Mentions, weather and crypto evidence.
Know the limits of literal transcript counts, station observations and spot-price sources.
Supplied-text mentions and supported observation adapters are built. Official transcript ingestion, venue grading and calibrated domain forecasting are incomplete.
Entry points
/mentions exact term | Supplied transcriptUse personal/account commands in your private Bookie chat. Placeholders are not actual market, account or destination identities.
Count the supplied document
In Research, expand Mention engine and provide the text, exact term and document label. Choose case sensitivity and whole-word matching. Telegram uses literal, case-insensitive whole-word matching for the supplied transcript.
The result shows count, offsets, line/context and a document fingerprint. It does not fetch an official transcript, attribute a speaker, interpret venue mention rules or settle a contract.
Observations are not domain probabilities
Weather evidence uses explicit supported NWS station observations, not a forecast ensemble or an extreme-weather probability. Crypto evidence uses an unambiguous supported Binance spot symbol, not a token-price guarantee or derivative model.
Sportsbook candidates do not supply calibrated injury, lineup or player-stat forecasts. Unsupported symbols, stations or feeds remain unavailable instead of being mapped by guesswork.