Quant Dashboard for Traders, MCP for Agents.
Hosted MCP · Markets & charts
The same live Polymarket intelligence the quant dashboard runs on — screen markets, pull a chart, or get a full microstructure read — all behind your premium PAT.
Get a market slug from screen_markets, list_movers, or an article’s market link, then pass it to the read tools.
screen_markets({category?, limit?})Live markets ranked by 24h volume.list_movers({category?, limit?})Biggest 24h movers right now.get_market({slug})Odds, volume, liquidity, resolution, dates.get_market_chart({slug, range?, include_series?})Price series + computed summary. range = 24h / 7d (default) / 30d / MAX.analyze_market({slug})Chart + book + tape + VWAP + CVD + no-vig fair value in one read.get_order_book({slug, depth?})Depth ladder, mid, spread, pressure, fair value.get_top_holders({slug, limit?})Top YES/NO holders (whale read).market_calibration({category?})Do N¢ markets resolve YES ~N%? Reliability curves + Brier scores.market_term_structure({slugs})Compare 2–8 related markets across expiries — curve + forward hazard + slope.explain_metrics()The metric glossary — what each reading means and how it's computed.coverage_for_market({slug})Orakll's articles on a market.analyze_market collapses the chart, order book, and trade tape into one read, with a plain-language verdict:
# Analysis · US x Iran permanent peace deal by May 31, 2026?
Now: 12¢
CHART net -7pp/7d · range 62pp · vol 18.3pp/day · falling
BOOK mid 12¢ · spread 1¢ · pressure 0.88 (buyers) · depth $6,640,000 bid / $3,210,000 ask
TAPE 100 prints · imbalance -0.87 (sellers) · largest $28,400 · VWAP 11¢ (mid +1pp vs VWAP)
FLOW CVD -$214,000 · price -7pp · bearish divergence
FAIR no-vig 12¢ · mid 12¢ (+0pp) · cross ~0.5¢/share
VERDICT falling · book leans buyers · tape leans sellers
INTERPRETATION
…per-metric plain-language read…
→ falling, with the book leaning buyers against a selling tapeThe text block is for humans; the structuredContent carries the same reading as typed fields. See Data shapes for the full field tables.
screen_markets({ category: "politics" }) # find a market
→ analyze_market({ slug }) # read the tape
→ coverage_for_market({ slug }) # pair with Orakll's reportingget_market_chart takes a range (24h / 7d default / 30d / MAX); set include_series: false for the summary only.explain_metrics() for the full glossary — the same tooltip context humans get on the dashboard, as data your agent can act on.