How many Senators vote to confirm as Attorney General
How many Senators vote to confirm as Attorney General is priced at 3¢ on Kalshi. Current book: 0¢ bid, 100¢ ask, 100¢ spread. This page tracks a standalone prediction-market contract.
Price history
3¢ current
−20¢Contract brief
If the number of Senators voting Yea for the nomination of Todd Blanche to Attorney General after Issuance and before Jan 1, 2027 is above 51, then the market resolves to Yes.
Outcome
How many Senators vote to confirm as Attorney General
Rank
Standalone
Leader
—
Range
—
Family volume
$13K
Identifier
KXBLANCHECOUNT-27-T51
Aug 9, 2026, 2:09 AM UTC · 0m ago
Implied probability
Bid
0¢
Ask
100¢
Spread
100¢
24h volume
$322
Family rank
Standalone
Standalone contract
Closes
Aug 8, 2026
Family volume
$13K
Orderbook snapshot
0 / 100¢
Contract terms
What resolves this market.
YES condition
If the number of Senators voting Yea for the nomination of Todd Blanche to Attorney General after Issuance and before Jan 1, 2027 is above 51, then the market resolves to Yes.
Venue
Kalshi
Closes
Aug 8, 2026
Identifier
KXBLANCHECOUNT-27-T51
Event family
This market.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$13K
Outcomes
1
Highest price
How many Senators vote to confirm as Attorney General 3¢
Current share
100%
How many Senators vote to confirm as Attorney General
kalshi · KXBLANCHECOUNT-27-T51
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Odds pages
Related prediction questions
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
How to Scan Prediction Market Orderbooks: Spread, Depth, and Liquidity Analysis
Practical guide to analyzing orderbook data from Kalshi and Polymarket. Learn spread, depth, liquidity scoring, and executable edge calculation.
Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State
Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.
Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity
How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.
Prediction market liquidity: why depth matters more than volume for serious traders
Why orderbook depth matters more than volume for prediction market traders. Real Kalshi examples, liquidity scoring framework, and how to avoid slippage.
Kalshi vs Polymarket: Which Prediction Market Should You Trade?
In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.
Kalshi vs Polymarket: A Developer's Comparison of APIs, Orderbooks, and Liquidity
Data-driven comparison of Kalshi and Polymarket APIs, orderbooks, rate limits, and liquidity. Code examples for building on both prediction markets.
SimpleFunctions context
Index, screen, query, and monitor.
Prediction Market Index
Market-wide volatility, geo risk, breadth, and activity around this contract.
Market Screener
Filter adjacent contracts by volume, expiry, IY, CRI, venue, and theme.
Event Probability API
Read 3% as a structured event probability object for agents and apps.
Realtime Data API
Prices, orderbooks, movement, heat, and liquidity indicators across venues.
World State API
Compact market-aware context packets for agent sessions and scheduled refresh.
Hedging Workflows
Map a thesis or exposure to candidate event markets and monitoring paths.
How we compute these odds
SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.
For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.
Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.