GammVault vs Novus

GammVault and Novus are both business tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

GammVault

The platform combines real-time options flow scanning with gamma exposure analysis to flag pinning zones and breakout levels, then layers on an AI assistant that can move from signal to execution within user-defined risk guardrails. For a solo trader who previously needed Bloomberg or FactSet access to see this data, that collapses a multi-tool workflow into one interface. Backtesting is built in, so you can validate a flow-based strategy before you commit capital. The free tier limits you to one analysis per day — enough to evaluate, not enough to trade. When you need multi-leg strategy recommendations across a fast-moving session, that ceiling becomes the session.

Novus

Novus scans your codebase, auto-instruments product analytics without requiring engineers to tag events by hand, and monitors user flows for regressions — flagging broken interactions before they reach production. The agentic layer goes further: it reviews pull requests for UX issues, proposes fixes, and can open its own PRs with remediation code, though a human signs off before anything merges. That approval gate is a deliberate design choice, not a limitation. Where the system strains is on the monitoring side: the scraped page content available does not confirm depth of support for complex branching flows or highly customized event schemas, so teams with mature, bespoke analytics stacks will need to validate fit before migrating.

Attribute	GammVault	Novus
Pricing	Paid	Paid
Free trial	7 days	No
Open source	No	No
Has API	Yes	Yes
Self-hosted option	No	No
Platforms	Web-based (cloud platform)	Web (SaaS); integrates with GitHub
Released	—	2026-03-25
Pros	Real-time gamma exposure analysis maps dealer positioning to specific price levels, so you're identifying pinning zones and breakout thresholds from the same data institutional desks use rather than guessing from price action alone. Unusual flow and large sweep detection surfaces entry signals as they hit the tape, which means you're not backreading a delay-buffered feed after the move has already extended. AI-assisted trade execution with user-defined risk guardrails lets the agent move from signal to order without requiring you to manually route each leg, so you can act on fast-moving sweep signals without being in front of a terminal every second. Backtesting and strategy validation is built into the same platform, so you can stress-test a flow-based hypothesis against historical data before committing capital instead of paper-trading blind. Provider-agnostic retail access to institutional data categories — gamma exposure, sweep data, multi-leg urgency scoring — means a solo trader can work from the same signal inputs as a desk that pays for Bloomberg, without a terminal contract.	Automatic codebase instrumentation without manual event tagging, so engineers stop losing sprint time to analytics upkeep every time a feature ships. Regression detection before production, which means broken user flows surface in review — not in a customer support ticket three days after release. PR-level UX review with generated fix proposals, so code moving fast through AI-assisted development gets a behavioral sanity check that manual review at speed cannot reliably provide. Unified monitoring of both human and agent-driven user flows, so product teams running AI features do not have to stitch together separate observability tools to see the full picture. Human approval required before any proposed code change merges, so the agentic layer accelerates without removing accountability from the team shipping the product.
Cons	The free tier caps you at one analysis per day. An intraday options trader watching a volatile open will exhaust that allocation in the first sweep of the session — at that point the tool is decorative, and you're back on whatever free screener you were using before. Complex multi-leg strategies that require real-time adjustment mid-session — rolling strikes as gamma levels shift, legging into spreads on the fly — require continuous analysis cadence that the entry-level access tier cannot support. Traders managing more than a few positions actively during market hours will find the analysis frequency mismatch forces them to a paid tier or to a competitor that offers uncapped scanning. No self-hosted deployment path exists. Any firm operating under compliance rules that restrict third-party cloud execution — common in proprietary trading environments and RIA operations with client account management — cannot use this tool in production, and no workaround is available.	No self-hosted deployment option is available, which means teams with data residency requirements or air-gapped environments cannot use Novus at all — those teams evaluate on-premises analytics platforms instead. Open beta status means the pricing model is not fixed; teams building production dependencies on Novus are accepting the risk of a cost structure change mid-roadmap, and teams with tight budget predictability requirements are better served by a tool with announced pricing. The automated instrumentation model assumes Novus can adequately represent your event taxonomy — teams with mature, deeply customized analytics schemas tied to external data warehouses or BI pipelines will hit a compatibility ceiling and either maintain a parallel manual instrumentation layer or migrate to a purpose-built pipeline tool.

Bottom line

GammVault and Novus are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.