Prediction market research guides
Evergreen explainers for analysts, builders, and teams who need to understand movement, source quality, resolution risk, and verification workflows.
Evergreen topics
Each guide focuses on one recurring prediction-market problem rather than a short-lived headline.
Article + FAQ
Every article ships JSON-LD plus direct answers for answer engines.
Clean text
Source-friendly text routes keep the evidence readable for archives, teams, and agents.
Research topics
The library is grouped around durable research problems: analytics, resolution, large-trade flow, agents, x402, teams, APIs, and venue data. Each guide includes direct answers, source context, and product workflow links.
Prediction market signals: momentum, divergence, flow, and resolution risk
Signals are useful only when they separate what happened from what to verify next. This guide explains Orrery's four core signal families and why none of them is a trade recommendation.
Polymarket resolution risk: how markets settle and what to verify
The headline asks one thing. The resolution rule may decide another. Here is the verification loop Orrery uses before treating a market as clean.
Polymarket whale tracking: what large trades actually mean
A large trade is evidence of attention, not proof of skill. The useful question is whether size, timing, wallet history, and market context agree.
Prediction market API for AI agents: grounded market intelligence
Agents do not need vague market commentary. They need structured, fresh, citeable market intelligence with clear limits and machine-readable next calls.
Best Polymarket analytics tools: how to choose a prediction market dashboard
The best analytics tool is not the one with the most charts. It is the one that turns live market data into a shorter, safer research queue.
How to track Polymarket whales without mistaking size for skill
Whale tracking is useful when it tells you where attention is moving. It becomes dangerous when one large trade is treated as proof.
How Polymarket markets resolve: rules, sources, UMA, and finality
Markets do not resolve because a chart reaches 99 percent. They resolve according to rules, sources, and oracle finality.
Prediction market API for agents: what autonomous systems should call first
Agents do not need another odds table. They need a ranked queue, citations, risk flags, and next calls they can execute safely.
Polymarket signals explained: momentum, flow, divergence, and source risk
Signals are not magic. They are labels for observable market conditions that deserve either attention, verification, or silence.
Polymarket vs Kalshi data: how prediction market datasets differ
Prediction market data is not interchangeable. Venue rules, contract design, resolution, and API shape change how analytics should be built.
Election prediction markets: how to read odds, volume, and resolution rules
Election markets are tempting because the headline is familiar. That familiarity is exactly why the rule, source, and timing deserve extra care.
Crypto prediction markets: how to read price, volume, and event risk
Crypto markets move quickly, but prediction market contracts still resolve slowly and specifically. Treat both truths as part of the data.
Polymarket market scanner: how to find live markets worth checking
A scanner is useful when it turns thousands of markets into a clean research queue, not when it simply lists prices.
How to monitor prediction markets without missing important moves
Monitoring is a loop: scan, inspect, save, alert, brief, and verify. Skipping any part creates blind spots.
Prediction market alerting: thresholds, resolution risk, whales, and webhooks
Alerts are where research terminals become retention products. The hard part is firing the right alert with the right context.
UMA disputes explained for Polymarket users
A proposed outcome is not the same thing as final settlement. UMA state belongs next to every serious resolution workflow.
Polymarket wallet tracking: activity, context, and what not to assume
Wallet tracking is useful for attention and context. It becomes dangerous when it pretends every large trader is right.
Best prediction-market data APIs: what teams and agents should compare
The best API is not just raw market JSON. It gives agents and teams clean interpretation with rules, risks, and stable contracts.
What is x402? HTTP payments for AI agents explained
x402 turns payment into part of the HTTP request cycle. For agents, that means buying one answer at a time.
How to build an AI agent for prediction markets
A good prediction-market agent is not a trader in disguise. It is a disciplined research assistant with sources, limits, and a budget.
Prediction market dashboard for teams: shared monitoring workflow
Teams do not need another chart wall. They need one shared queue: what moved, what changed, what needs verification, and who should be alerted.
Prediction markets for newsrooms: what moved before the story
Prediction markets can help newsrooms notice attention shifts early. They still require source checks, rule checks, and editorial restraint.
Event-market data APIs: what builders should normalize first
Event-market APIs are useful only when the response separates public data, derived status, resolution context, and the action an agent should take next.
Polymarket CLOB data explained: prices, liquidity, spreads, and depth
A market price is only useful when you know how liquid it is, how wide the spread is, and whether the book can support the conclusion.
Prediction-market research workflow: scanner, detail, watchlist, alert, brief
The strongest research terminal is not the one with the most rows. It is the one that tells you what to verify next.
Why 99¢ is not always resolved in prediction markets
A rail-pinned price is a market opinion. Official resolution is a source-status fact. Confusing the two creates bad research.