Direct answer
An AI prediction market desk is a research layer around forecast markets. It monitors questions, extracts rules, caches price history, gathers public evidence, and asks multiple independent agents to estimate probability before comparing that consensus with the live market.
Useful scenarios
- A team needs a watchlist for macro, election, technology, sports, and crypto-policy markets.
- An analyst wants to spot markets where the crowd price and evidence-backed forecast diverge.
- A newsletter or research product needs clean, auditable forecast briefs without building a trading bot.
Operating steps
- Create a watchlist from public market pages, RSS feeds, or manually entered URLs.
- Normalize each market into question, expiry, resolution source, market probability, and notes.
- Assign independent agent roles such as skeptic, base-rate analyst, news analyst, and rules analyst.
- Aggregate probabilities with rationale weights rather than a single model answer.
- Export the market brief and update cadence for review, publication, or internal decision use.
Common risks
- A market with a catchy headline may hide narrow settlement language.
- Consensus can be biased if every agent reads the same stale article.
- A research desk should not place trades automatically or bypass human judgment.
How PredictionMarket Radar fits
PredictionMarket Radar focuses on research, report export, and refresh cadence, while deliberately avoiding automatic order placement.