Tickdb Unified Realtime Marketdata Api
Unified real-time market data API with provenance metadata and native MCP support for AI agents and quant traders.
TickDB is a solid choice for serious quant work and AI research where data integrity matters — the $99/mo entry is justifiable. However, EU/JP coverage gaps and lack of a permanent free tier make it less appealing for hobbyists; they should stick with freemium APIs. We recommend it for multi-market strategies and AI-driven analysis, not casual projects.
Verified 3d ago · liveness 69/100 · cite: rightaichoice.com/tools/tickdb-unified-realtime-marketdata-api
- Quantitative traders building algorithmic strategies that need auditable, provenance-tracked data
- AI researchers and developers wiring real-time market data into LLM agents via MCP
- Developers creating multi-asset dashboards that demand data integrity and gap detection
- Backtesting analysts who need verified historical data with clear gap-handling workflows
- Beginners looking for a ready-to-use trading platform with signals and auto-trading
- Traders who need European or Japanese market data—not covered in the six markets
- Users seeking a permanent free tier—the free plan is only a 7-day trial
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Skip TickDB if you only need single-market data, want a permanent free tier, or are a hobbyist on a tight budget—you'll find cheaper or freemium alternatives that fit better.
Going beyond the Starter tier's rate limits may require upgrading to Professional at $299/mo, which adds up if you have high-frequency queries.
TickDB's pricing fits professional quant traders and AI teams who need reliable multi-market data with provenance. At $99/mo for Starter, it's competitive with Polygon.io's paid tiers, but cheaper than dedicated institutional feeds like Bloomberg. For hobbyists, AkShare or Tushare (free) are more cost-effective, while TickDB justifies its cost with data integrity features.
In short
Tickdb Unified Realtime Marketdata Api — Unified real-time market data API with provenance metadata and native MCP support for AI agents and quant traders. Best for Quantitative traders building algorithmic strategies that need auditable, provenance-tracked data, AI researchers and developers wiring real-time market data into LLM agents via MCP, Developers creating multi-asset dashboards that demand data integrity and gap detection. Free to start; paid plans from $9979/mo.
What's new in Tickdb Unified Realtime Marketdata Api
Checked yesterdayAcross the latest 10 updates: 3 feature updates and 7 news mentions.
A股实时行情看板怎么做:多股票监控里,WebSocket 有消息不等于全表已更新
Blog post highlights common pitfall in multi-stock dashboards: price presence doesn't guarantee real-time updates. Proposes solution using TickDB REST snapshots and WebSocket streams with state tracking.
A股实时行情看板别只显示最后价格:多股票监控还要看什么状态
Advises that displaying the last price alone is insufficient for real-time monitoring. Recommends tracking last message time and status per stock using TickDB REST and WebSocket.
Claude/DeepSeek查不到寒武纪实时行情?MCP工具5步配置,AI答案自带时间戳
Shows how to configure MCP tools for real-time quotes, addressing stale AI answers. Provides 5-step setup so responses include timestamps.
实时行情 REST API 选型实战:A股/港股/美股统一接入的工程验证框架(Python示例)
Presents a pragmatic framework for evaluating multi-market REST APIs, with Python examples. Stresses that 'works in test' isn't production-ready.
同花顺宣布MCP支持、AI Agent开源项目涌现——给AI Agent接行情数据,哪个方案真能用?
Compares MCP solutions for AI agents: Tonghuashun's announcement vs open-source projects vs TickDB's MCP tools. Emphasizes actual usability differences based on real tests.
外汇黄金实时行情 API:做 24 小时看板,免费、开源和专业数据源怎么选?
Analyzes free vs open-source vs professional APIs for FX/gold dashboards, using XAUUSD as example. Warns that free APIs lack reliability for production monitoring.
港股数据API怎么选:券商接口(Futu、Tiger)和独立行情服务商(TickDB),到底差在哪
Compares broker APIs (Futu, Tiger) vs independent data providers (TickDB) for HK stocks. Concludes independent providers better for long-term research use.
2026年A股数据API怎么选?免费、开源和专业数据源对比,附真实调用
Provides decision guide for A-share data APIs: free/open-source for historical research, professional for daily tasks. Includes real code examples.
AI量化研究怎么做才可复跑?用 Codex 接入金融行情数据API跑一遍
Demonstrates reproducible AI quant research with Codex and market data API. Warns about silent runs lacking context; recommends logging parameters and raw responses.
股票数据接口怎么选:同时做A股、美股、港股,该接一家还是三家?
Compares single vs multiple data sources for cross-market coverage. Suggests starting with a unified API for validation, then fill gaps.
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: September 2026
How we score →Key Features
- Unified access to 6 markets: Forex, Indices, US/HK/A-Share stocks, Crypto
- Level 1 and Level 2 order book data
- Historical K-lines with configurable periods (1m, 5m, 1h, 1d, etc.)
- REST API and WebSocket streaming with auto-reconnection
- MCP (Model Context Protocol) integration for AI agents
- Skill interface for zero-config chat with ChatGPT/Claude
- CLI tool with 16 commands
- SDKs for Python, JavaScript, Go, Java, Rust
- Market state indicators (pre-market, regular, after-hours)
- Data provenance with source timestamps and timestamp semantics
- Gap detection and repair (gap_report)
- Multi-symbol batch queries
- Physical and adjusted (split/dividend) prices
- Night session data for Asian markets
- Multi-market stock scanning and fund flow data in a single REST call
About Tickdb Unified Realtime Marketdata Api
TickDB is a unified real-time market data API that gives quant traders, AI researchers, and developers a single gateway to live data across six major markets: Forex, Indices, US Stocks, HK Stocks, A-Shares, and Crypto. It delivers Level 1 and Level 2 order book data, historical K-lines with configurable periods (1m, 5m, 1h, 1d), and real-time streaming with auto-reconnection and gap repair. Every data point carries metadata—market state (pre-market, regular, after-hours), source timestamps, and timestamp semantics—so you can trace where the data came from and detect gaps or conflicts, which is critical for backtesting and compliance. Access is flexible: REST API, WebSocket, CLI (16 commands), and AI-native interfaces like MCP and custom Skills. The MCP integration lets ChatGPT and Claude query live data directly, making it AI-ready in minutes without extra configuration. SDKs are available for Python, JavaScript, Go, Java, and Rust, and multi-symbol batch queries plus physical/adjusted prices (split/dividend) cover the needs of serious strategy builders. TickDB positions itself as the data layer with provenance and chain-of-custody—a differentiator for institutions and quant funds that need verifiable data. Recent blog posts stress data accuracy: real-time K-line last bars are only final after the period ends, incomplete minute data should be classified (exclude, re-pull, or pending verification) rather than blindly filled, and price stalls often just mean the market is in pre-market or after-hours. The free 7-day trial (no credit card) lets you test the waters before committing to paid tiers starting at $99/mo. Compared to broader APIs like Polygon.io, TickDB focuses on data provenance and gap detection rather than raw coverage, making it a strong choice when data integrity is non-negotiable. For free options like AkShare or Tushare, it offers reliability and a unified multi-market feed.
Behind the Verdict
When you're building algorithmic strategies across multiple markets, the last thing you want is to second-guess your data. TickDB's provenance metadata and gap detection give you a clear audit trail — you know exactly when a bar is final, whether a price stall is just pre-market, and where gaps exist. That's a real edge for backtesting, because using daily bars for intraday strategies or misreading stale prices can silently ruin your results. Where TickDB really shines is the AI angle. The MCP integration means you can wire ChatGPT or Claude into live market data in minutes, and the recent blog posts show practical workflows with Codex for reproducible quant research. If you're experimenting with LLM agents that need real-time feeds, this is a much cleaner path than stitching together multiple APIs. But it's not for everyone. The six-market coverage — Forex, Indices, US/HK/A-Share stocks, Crypto — leaves out Europe and Japan, so if those are your focus, look elsewhere. And there's no permanent free tier; just a 7-day trial. At $99/mo entry, it's a real investment, so casual hobbyists or single-market traders are better off with cheaper or freemium options like AkShare or Tushare. Compared to Polygon.io, TickDB trades raw coverage for data integrity. Polygon gives you more markets and endpoints, but TickDB's chain-of-custody metadata is a differentiator for institutions that need compliance-ready feeds. For multi-market strategies and AI-driven analysis, we'd reach for TickDB; for broad flexibility on a budget, Polygon might win. In practice, the CLI with 16 commands and SDKs for Python, JavaScript, Go, Java, and Rust mean you can integrate without much friction. Just be prepared to pay for the reliability — it's a premium product for serious users.
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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.
Running a backtest on US stocks with minute-level data
Outcome: You pull historical K-lines with proper dividend adjustment, use the trading calendar to classify incomplete bars, and get a reliable result without data gaps.
Building a chatbot that answers stock queries with live prices
Outcome: You connect TickDB via MCP, so ChatGPT or Claude can query real-time quotes directly using natural language, no extra coding.
Monitoring crypto, forex, and A-shares simultaneously
Outcome: You use WebSocket streaming with auto-reconnection to keep all markets in sync, and rely on market state indicators to avoid misreading pre-market prices.
Use Cases
- Build a real-time multi-market dashboard for US, HK, and A-share stocks with market state indicators
- Integrate live stock quotes into an AI chatbot via MCP (Model Context Protocol)
- Run backtests on 10 years of historical K-line data with proper dividend adjustment
- Monitor crypto and forex pairs simultaneously with WebSocket streaming and auto-reconnection
- Resolve data conflicts between multiple sources using provenance timestamps
- Create automated alerts based on real-time bid-ask depth changes
- Scan and screen stocks across A/HK/US markets with unified REST API
Limitations
- TickDB is a real-time market data API, not an AI model provider, and no underlying AI model is named in the provided evidence.
- The evidence discusses data freshness, market coverage, and API usage but does not specify free tier limits, data delays, or other API constraints.
- As a result, concrete limitations cannot be asserted beyond its role as a market data API.
as of 2026-08-24
Verification history
We have re-verified Tickdb Unified Realtime Marketdata Api 7 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 7 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 (7-day trial)
$0
Ideal for
Prospective users wanting to evaluate TickDB's full feature set before committing; no credit card required, so it's low-risk for testing.
What this tier adds
Starting free tier with full access for 7 days, unlike paid plans that kick in after the trial.
Starter
$99/mo ($79/mo billed quarterly)
Ideal for
Individual quant traders or small teams needing core market data with standard support, priced at $99/mo.
What this tier adds
Adds full core data access, REST and WebSocket, MCP integrations, and standard support, compared to the free trial.
Professional
$299/mo ($239/mo billed quarterly)
Ideal for
Professional traders and researchers requiring advanced data features and higher rate limits, at $299/mo.
What this tier adds
Includes advanced data features, higher rate limits, and priority support over Starter.
Enterprise
$899/mo ($719/mo billed quarterly)
Ideal for
Institutions and quant funds that need dedicated infrastructure, custom SLAs, and full chain-of-custody compliance, at $899/mo.
What this tier adds
Provides dedicated infrastructure, custom SLAs, and full compliance compared to Professional.
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.
TickDB's pricing fits professional quant traders and AI teams who need reliable multi-market data with provenance. At $99/mo for Starter, it's competitive with Polygon.io's paid tiers, but cheaper than dedicated institutional feeds like Bloomberg. For hobbyists, AkShare or Tushare (free) are more cost-effective, while TickDB justifies its cost with data integrity features.
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.
For developers, you can get started with REST API within minutes—just sign up for the 7-day trial and make your first call. The MCP integration is plug-and-play with ChatGPT or Claude, so AI agents can be wired in under an hour. CLI users can explore the 16 commands quickly, and SDKs reduce integration to a few lines of code.
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 Polygon.io: Replace Polygon's REST calls with TickDB's endpoints, and add provenance checks to your pipeline using source timestamps.
- →From AkShare/Tushare: Upgrading from free sources, you get unified multi-market access and better reliability, but you'll need to adapt to a paid API and new authentication.
- ↗To AkShare: If budget becomes a constraint, you can switch to free sources, though you'll lose unified coverage and provenance metadata.
- ↗To Bloomberg: If you need institutional-grade data with terminal access, you'll pay significantly more but get broader coverage and support.
Integrations
Resources & Guides
Tutorials & Learning
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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