Prediction market research guides
Evergreen, citation-ready explainers for humans, search engines, and AI agents. Built to answer the question directly, then show the method.
Evergreen queries
Each post targets one durable question rather than a short-lived headline.
Article + FAQ
Every article ships JSON-LD plus direct answers for answer engines.
Markdown twins
Clean Markdown routes keep the signal high for LLM retrieval.
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.
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.