Know your cost.Own your strategy.

Quote.Trade is an AI-native crypto dark pool DEX for human traders, trading bots, and AI agents. Users fund and withdraw supported stablecoins through smart-contract funding layers, while position state is maintained through on-chain position contracts. Dark-pool matching, order execution, pricing, and risk controls operate through an off-chain execution engine.

Quote.Trade treats AI agents as first-class platform users. Agents can discover tools through MCP, retrieve market data through REST or WebSocket, use a public OpenAPI specification, inspect authorized account information, preview orders, and submit guarded trading workflows.

Quote.Trade also provides Hermes and OpenClaw skill resources, an agent discovery file, a verified public OpenAPI schema, a live Telegram bot, and open-source Telegram and command-line clients.

A crypto dark pool DEX is a trading venue where orders are not published to a public order book before execution. On Quote.Trade, the execution engine receives the order parameters required to trade but not the trader's broader strategy. Matching occurs through an off-chain dark-pool engine, while stablecoin funding, withdrawals, and position state are anchored to public smart contracts.

Dark-pool execution does not mean that the entire platform is anonymous, confidential, or fully on-chain.

Quote.Trade separates funding, execution, and position state across on-chain and off-chain layers.

• Fund your account with a supported stablecoin.
• Submit an order through the app, API, bot, or approved agent integration.
• The off-chain dark-pool engine handles matching, order processing, pricing, and risk checks.
• Position state is maintained through the on-chain position layer.
• Eligible withdrawals are validated and released through the funding layer.

No. Quote.Trade uses a hybrid on-chain and off-chain architecture. Stablecoin funding and withdrawals are handled through smart-contract funding paths, and position state is maintained through on-chain position contracts. Matching, order execution, pricing, margining, and risk controls operate off-chain.

Quote.Trade is therefore a hybrid dark pool DEX rather than a fully on-chain exchange.

No. Quote.Trade is not a spot AMM swap like Uniswap. Quote.Trade supports trading long and short with leverage through a stablecoin-settled, collateral-based model.

Users do not swap one token for another through an on-chain liquidity pool. They trade supported market exposure through Quote.Trade's dark-pool execution model, with collateral, margin, risk, and position state handled across on-chain and off-chain layers.

Yes. Quote.Trade trading is collateral-based, not a simple token-for-token swap. Users fund their account with supported stablecoins before trading. That collateral supports long or short positions and determines available buying power, margin, withdrawal eligibility, and risk status.

Account and trading workflows expose margin-related fields such as initial margin, maintenance margin, margin balance, position margin, unrealized profit and loss, and wallet balance.

No. Users do not need to acquire and bridge every underlying crypto asset before trading a supported market. Quote.Trade uses a stablecoin-settled account model, so users fund with a supported stablecoin and trade positions linked to supported markets.

Quote.Trade is not a general-purpose bridge. Users may still need to move their stablecoin onto an accepted funding network before depositing.

Quote.Trade supports a broad range of crypto markets, with new markets added over time. The live trading interface and production market metadata are the sources of truth for currently active symbols, settlement currency, minimum order size, quantity precision, and leverage availability.

Yes. Quote.Trade supports both long and short positions, with leverage of up to 5x where enabled. Leverage can amplify both gains and losses and may increase the risk of liquidation. Confirm the direction, size, price, and leverage setting before submitting every order.

Quote.Trade charges no trading fees. Every quote is presented as an all-in execution price, with no separate commission or trading fee added afterward.

This makes the exact price and cost clear before execution for human traders, trading bots, and AI agents, making pricing simpler to understand, compare, and automate.

Every supported asset and its trading specifications should be available through Quote.Trade's market metadata. Traders, bots, and agents should review symbol status, settlement currency, minimum order size, precision, leverage availability, and other market rules before opening a position.

Permissionless Quote.Trade is the smart-contract-funded version of Quote.Trade. Users fund with supported stablecoins through the Ethereum or XDC funding layer, trade through Quote.Trade's dark-pool execution engine, and have position state maintained through the position layer.

Funding and withdrawal rails are anchored to public smart contracts, while order entry, matching, execution, pricing, and risk controls operate off-chain.

Supported stablecoin funding is handled through the Ethereum or XDC funding layer. The position contract is used for position state and withdrawal checks; it does not custody user assets.

The funding layer is the stablecoin custody-side rail and controlled withdrawal-release path, while the position layer records positions and supports withdrawal checks.

Permissionless Quote.Trade uses shared funding contract infrastructure for supported stablecoin custody rather than deploying a separate custody contract for each user. User balances and withdrawal eligibility are tracked by account and checked against position-state data before release.

The position contract stores position records and is a non-custodial layer with no ERC-20 custody transfer path.

Contract payout certainty means eligible withdrawals follow a published funding and position-state control path rather than an opaque manual payout process. In the permissionless version, withdrawal requests are checked against position state and freshness controls before approved funds are released from the funding layer.

The payout path is structured around contract-held collateral, position-state checks, snapshot completeness, and controlled release logic. It is not a guarantee against trading losses, liquidation, ADL, market disruption, or smart-contract risk.

Funding, position state, and withdrawals are separated into different layers. Users fund with supported stablecoins through the smart-contract funding path. Orders are matched and risk-managed through the off-chain dark-pool engine. Position snapshots and related state are written to the position layer.

When a user requests a withdrawal, Quote.Trade checks current position state and freshness gates. If the request is eligible, approved funds are released through the smart-contract funding layer to the same account address.

In Permissionless Quote.Trade, payout confidence comes from the funding layer, position-state checks, snapshot freshness controls, and the withdrawal-release path. Users should be able to verify contract balances, position-state recency, and withdrawal status through public contract and explorer links.

In Quote.Trade Pro, payout confidence comes from the qualified-custodian account structure, contractual settlement terms, reconciliation procedures, margin rules, and reporting. The Pro version should not use the same proof language as the smart-contract-funded version.

Quote.Trade uses aggregated prices from major exchanges as real-time price references for mark prices. Quote.Trade does not set asset prices on its own.

Price references are published with a hash so historical price data can be checked for tampering. This is a price-publication and integrity model; it should be described separately from any public oracle contract if one is not being used.

Quote.Trade funding rates are fixed at 0.01% every 8 hours. Because the rate is fixed rather than dynamically adjusted by discretion, the funding-rate value itself is not an operator-selected variable from trade to trade.

Traders, bots, and agents should still review the current funding terms before holding leveraged positions.

ADL means auto-deleveraging. It is an emergency risk-control mechanism that can reduce or close positions when ordinary margin, liquidation, and collateral controls are insufficient to keep the market balanced.

If ADL is triggered, positions may be reduced according to a published priority methodology and executed as an automatic trade.

Quote.Trade's risk controls should be evaluated through published inputs, proofs, fixed rules, and account-risk logic rather than trust in a marketing claim. Price references are published with proof and can be compared to other markets. Funding rates are fixed. Liquidations and ADL follow automated rules based on account margin and risk.

For institutional review, the strongest supporting materials are public price-reference history, funding-rate rules, liquidation methodology, ADL methodology, and auditable risk-event records.

The current verification model is based on published position state, public contract balances, and real-time reconciliation against funded assets—not a broad zero-knowledge proof claim.

Users can verify public smart-contract addresses, funding contracts, position contracts, and relevant on-chain activity through the explorer links provided on the homepage. These links support review of the public funding and position-state layers.

The footer links to smart-contract explorers for position and funding contracts, along with the smart-contract audit and technical overview.

Quote.Trade published a V6 public-scope smart-contract audit dated August 20, 2026. The review covered the V6 Ethereum and XDC funding contracts, the constrained V1 fallback/hotwallet path, and the Polygon and XDC position layer. It reported no critical, high, or medium code-level findings within the reviewed public scope.

Private code, infrastructure penetration testing, signer custody, formal proofs, legal attestations, financial audits, and proprietary offline-engine verification were outside the review.

Users trust Quote.Trade's off-chain node for order execution, liquidation, ADL if applicable, and operational risk controls. The execution engine receives order parameters but not the trader's broader strategy. The on-chain contracts support funding, withdrawal release, and position-state checks.

Quote.Trade Pro is the permissioned version of Quote.Trade for institutions, eligible professional users, and approved counterparties. Instead of funding through the public smart-contract custody path, Pro users fund through a qualified custodian or approved custody arrangement.

The trading experience can still use Quote.Trade's dark-pool execution, pricing, risk, API, and agent infrastructure, while custody, onboarding, legal terms, and reporting are handled through the permissioned Pro model.

The major difference is custody and access. Permissionless Quote.Trade uses smart-contract funding and public on-chain position-state infrastructure. Quote.Trade Pro uses permissioned onboarding and qualified-custodian funding for approved users.

• Permissionless: wallet or user-account access, smart-contract funding, public position-state checks.
• Pro: approved access, qualified-custodian funding, institutional reconciliation and reporting.

Use Permissionless Quote.Trade if you want smart-contract-funded access. Use Quote.Trade Pro if you need qualified-custodian funding, institutional onboarding, and professional reporting. Traders, bots, and agents can use either model if they meet the applicable access and permission requirements.

In Quote.Trade Pro, funds are held through a third-party qualified custodian rather than the public smart-contract funding path. Quote.Trade does not custody assets for Pro customers.

Pro users should review the applicable custody arrangement, settlement process, reconciliation cadence, authorization controls, and reporting terms before trading.

Yes. Quote.Trade Pro provides permissioned access to Quote.Trade's dark-pool execution and risk infrastructure. The custody path differs, but the product can still support long and short exposure, all-in quotes, APIs, bots, and AI-agent workflows.

Yes. Pro users trade against posted or allocated collateral. The difference is where that collateral is held and how it is reported.

In Permissionless Quote.Trade, collateral is funded through the smart-contract path. In Quote.Trade Pro, collateral is held or allocated through a qualified custodian or approved permissioned funding arrangement.

In Quote.Trade Pro, payout certainty is managed through qualified-custodian controls. The Pro proof model depends on custodian account structure, contractual settlement terms, reconciliation procedures, margin rules, and reporting rather than the public smart-contract funding path.

Yes. Quote.Trade Pro uses the same published pricing, funding, liquidation, and ADL methodology as Permissionless Quote.Trade. Where institutional documentation adds account-specific terms, those terms should be reviewed alongside the public methodology.

Pro and Permissionless have different risk models, not a simple more-secure or less-secure relationship. Permissionless gives users public smart-contract funding and on-chain position-state visibility. Pro gives approved users qualified-custodian funding, institutional onboarding, reporting, and contractual controls.

The right choice depends on the user's custody preference, legal requirements, operational needs, and risk policy.

Yes. Quote.Trade supports trading bots and AI agents through REST, WebSocket, OpenAPI, MCP, Hermes, OpenClaw, and open-source client integrations. Public interfaces provide platform status, instruments, exchange information, ticker data, and order-book depth. Authenticated workflows can access permitted account information and controlled order operations.

Production agents should use scoped credentials, order previews, explicit approval, symbol restrictions, notional limits, and leverage controls.

Quote.Trade publishes API documentation, a For Agents and MCP guide, an authenticated trading reference, a verified public OpenAPI schema, llms.txt, MCP discovery JSON, Hermes and OpenClaw skills, a live Telegram bot, and open-source Telegram and CLI bot repositories.

Bots and AI agents should check quote details, account margin, position risk, and order approval before submitting live trades. An agent should verify that the symbol is allowed, the quote is current, notional is within limits, leverage is approved, and account risk is acceptable.

Agents should not receive withdrawal authority or unrestricted live-order permissions.

Yes. AI agents and bots can be supported in both models, but permissions should be scoped differently. Permissionless agents should use limited API credentials, order previews, symbol limits, and no withdrawal permissions. Pro agents should add institutional approval controls, account-level limits, audit logs, and stricter operational policies.

Yes. Quote.Trade documents a hosted Streamable HTTP MCP endpoint using JSON-RPC 2.0 over HTTP POST.

Documented methods include initialize, notifications/initialized, ping, tools/list, and tools/call. A browser or client sending GET /mcp should normally receive 405 Method Not Allowed because MCP requests must be sent by POST.