Tickdb Unified Realtime Marketdata Api
Unified real-time market data API for Forex, US, HK, A-Share, Futures and Crypto — one feed, with provenance metadata and MCP access.
TickDB's real differentiator isn't breadth, it's the honesty layer: provenance metadata and gap_report tell you when a bar is final, which is the bug that quietly ruins backtests everywhere else. Starter at $99/mo month-to-month (or $79/mo billed quarterly at $950) is the realistic entry for a solo quant or a small AI build. If you trade a single market, a single-venue API is cheaper and faster.
Verified 2d ago · liveness 69/100 · cite: rightaichoice.com/tools/tickdb-unified-realtime-marketdata-api
- Quant traders running algorithmic strategies that need auditable, provenance-tracked multi-market data
- AI builders wiring live quotes into ChatGPT, Claude, Cursor or Codex through the hosted MCP server or the clawhub Skill
- Developers shipping multi-asset dashboards across US, HK, A-share, futures and crypto from one contract
- Backtesting analysts who want verified historical data with explicit gap classification rather than silent backfill
- Anyone needing European or Japanese market data — those venues aren't in the covered list
- Discretionary traders who want a charting platform with signals, screeners and auto-trading
- Teams that want the API to auto-fill incomplete minute data instead of returning a gap report
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Skip TickDB if your mandate fits inside one market — a broker terminal or a single-venue free feed covers you — or if you want charts, signals and auto-trading from the same vendor rather than a raw data layer.
The $79/mo Starter rate is the quarterly figure — billed $950 per quarter — so month-to-month costs $99/mo instead, a 25% premium for staying flexible.
Entry sits at $99/mo month-to-month, or $79/mo billed quarterly ($950 per quarter) — in the same band as paid market-data APIs and well under the regional full-market plans ($499/mo HK, $599/mo A-Shares, $699/mo US, all quarterly-billed rates) and Enterprise at $899/mo month-to-month. A solo quant or small AI build fits Starter; a desk needing three years of history, 3 WebSockets and news moves to Professional at $299/mo month-to-month. Single-venue free feeds remain cheaper if you only need
In short
Tickdb Unified Realtime Marketdata Api — Unified real-time market data API for Forex, US, HK, A-Share, Futures and Crypto — one feed, with provenance metadata and MCP access. Best for Quant traders running algorithmic strategies that need auditable, provenance-tracked multi-market data, AI builders wiring live quotes into ChatGPT, Claude, Cursor or Codex through the hosted MCP server or the clawhub Skill, Developers shipping multi-asset dashboards across US, HK, A-share, futures and crypto from one contract. Free to start; paid plans from $99/mo.
What's new in Tickdb Unified Realtime Marketdata Api
Checked todayAcross the latest 10 updates: 10 community discussions.
TickDB 博客：股票盘口数据档数与深度的比较方法
TickDB 博客对比苹果、寒武纪、腾讯、比特币的盘口档数，说明档数不等于深度，给出跨市场盘口接口示例。
TickDB 博客：A 股数据源的选型：历史下载与实时 API
TickDB 博客按历史回测、日线与分钟数据、实时 API 三类需求，给出 A 股数据源的选择与试接验证步骤。
TickDB 博客：美股盘前盘后行情接入与财报季涨跌幅计算
TickDB 博客以台积电财报日为例，拆解行情 App 在盘后、夜盘、盘前和开盘价之间计算涨跌幅时容易出错的 6 个点。
TickDB 博客：港股拟延长交易时段下的 K 线跨市场对齐
TickDB 博客以 Lightweight Charts 绘制腾讯日 K 为例，列出跨市场 K 线最容易画错的 10 个问题并附喂数代码。
TickDB 博客：用 MCP 在 ChatGPT 查跨市场行情
TickDB 博客演示通过 TickDB MCP 在 ChatGPT 中查询美股、外汇、黄金、原油的实时行情与历史 K 线。
TickDB 博客：A 股逐笔数据质量评估与历史对账
TickDB 博客以中际旭创、新易盛、宁德时代成交明细为例，说明逐笔数据的质量检查与实时订阅落库对账方法。
TickDB 博客：让 AI 生成跨市场行情 App 的 12 项检查
TickDB 博客测试 AI 编写行情 App 的出错情况，给出 12 项检查清单、提示词模板与自检脚本。
TickDB 博客：跨市场行情涨跌幅的分母选择
TickDB 博客以黄金同一价格对应 −0.69% 与 +0.24% 两个涨跌幅为例，拆解 4 个易错场景并给出跨市场分母清单。
TickDB 博客：A 股美股港股自选股行情接入
TickDB 博客讨论跨 A 股、港股、美股自选股的行情接入方式，以及价格、涨跌幅和成交额的统一展示。
TickDB 博客：用 React 构建实时行情与 K 线面板
TickDB 博客给出 Python 行情 API 接入与 React 实时行情、K 线面板的实战教程，覆盖美股历史数据下载。
Viability Score
How well maintained and how widely used is Tickdb Unified Realtime Marketdata Api? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Unified real-time market data for Forex & Metals, Indices, US Stocks, HK Stocks, A-Shares, China Futures, Hong Kong
- Real-time quotes (ticker) streamed over WebSocket
- Real-time K-line push over WebSocket
- Level 1 and Level 2 order book / depth streams
- Real-time trades stream
- Historical OHLCV K-lines with intraday periods and trading calendars
- Company fundamentals: financial statements, valuation and events
- Provenance metadata on every point: source timestamps, timestamp semantics and market state
- Market state flags for pre-market, regular and after-hours sessions
- gap_report for detecting and classifying missing minute bars
- MCP server hosted at mcp.tickdb.ai with HTTPS and header auth
- Skill access installed via npx clawhub — chat-to-use, zero setup
- CLI with 16 native commands, JSON and table output
- Official SDKs for Python, JavaScript, Go, Java and Rust
- REST and WebSocket APIs with multi-symbol batch queries in a single request
About Tickdb Unified Realtime Marketdata Api
TickDB is a unified real-time market data API covering seven markets — Forex & Metals, Indices, US Stocks, HK Stocks, A-Shares, China Futures, Hong Kong Futures and Crypto — through one connection and one authentication scheme. The aggregation layer pulls from LMAX, FXCM and Saxo for FX, NYSE and NASDAQ for US equities, HKEX for Hong Kong, and Binance, OKX and Bybit for crypto, then normalises everything to standardised JSON so you don't rewrite symbol conventions per venue. The data side is broad: real-time ticker, real-time K-line, order book depth and trade streams over WebSocket, plus historical OHLCV with intraday periods, trading calendars and company fundamentals (financial statements, valuation, events) on the higher tiers. Every point ships with provenance metadata — source timestamps, timestamp semantics and market state (pre-market, regular, after-hours) — and a gap_report that classifies missing minute bars instead of silently backfilling them. Access comes three ways on the same contract: a Skill installed via npx clawhub for chat-to-use setup, an MCP server at mcp.tickdb.ai for Claude Code, Claude Desktop, Codex, Cursor and other MCP clients, and a CLI with 16 native commands. Official SDKs cover Python, JavaScript, Go, Java and Rust, and TickDB publishes its own research on the pitfalls that bite cross-market builds — K-line timestamp-label conventions, A-share universe counts that differ by up to 500 symbols between providers, after-hours price verification. It is a data layer, not a trading platform and not a model. The closest alternatives are single-market APIs like Alpaca or a China-focused vendor like Wind or RiceQuant — cheaper if you only need one venue, but you'd be stitching the rest yourself.
Behind the Verdict
Most market data decisions get made on coverage and price. TickDB is asking you to make it on one more axis: can you tell whether the data you got back is complete? That's the whole argument for the product, and it's a good one. If you've ever run a backtest that looked fine, then gone live and watched the strategy bleed because a few hundred minute bars were quietly missing, the gap_report is worth the subscription by itself. The provenance fields — source timestamps, timestamp semantics, market state flags — do the same job for compliance and audit, where "the feed said so" isn't an answer. We'd reach for TickDB when the job spans markets. A dashboard that shows NVDA, 700.HK and 600519 side by side, an agent that needs a live quote inside ChatGPT or Claude, a screener that has to reconcile A-share universes without silently dropping 500 symbols — those are the builds where one normalisation layer pays for itself. The AI-native access is genuinely low-friction: the clawhub Skill gets you talking to live data in a conversation, and the MCP server at mcp.tickdb.ai is a few lines of config away in Cursor or Claude Desktop. Where it bites: the market coverage has hard edges. Europe and Japan aren't there, so a global macro book still needs a second vendor. There's no charting terminal, no signals and no order routing — this is plumbing. And the free option is a 7-day trial on selected symbols, not a forever-free tier, so budget for Starter if the pipeline works out. Watch the K-line timestamp convention carefully when you wire it up. TickDB's own research flags label mismatch as a top cause of backtest-versus-live divergence, and the fix is on your side: pin the convention, test it against a known session boundary, then trust it. Against the field: Alpaca is cheaper
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Real-world workflow fit
Concrete scenarios for the personas Tickdb Unified Realtime Marketdata Api actually fits — and what changes day-one when you adopt it.
Signs up for the 7-day trial, pulls three years of adjusted daily and 1-minute K-lines for a US and HK pair over REST, then subscribes to live ticker plus Level 1 depth for the same symbols over one WebSocket connection.
Outcome: Backtest and live feed share one symbol convention and one JSON shape; gap_report flags the minutes that were missing so the strategy isn't tuned on silently patched bars.
Registers the hosted MCP server at mcp.tickdb.ai in Claude Desktop or Cursor with header auth, then asks the agent for the current gold price, the S&P 500 level and Tencent's last trade.
Outcome: The agent answers with live values plus per-point provenance — source timestamp and market state — instead of a stale training-data guess, with no code written.
Uses the Python SDK to batch-query A-share, HK and US symbols in one REST call, renders them with native JS, and adds a WebSocket ticker subscription for the handful of symbols on screen.
Outcome: One authentication scheme and one response format drives a three-market panel, and the market-state field lets the UI grey out closed sessions correctly during holidays.
Use Cases
- Stream XAUUSD, GBPUSD, NVDA and 700.HK tickers over a single WebSocket subscription
- Answer "what's the gold price now?" inside Claude or ChatGPT with a timestamp attached, via the MCP server
- Backtest on one to ten years of historical K-lines with physical and adjusted split/dividend prices
- Detect and classify missing minute bars instead of blindly filling them before a strategy run
- Screen A-share, HK, US and futures symbols from a single REST call
- Build a multi-market dashboard showing per-symbol market state across pre-market, regular and after-hours
- Monitor crypto and forex pairs simultaneously with auto-reconnection and gap repair
- Wire live market context into an AI agent's tool loop through the MCP server or the CLI
Limitations
- TickDB is a market data API, not a trading platform and not an AI model provider — no underlying AI model is named in the available evidence, so what your agent produces depends on the LLM you point at it.
- Coverage is the markets listed on the site: Forex & Metals (LMAX, FXCM, Saxo), Indices, US Stocks (NYSE, NASDAQ), HK Stocks (HKEX), A-Shares, China and Hong Kong Futures, and Crypto (Binance, OKX, Bybit) — no listed European or Japanese equities, so a globally diversified mandate needs a second source.
- The free option is a 7-day trial capped at selected symbols, 5 concurrent subscriptions, 1 WebSocket connection and 30 requests/minute, so it is an evaluation window rather than production capacity.
- Incomplete minute data is classified rather than auto-filled by design, which is correct for research but will surprise anyone expecting silent patching.
- Paid plans step up through subscription-count and request-rate ceilings, and the headline price assumes quarterly billing — Starter is $99/mo month-to-month or $79/mo billed quarterly at $950 per quarter.
as of 2026-10-09
Verification history
We have re-verified Tickdb Unified Realtime Marketdata Api 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Tickdb Unified Realtime Marketdata Api tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Developers and quants evaluating whether TickDB's normalisation and provenance fields fit an existing pipeline before committing budget.
What this tier adds
Starting tier: a 7-day full-access trial with selected symbols, 5 concurrent subscriptions, real-time quotes and K-line, 1 WebSocket connection and 30 requests/minute, with no credit card required.
Starter
$99/mo
Ideal for
Solo quant or small AI build running a focused watchlist across FX, indices and a few equities, with one live WebSocket consumer.
What this tier adds
Adds all symbols, 50 full-market subscriptions, order book and trades streams, night session data and 1 year of history, doubling the API rate to 60 requests/minute.
Professional
$299/mo
Ideal for
Small desk or funded developer running multi-symbol strategies that need three years of history, several live connections and news alongside quotes.
What this tier adds
Raises to 300 subscriptions, 3 years of history, 3 WebSocket connections and 600 requests/minute, and adds news data and professional fundamentals with Telegram support.
All HK-Shares
$499/mo
Ideal for
Hong Kong-focused funds and traders wanting full-market HKEX coverage with one additional 1,000-subscription block.
What this tier adds
Regional full-market plan: adds 1,000 full-market subscriptions, 5 years of history, 5 WebSocket connections and 1,200 requests/minute on top of Professional-level features.
All A-Shares
$599/mo
Ideal for
Mainland-focused quants running whole-market A-share screening and needing five years of history.
What this tier adds
Adds 1,500 full-market subscriptions, 5 years of history, 5 WebSocket connections and 1,200 requests/minute — sized above the HK plan for a larger listed universe.
All US-Shares
$699/mo
Ideal for
US-equity desks wanting the widest regional subscription block available short of Enterprise.
What this tier adds
Adds 3,000 full-market subscriptions, 5 years of history, 5 WebSocket connections and 1,500 requests/minute, the highest regional request ceiling.
Enterprise
$899/mo
Ideal for
Funds and platforms needing compliance-ready chain-of-custody metadata, fund flow and multi-market scanning in a single REST call.
What this tier adds
Top tier: 10 years of history, 10 WebSocket connections, 1,800 requests/minute, 5,000+ additional subscriptions, plus compliance chain-of-custody metadata and multi-market scanning.
Where the pricing makes sense
The company stage and team size where Tickdb Unified Realtime Marketdata Api's pricing actually pencils out — and where peers do it cheaper.
Entry sits at $99/mo month-to-month, or $79/mo billed quarterly ($950 per quarter) — in the same band as paid market-data APIs and well under the regional full-market plans ($499/mo HK, $599/mo A-Shares, $699/mo US, all quarterly-billed rates) and Enterprise at $899/mo month-to-month. A solo quant or small AI build fits Starter; a desk needing three years of history, 3 WebSockets and news moves to Professional at $299/mo month-to-month. Single-venue free feeds remain cheaper if you only need
Setup time & first value
How long it actually takes to get something useful out of Tickdb Unified Realtime Marketdata Api — broken out by persona, not the marketing-page minute.
Free trial and API key are issued without a credit card, so the first HTTP ticker call in the browser sandbox takes under five minutes. MCP setup is a URL plus an auth header in your client — roughly ten minutes to a working agent query. A first production WebSocket subscription with SDK, symbol mapping and reconnect handling is a half-day for a developer; a full multi-market dashboard with
Switching to or from Tickdb Unified Realtime Marketdata Api
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a single-venue free feed: map your existing symbol list to TickDB's conventions, then replace the quote call — real-time quotes and K-lines come from the same endpoints you'll use across the other markets.
- →From per-market vendor contracts: consolidate by pointing each market's consumer at the unified REST and WebSocket endpoints, since authentication and JSON shape no longer vary by venue.
- →From hand-written REST polling: move the hot symbols to a single WebSocket subscription and keep REST for historical and batch queries, which removes most of your polling budget.
- →From a broker terminal export: re-pull the same instruments as historical K-lines with adjusted split/dividend prices so backtests aren't run on unadjusted prints.
- ↗To a single-market specialized feed: if you standardise on one venue, export your symbol map and historical series and swap the endpoints — the JSON shapes differ, so expect a parsing layer rewrite.
- ↗To a full trading platform: TickDB stays the data source while order routing moves elsewhere; there is no order-execution API to replace.
- ↗To an in-house collector: run both in parallel for a period and compare minute bars against gap_report to validate your own pipeline before cutting over.
Integrations
Resources & Guides
Tutorials & Learning
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Official links
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Featured Head-to-Head Comparisons
Tickdb Unified Realtime Marketdata Api vs Geologicai
GeologicAI and TickDB are in completely different domains—mining vs. financial market data. Choose GeologicAI if you need high-speed core scanning and AI logging for critical minerals exploration, backed by recent acquisitions and strong funding. Choose TickDB if you require real-time, auditable market data (US, HK, A-shares, crypto, forex) with data provenance for algorithmic trading or AI agent integration. No direct competition; decision hinges on your industry.
Tickdb Unified Realtime Marketdata Api vs Screenplayiq
These tools serve completely different domains: ScreenplayIQ for film analysis and Tickdb for financial market data. Your choice depends entirely on your industry—screenwriters bet on box office success, quants bet on price movements. Tickdb's recent news highlights its rigorous data provenance, a critical feature for algorithmic trading, while ScreenplayIQ offers a free tier for scriptwriters to test the waters. Start with the free tiers of both if both apply, but don't cross-sell them.
Tickdb Unified Realtime Marketdata Api vs Bitsgap
For automated crypto trading with bots, Bitsgap is the clear choice with its freemium model and integrated execution. For quantitative developers or AI researchers needing auditable, multi-asset market data for analysis or AI pipelines, TickDB offers unmatched data provenance and MCP support. Your decision hinges on whether you need trading execution or clean, compliant data.
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