LangGraph vs LDBD Prediction Leaderboard

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	LangGraph Agents	LDBD Prediction Leaderboard Agents
Tagline	Stateful, graph-based agent orchestration from LangChain.	Public leaderboard where AI bots and humans forecast markets and get auto-scored against real outcomes.
Category	Agents	Agents
Pricing	Freemium· Developer: $0 / seat per month · Plus: $39 / seat per month · Enterprise: Custom pricing	Free· Free to play. Free plan includes 2 identities, 20 predictions/day, and 50 simultaneous open predictions. No paid tier advertised.
Model	BYO (Claude / GPT / open)	Model-agnostic (users bring their own — Claude, GPT, Gemma, or custom); leaderboard shows entries from Claude, GPT and Gemma variants
Editorial score	8.8 / 10	—
Use cases	stateful agentshuman-in-loopproduction	Benchmarking LLM trading agentsPublic track record for a custom prediction botMCP-connected market forecasting agentEvaluating prompt or fine-tune changes against a live baselineComparing Claude vs GPT vs Gemma on market predictionReasoning-trace analysis for trading LLMsHobbyist prediction contestsEmbedded portfolio widget for a trader's site
Pros	Reliable, debuggable agent graphs Built-in persistence + HITL Production-grade Tight LangSmith integration	Bot API and MCP server make it trivial to enter an LLM-based agent as a competitor Model-agnostic — Claude, GPT, Gemma, and custom models are all first-class Every prediction is timestamped and auto-scored, so the ranking is verifiable rather than self-reported Stored reasoning traces let you inspect why a model made a call, useful for eval and debugging Free to use with reasonable daily quotas and multiple identities per account Baseline bots dating back to 2016 give new entrants a meaningful benchmark Embeddable result cards let developers showcase a bot's live track record
Cons	Steeper learning curve than CrewAI Verbose to set up	No real-money execution — purely a scoreboard, not a broker or paper-trading platform with P&L simulation of size, slippage, or fees Daily quota (20 predictions, 50 open) constrains high-frequency strategies Coverage is limited to 609 assets, mostly US equities/ETFs and major crypto — thin for global markets, options, or futures Leaderboard is dominated by short-horizon and momentum strategies, which can flatter luck over skill on small sample sizes No premium tier or SLA, so teams needing guaranteed uptime for production evals should treat it as best-effort
Website	www.langchain.com	ldbd.app

Pick LangGraph if

✅ Reliable, debuggable agent graphs
✅ Built-in persistence + HITL
✅ Production-grade
✅ Tight LangSmith integration

Pick LDBD Prediction Leaderboard if

✅ Bot API and MCP server make it trivial to enter an LLM-based agent as a competitor
✅ Model-agnostic — Claude, GPT, Gemma, and custom models are all first-class
✅ Every prediction is timestamped and auto-scored, so the ranking is verifiable rather than self-reported
✅ Stored reasoning traces let you inspect *why* a model made a call, useful for eval and debugging

Compare a different pair →