them. PENDING upgrades to a final outcome on the next refresh.
recent wire items
monitoring status: active no active wire

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CM Signal’s news-cycle scan surfaces the day’s top stories alongside the prediction markets pricing them. When a story references this event, its wire is published here and links back to this page.

programmatic access · four surfaces, same payload

One canonical record at every surface — embedded JSON-LD, REST, MCP, and /llms.txt.

HTMLbrowsers, AI grounded search, crawlers (embedded JSON-LD @type: Dataset)https://clearmarket.fyi/events/kxsubway-27/
JSONREST API for developershttps://api.clearmarket.fyi/v1/events/kxsubway-27
MCPagentic AI tool call (Claude Desktop, Cursor, Continue)clearmarket.get_event("kxsubway-27")
AGENTAI crawler discovery index/llms.txt

Snapshot 2026-07-23. Venue data via Kalshi + Polymarket APIs. Editorial fields (tags, editorial_notes) are ClearMarket-drafted with AI assistance under editorial review. Derived fields (venues_covered, resolution_clarity_grade, rcg_score) computed at serve time. Full per-field map in the JSON record under field_provenance.

raw JSON record · same payload returned by REST endpoint
{
  "event_id": "CM-EVT-6B62XT92K5",
  "slug": "kxsubway-27",
  "question": "Will NYC subway ridership reach its pre-Covid average by 2027?",
  "category": "companies",
  "tags": [
    "companies",
    "nyc-transit",
    "ridership-recovery",
    "urban-mobility",
    "post-pandemic-metrics",
    "2026"
  ],
  "venues_covered": [
    "kalshi"
  ],
  "market_count": 4,
  "cumulative_volume_usd": 7318,
  "resolution_clarity_grade": "A",
  "rcg_score": 93,
  "rcg_caps": [],
  "resolution_source": "Metropolitan Transportation Authority",
  "resolution_source_url": "https://new.mta.info/coronavirus/ridership",
  "source_status": "platform_named",
  "source_of_record": "Metropolitan Transportation Authority",
  "resolution_source_list": [
    {
      "name": "Metropolitan Transportation Authority",
      "url": "https://new.mta.info/coronavirus/ridership",
      "provenance": "platform_api"
    }
  ],
  "arbitration_model": "kalshi_staff",
  "proposer_model": "platform_staff",
  "field_provenance": {
    "question": {
      "source": "clearmarket_editorial"
    },
    "tags": {
      "source": "clearmarket_editorial",
      "ai_drafted": true
    },
    "resolution_clarity_grade": {
      "source": "derived",
      "method": "rcg_v2_7factor"
    },
    "venues_covered": {
      "source": "derived"
    }
  }
}
snapshot 2026-07-23T21:11:14.426158+00:00 schema v0.2.0-universe all events →