Bitnxt is a coin listing and promotional platform. Content here — including listings, rankings, and project information — is for informational purposes only and does not constitute financial or investment advice.
We don't guarantee the accuracy or reliability of any listed project. Crypto carries high risk — always do your own research before acting on anything you see here.
By continuing, you confirm you understand and accept our Legal.
BTC$86,233+0.09%|
ETH$2,715.66-0.13%|
USDT$0.99990+0.01%|
XRP$1.5100-0.46%|
USDC$0.99998+0.01%|
SOL$120.2500-0.43%|
TRX$0.33546-0.27%|
FIGR_HELOC$1.0330+0.00%|
ZEC$1,363.61+2.99%|
HYPE$93.3100+0.06%|
DOGE$0.09555-0.75%|
LINK$14.0300-1.12%|
XMR$557.1100+1.77%|
ADA$0.27828+1.84%|
WBT$86.1000+0.39%|
USDS$0.99981+0.00%|
LEO$8.8900-0.56%|
RAIN$0.01141-5.59%|
XLM$0.21634-2.39%|
NEAR$5.2400+4.70%|
BCH$317.2400+0.00%|
UNI$8.8700-1.74%|
LTC$70.5200-0.39%|
CC$0.12859+2.36%|
AVAX$11.3900+3.43%|
USDE$0.99970+0.01%|
SUI$1.2000-2.76%|
DAI$0.99991-0.01%|
HBAR$0.10139-1.60%|
BTC$86,233+0.09%|
ETH$2,715.66-0.13%|
USDT$0.99990+0.01%|
XRP$1.5100-0.46%|
USDC$0.99998+0.01%|
SOL$120.2500-0.43%|
TRX$0.33546-0.27%|
FIGR_HELOC$1.0330+0.00%|
ZEC$1,363.61+2.99%|
HYPE$93.3100+0.06%|
DOGE$0.09555-0.75%|
LINK$14.0300-1.12%|
XMR$557.1100+1.77%|
ADA$0.27828+1.84%|
WBT$86.1000+0.39%|
USDS$0.99981+0.00%|
LEO$8.8900-0.56%|
RAIN$0.01141-5.59%|
XLM$0.21634-2.39%|
NEAR$5.2400+4.70%|
BCH$317.2400+0.00%|
UNI$8.8700-1.74%|
LTC$70.5200-0.39%|
CC$0.12859+2.36%|
AVAX$11.3900+3.43%|
USDE$0.99970+0.01%|
SUI$1.2000-2.76%|
DAI$0.99991-0.01%|
HBAR$0.10139-1.60%|Compare regulated event exchanges, on-chain CLOBs, peer-to-peer sports markets, and forecasting platforms. Browse 29 venues and 23 tools, APIs and analytics services across the global prediction market ecosystem.
United States (CFTC-registered DCM)
United States (CFTC-registered DCM/DCO)
Global
United States (CFTC DCM + DCO)
United States (Robinhood Derivatives, LLC)
United States
Offshore (PDF Labs Limited)
Offshore (Opinion Labs)
Offshore (Street Chow Inc., Panama)
Offshore (Myriad Foundation, Grand Cayman)
Global
Global
Global with a long excluded-country list
Global and permissionless as a protocol
United States
United States
United States
International, non-US only
Permissionless, wallet-based and unlicensed
Open globally with no signup
Global and permissionless by design
Open globally and wallet-based
Global with an excluded-jurisdiction list
Ethereum mainnet, permissionless and unlicensed
Global and permissionless
Global, business-to-business
United States (company)
United States
Global platform with a licensed real-money tier
Dashboards, APIs, aggregators and development vendors for the prediction market ecosystem
The most-cited cross-venue prediction market board on Dune, tracking taker volume, traded volume, notional contract volume, open interest, transactions and unique users by venue and by period. Its author @datadashboards (renamed from @dunedata) is explicit about the caveats: taker volume is the fair comparison metric, notional volume counts contracts rather than dollars, no wash-volume filter is applied, Kalshi's feed is uploaded by Kalshi and never includes the current day, and Hyperliquid is a manual refresh — so single-number comparisons deserve caution. Dune also ships its own curated Prediction Markets dataset, unifying Polymarket (on-chain on Polygon since November 2022, including Combos parlays), Kalshi (since June 2021) and Hyperliquid HIP-4 outcome markets into one schema refreshed daily with hourly price granularity, sharing a category taxonomy and a canonical Yes/No direction. Five of those tables are public for anyone; per-fill trades, positions, the cross-venue rollups and the HIP-4 tables are Enterprise-gated.
The most detailed Polymarket-only board on Dune, from Filippo Armani (@filarm), a Dune Data Content Creator whose dashboard Dune's own blog used to chart Polymarket's growth. It tracks daily and monthly active wallets, transactions, notional and USDC volume, volume split by market category, open interest alongside profit-and-loss distribution, average bet size per market type, resolution timing and questions initialised versus resolved, plus a breaking-news tracker that surfaces unresolved markets with the largest 24-hour price moves above a $10k taker-volume floor. Its methodology is the reason analysts cite it: volume is counted taker-side only, filtered to rows where the taker address is one of Polymarket's two exchange contracts, which avoids the roughly 2x double-count that comes from summing both sides of every fill. Category splits are taken from market tags, with Sports, Crypto, Entertainment and Economy matched ahead of Politics so multi-tagged markets are not misfiled. Refresh runs within hours, and the dashboard also covers the practical detail that matters for reading older data: Polymarket runs off-chain order matching settled on Polygon, resolves through the UMA Optimistic Oracle with disputes going to a UMA token-holder vote, and moved to CLOB V2 on 28 April 2026, replacing USDC.e with pUSD as collateral in a break from legacy V1 orders and SDKs.
The dashboard Dune itself used to showcase LiveFetch, the SQL functions that send HTTP requests to APIs from inside a query. Fernando Molina, a data engineer who publishes on X as @fergmolina, wrote queries that call Polymarket's Gamma Markets API directly, parse the returned JSON, and join it to on-chain trades so analysis can move past Polymarket as one lump: volume, trades and users are broken out per Event, then per Market and per Answer, with the Gamma API supplying the market ID, question, outcomes, CLOB token IDs, categorisation, rules and timestamps that live off-chain. The problem it solves is concrete — Polymarket settles on Polygon but keeps market descriptions and rules off-chain, so matching a traded token back to the market and outcome it belongs to normally means running an external script and manually refreshing a mapping table, which scales badly and misses markets that open later. The board is candid about its own limits: Gamma serves at most 100 markets per call so the queries page with an offset, markets under $50,000 volume are filtered out to cut noise and stay inside per-execution API limits, markets missing from the API read 'No Data', a materialised view refreshes daily, and volume and user charts show 20 and 10 data points respectively while the tables carry the full population. Users are distinct wallets grouped by Event or Market, so the same wallet can appear under more than one. For aggregated Polymarket totals it points readers to the rchen8 dashboard instead.
An independent index provider and data company for event contracts — the neutral calculating agent behind rules-based prediction market benchmarks rather than a venue or a dashboard. It exists because the asset class is fragmented: the same event can be listed ten different ways across ten platforms, with inconsistent settlement rules and no standardisation, so institutional capital wanting to hedge event risk and sophisticated retail wanting direct event exposure have had no passive, comparable instrument to buy. Adjacent builds that layer — thematic, narrative, categorical and return-based indices, reference rates that put the same market across venues or rolling contracts on a single price series, and the underlying market data — over Kalshi and Polymarket, with governance documents and a published methodology for every ticker. Levels are readable in a defined way: probability-based political indices use a 50–150 scale where 100 is neutral and the level minus 50 gives the implied win probability, and total-return indices start at 100 and measure cumulative return instead. Data reaches users through the site, a public JSON API, an MCP server for AI agents, embeddable widgets and CSV settlement exports, and the news arm that began life as Adjacent News is now folded into the same subscription as Adjacent Press.
An AI research workspace for prediction market traders, built around a live odds board that tracks the same events across Polymarket, Kalshi, Manifold and Opinion — for example the same contract showing 67% on Polymarket against 64% on Kalshi, which is exactly the gap it expects users to interrogate. On top of the board it layers model probability forecasts with a confidence rating, news-impact analysis that ranks breaking headlines by how many markets they move and in which direction, impacted-market breakdowns showing which contracts a story shifts before and after, forecast-versus-actual probability charts, smart alerts for probability spikes, unusual volume and news catalysts, and filters by platform, category, probability range and minimum volume. Its stated method is the part that matters for readers: a forecast is only useful next to the live price, so predictions sit beside market odds rather than being published as standalone picks, and the work is treating the gap between the model and market consensus as a signal only after checking liquidity, fees, spread and settlement risk. The workflow runs four ways — a live odds board, an AI-ranked predictions list, a news tape for when a catalyst is already moving prices, and a forecast composer where a Polymarket or Kalshi market link is pasted in and the models fetch, clean and evaluate its context. Coverage is broadest in elections, economy, sports and crypto, and the site claims over 10,000 markets tracked and 10,000+ traders.
A sports betting odds API that treats prediction markets as first-class bookmakers, so Polymarket, Kalshi and Prophet Exchange sit in the same response as Pinnacle, bet365 and DraftKings, every price already normalised to decimal odds and every market carrying consistent IDs. Its argument to prediction market users is not more market data but a reference point: prediction markets run thinner liquidity and lower limits than major sportsbooks, so a Polymarket quote on its own is hard to judge — put it beside a sharp book and you can start separating signal from noise, comparing the price, the lay side and the order-book depth that prediction markets expose under exchangeMeta. Coverage is deliberately deep rather than total: live odds from 250+ of its 350+ books across 60+ sports, ten sharp books for the reference prices that matter, plus pre-match, live, futures, handicaps, totals and player props, with historical odds free so a strategy can be backtested before it is traded. Delivery is REST for pulls and a low-latency WebSocket push feed for line movement. Two limits are worth knowing before planning around it: prediction market coverage on Kalshi is limited to sports markets where its coverage overlaps — NFL and NBA rather than elections, economics or weather, which still need Kalshi's own API — and the product is read-only, aggregating and normalising data without ever placing an order.
A curated directory of tools built for or around Polymarket — analytics platforms, trading terminals and bots, aggregators, dashboards, APIs, alerts, wallet tools and AI agents — grouped into 21 categories with 181 entries claimed at review time. Each listing carries a consistent metadata strip showing the tool's platforms (which venues it supports), categories, team and community handles, then vendor-authored overview, features, use cases and FAQs, closing with a row of alternatives from the same category. Run by the X account @PolymarketEco, it is free to browse and free to submit for editorial review, with a 199 USD Fast-Track review option and separately sold, labelled Featured placements.
A community-maintained GitHub list of prediction market tools in the awesome-list format: one README, 19 categories and 177 one-line entries when measured on 30 September 2026, covering AI agents, APIs, aggregators, alerts, analytics, arbitrage, dashboards, data, DeFi, educational resources, extensions, funds, infrastructure, news, official links, parlays, portfolio tracking and trading bots. It is free and public, contributions arrive as pull requests, and 89 per cent of its outbound links carry another directory's tracking parameter, which points to where its entries were collected from.
Kalshi's official exchange API: the venue's own interface to its event-contract markets over REST, WebSocket and FIX, with a separate surface for its perpetual futures. Public endpoints answer without any credentials — series, events, markets and order books — while portfolio, order and streaming endpoints use asymmetric API key pairs (Ed25519 preferred, RSA-PSS supported) carried in three signed headers. Because it returns whole order books rather than a single price, depth and implied spreads are visible; it splits live data from an advancing historical archive with per-datatype cutoffs; and it exposes the full market lifecycle from creation through determination to settlement. Throughput is metered in tokens against read and write budgets that run from Basic to Prestige, the higher tiers earned from 30-day trading volume, and the developer documentation publishes no API subscription price. A demo environment with separate credentials and mock funds mirrors production, and official Python and TypeScript SDKs sit alongside the OpenAPI and AsyncAPI specifications the vendor treats as the source of truth.
DefiLlama is the open analytics layer for on-chain finance, and the place prediction markets are measured as a category rather than one venue at a time. Its prediction-market page ranks every tracked venue by TVL, prediction volume, fees and revenue across 24-hour, 7-day and 30-day windows, mixing on-chain protocols with off-chain ones such as Kalshi, and each protocol page adds chain breakdowns, open interest, notional volume, user activity, funding rounds, hacks and an income statement — with the methodology for a number linking straight to the adapter code that produces it. The data reaches users three ways: dashboards and CSV exports on the site, a free public API of 31 endpoints needing no key plus a paid API with 38 more, and an MCP server that hands the same data to AI agents through 23 tools. Coverage runs well past DeFi — stablecoins, yields, bridges, ETFs, equities and pre-IPO — and browsing is free, with paid tiers for analysis, higher API volume and raw database access.
Zapper was a multi-chain portfolio tracker for onchain wallets — tokens, DeFi positions, NFTs and history across 50-plus chains — and for a while it was the rare general-purpose tracker that also read prediction market positions, showing Polymarket exposure on the same dashboard as everything else. Developers could pull the same portfolio data through a GraphQL API. That is the past tense: on 3 August 2026 Zapper shut down its web and mobile apps and its API, and the site now publishes only a farewell notice, with former API customers pointed to Zerion's migration guide and former Zapper Wallet users pointed to key export through Privy. There is nothing left to sign up for, no API key to request and no free tier to test, so this page records what the product did, what it claimed to cover and where its users were told to go.
Polygonscan is the block explorer for the Polygon PoS chain, and because Polymarket settles there it doubles as the on-chain record for prediction market activity: every contract, trade, collateral transfer, position redemption and oracle resolution on the venue can be read here rather than taken on trust. It labels Polymarket's own infrastructure by name — the exchange contract and the oracle adapters appear as Polymarket entries rather than anonymous addresses — so a reader can find the resolution pipeline and follow it. The explorer also decodes what contracts actually did, lets you query event logs without writing code, verifies contract source before you interact with anything, and exposes the same data through one API key across 60-plus EVM chains with Polygon selected by chain ID 137. Browsing is free; the API has a free tier with hard limits and paid tiers above it, sold through Etherscan, whose family of explorers Polygonscan belongs to.
PredictionHunt now trades as Prediction.com, and the product spans three layers. For readers: event pages that put every venue's price for the same contract side by side and point at the best one, multi-leg combo pricing, daily picks, calculators and venue sign-up offers. For traders who follow flow: a live smart-money feed drawn from Polymarket wallets that have cleared a ten-thousand-dollar lifetime profit bar, showing each large fill and which side profitable wallets are net-buying on a given event. For anyone with an edge to measure: an arbitrage scanner that pairs the two legs of the same outcome across venues, subtracts fees, and reports the remaining cent or two along with how long the window actually stayed open. Underneath all of it is a commercial API that normalises eight venues into one schema and matches equivalent markets automatically, which is the part developers actually come for.
SEDA is oracle infrastructure that a developer integrates rather than a place to read odds. It comes in two halves. The builder half is a layer-one network where you deploy Oracle Programs — verifiable code that fetches data from any public or private source, applies your own logic and returns a result, either on chain or through a low-latency API. The commercial half is a set of packaged products built on that network: composite data feeds for assets that trade around the clock, bundle feeds with configurable weighting, pre-IPO data on thousands of private companies, and an Outcomes product that resolves custom market outcomes programmatically, with no human reporters. For prediction markets specifically, SEDA plays two roles: prediction market venues including Polymarket and Kalshi appear among the data providers behind its feeds, and its resolution layer is what a builder would use to create and settle their own outcome markets — not what settles Polymarket's, which resolves through its own oracle on Polygon. Access is a trial request or a conversation with the team; there is no public price list.
Ecosystem research and explainers on the data layer behind prediction-market trading
DropsTab is a full crypto data platform — prices for fourteen thousand or more assets, token unlock and vesting schedules, funding rounds, venture investors, project activities and portfolios — with an unusual corner that earns it a place in this directory: a prediction markets screener. That screener lists the companies and tokens building in the sector with the money they have raised, how many investors are attached to them, and how much social attention they draw, which is a different question from what the odds say. Around it sit a free Telegram bot that tracks odds moves and whale trades on markets you point it at, a research desk that publishes long sector reports on prediction markets and their legal position, and a commercial API whose standout data is token unlock schedules — the supply events that decide what happens to a prediction-market token in the weeks after it lists.
Blockstats is a crypto tax calculator and portfolio tracker, not a prediction market tool. You connect wallets and exchanges, it reconstructs cost basis across them, categorises transactions, tracks portfolio performance, and produces tax reports (Form 8949, Schedule D, TurboTax-compatible). It also runs free tax and profit calculators, and offers a paid full-service channel where a team prepares the return for you. Its only contact with prediction markets is indirect: on-chain venues settle on chains it supports, so wallet activity may import as ordinary crypto transactions — but nothing on the site documents event contracts, and there is no Kalshi integration or prediction market tax guidance.
A scoring layer, not a venue: miners trade live sports markets on Almanac, which routes their orders to the Polymarket CLOB through the miner’s own proxy wallet. Validators pull that trade history each 24-hour epoch and run a two-phase optimisation over a rolling 30-day window — ROI, volume from winning trades after fees, eligibility gates and diversity caps — then publish weights on-chain that decide the next epoch’s alpha emissions. Scoring is model-agnostic: manual, modelled or automated trading is judged on performance alone.
Builds opinion-trading and prediction-market platforms, custom and as clone scripts, with dedicated pages for Polymarket, Kalshi, Probo, Metaculus, PredictIt, Manifold Markets, Hedgehog Markets and Augur. Published platform features are real-time analytics, secured payment and wallet integration, user profiles with ranks, an interactive opinion feed with upvotes and comments, customised notifications and AI-driven predictive and sentiment analytics. The Polymarket clone build is advertised at roughly 60 days, with enquiry budget brackets from USD 10,000 to more than USD 15,000, on a mainstream Node.js, React and mobile stack deployed to AWS.
A dedicated prediction-market development practice built on eight published services — custom platform builds, oracle and real-time data integration, liquidity and pricing systems, event and market creation, smart contracts, web and mobile apps, binary and multi-outcome markets, and a turnkey clone-script route — with eight build variants (AI, centralised, decentralised, white-label, event-based, binary, crypto-price and DeFi). The platform features claimed include a price discovery engine running AMM and order-book models side by side, a hybrid on-chain/off-chain architecture, trader analytics, a liquidity bootstrapping engine and AI-driven predictive risk scoring. Clone scripts are sold by venue name: Polymarket, Myriad Market, Kalshi and Limitless.
Prediction-market platform development and clone scripts
Sells prediction-market software as clone scripts and bot builds: Polymarket, Kalshi, Augur, Manifold Markets and Zeitgeist clones, a Polymarket prediction bot and crypto prediction bot development. Unlike its exchange and wallet products, the prediction line has no dedicated product page — it is published as blog articles with a contact form, so scope, price and timeline are only available on enquiry. The wider catalogue spans AI, trading bots, tokens, DeFi, NFT, games and hire-a-developer engagements, and also lists HYIP and crypto doubler scripts.
Custom prediction-market platform development and ready-made clone scripts for Polymarket, Kalshi, Augur and Myriad, plus a Polymarket prediction bot for traders. The site’s own material covers binary, multiple-choice and scalar markets, $0–$1 contract pricing read as implied probability, order-book versus AMM execution, and smart-contract settlement. Scope, timeline and price are quote-based, with no published packages and no named prediction-market client.
Editorial note: This directory was compiled in August 2026. The prediction market sector moves fast — venues launch, get acquired and get geo-blocked within a single quarter. Volume and user figures are point-in-time and go stale fast; the as-of date is inside each cell. Regulatory status varies by jurisdiction and can change without notice. Always confirm current operating status before trading.