Chart Library vs Telonex: Which is Better in 2026?
A comprehensive comparison of Chart Library and Telonex covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Chart Library if:
- →You want more affordable paid plans (from $15.83/mo)
- →You need a broader feature set (8 features vs 5)
- →You need 25m+ indexed patterns across 19,000 symbols and 10 years or outcome-mode split with sample counts, median forward returns, and up-rates
Choose Telonex if:
- →You need tick-by-tick order book depth, not interval-sampled snapshots or onchain fills indexed from polygon and bnb smart chain since nov 2022
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Chart Library vs Telonex: At a Glance
Pricing Comparison: Chart Library vs Telonex
Understanding the pricing differences between Chart Library and Telonex is crucial for making the right choice. Here's how their plans compare side by side.
Chart Library Pricing
Telonex Pricing
💡 Pricing takeaway: Both Chart Library and Telonex offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Chart Library and Telonex stacks up.
What Makes Each Tool Unique
🔵 Unique to Chart Library
Features available in Chart Library but not in Telonex:
- ✓25M+ indexed patterns across 19,000 symbols and 10 years
- ✓Outcome-mode split with sample counts, median forward returns, and up-rates
- ✓Held-out coverage receipt: 80.8% against a nominal 80% band over 310,592 audited cases
- ✓PIT / rank histogram published, flat to within 0.5pp across 311K+ cases
- ✓Hosted MCP endpoint requiring no account, plus a local pip-installable MCP server
- ✓Canonical agent loop: search → pull_comps → introspect → track_record
- ✓/llms.txt published for model consumption
- ✓Daily rebuild with 1-hour bars and configurable forward windows
🟣 Unique to Telonex
Features available in Telonex but not in Chart Library:
- ✓Tick-by-tick order book depth, not interval-sampled snapshots
- ✓Onchain fills indexed from Polygon and BNB Smart Chain since Nov 2022
- ✓Resolution price ticks with both source and receive timestamps
- ✓One schema and one API key across four exchanges, daily Parquet files
- ✓Market metadata free to download with no account
Use Case Recommendations
Best for: Chart Library
Chart Library is a historical-analog retrieval engine for markets, exposed to both humans and AI agents. Anchor a symbol, date, and timeframe, and it returns comparable historical situations from an index of more than 25 million patterns spanning ten years and 19,000 symbols — then shows what actually happened next in each, split into outcome modes such as clean continuation, choppy uptrend, sideways drift, and failed breakout, with sample counts, median forward returns, and up-rates per mode. The framing is deliberately empirical rather than predictive: it reports the distribution of what analogs did, not a forecast. What makes it credible for agent use is the auditability. The vendor publishes trust receipts, including a held-out coverage figure of 80.8% against a nominal 80% forward-return band across 310,592 audited cases, and a PIT/rank histogram that stays flat across 311,000+ cases with a maximum deviation of 0.5 percentage points — meaning realized outcomes landed where the served distributions said they would along the whole shape, not just at one band. For agent builders, there is a hosted MCP endpoint that needs no account, plus a pip-installable local MCP server, and a canonical loop of search, pull_comps, introspect, and track_record. An /llms.txt file is published for model consumption. The intent is to give a trading agent base rates and auditable evidence instead of another opinion.
Ideal use cases:
- •Teams or individuals who need 25m+ indexed patterns across 19,000 symbols and 10 years
- •Teams or individuals who need outcome-mode split with sample counts, median forward returns, and up-rates
- •Teams or individuals who need held-out coverage receipt: 80.8% against a nominal 80% band over 310,592 audited cases
- •Teams or individuals who need pit / rank histogram published, flat to within 0.5pp across 311k+ cases
- •Anyone focused on finance workflows
- •Anyone focused on mcp workflows
Best for: Telonex
Telonex sells historical prediction-market data for backtesting and quantitative research, with Polymarket as the flagship dataset: every trade captured tick-by-tick over websocket with precise timestamps, full order book depth updated on every change rather than interval-sampled, top-of-book quotes on every change for spread and market-making analysis, daily end-of-day order book snapshots so you can start from a market state instead of replaying millions of events, onchain fills indexed from Polygon logs back to November 2022, wallet-level activity for tracking large traders and flow, and the exact crypto price ticks Polymarket uses to resolve BTC, ETH, SOL and other markets with both source and receive timestamps. Coverage extends to Polymarket Perps (trades, quotes, order books, funding rates and open interest since June 2026), Predict.fun on BNB Smart Chain (order books, quotes and onchain fills back to inception), and Binance spot for BTC, ETH, SOL and XRP since February 2026 for cross-market research. The vendor reports 1M+ markets and 100B+ data points across four exchanges. Everything is cleaned, normalized to one schema, delivered as daily Parquet files behind a single API key, and updated daily. Market metadata — titles, outcomes, resolution status and identifiers for every market — is free to download with no account at all, which makes the dataset browsable before you commit.
Ideal use cases:
- •Teams or individuals who need tick-by-tick order book depth, not interval-sampled snapshots
- •Teams or individuals who need onchain fills indexed from polygon and bnb smart chain since nov 2022
- •Teams or individuals who need resolution price ticks with both source and receive timestamps
- •Teams or individuals who need one schema and one api key across four exchanges, daily parquet files
- •Anyone focused on prediction-markets workflows
- •Anyone focused on polymarket workflows
📊 Other Data & Analytics Tools to Consider
Chart Library and Telonex aren't the only options. Here are other popular tools in the same space:
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Akkio
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Hex
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MindsDB
AI layer for databases with SQL ML
Obviously AI
No-code ML platform for predictions
Julius AI
Chat with your data for instant analysis
Is one of these your tool?
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Frequently Asked Questions
Is Chart Library better than Telonex?
It depends on your needs. Chart Library offers 8 key features including 25M+ indexed patterns across 19,000 symbols and 10 years and Outcome-mode split with sample counts, median forward returns, and up-rates, while Telonex provides 5 features including Tick-by-tick order book depth, not interval-sampled snapshots and Onchain fills indexed from Polygon and BNB Smart Chain since Nov 2022. Chart Library uses a freemium model with a free tier, while Telonex is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Chart Library cheaper than Telonex?
Chart Library is cheaper, starting at $15.83/month compared to Telonex's $99/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Chart Library and Telonex together?
Yes, many users combine Chart Library and Telonex in their workflow. Chart Library excels at 25m+ indexed patterns across 19,000 symbols and 10 years, while Telonex shines with tick-by-tick order book depth, not interval-sampled snapshots. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Chart Library and Telonex?
While both are data & analytics tools, Chart Library emphasizes 25m+ indexed patterns across 19,000 symbols and 10 years, whereas Telonex is known for tick-by-tick order book depth, not interval-sampled snapshots. The best choice depends on your specific workflow and feature priorities.
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