PromptUnit vs Rootsign

Bottom line

PromptUnit has a free plan plus paid upgrades, while Rootsign is free. Rootsign is open source and PromptUnit is not. You can run Rootsign on your own machine or server; PromptUnit is hosted by the vendor.

Which one should you try?

PromptUnit

Freemium

Best for Engineering teams with high AI API spend

Visit PromptUnit See full review

Rootsign

Free

Best for Teams needing verifiable provenance for agent actions

Visit Rootsign See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

PromptUnit

AI proxy that automatically routes requests to cheaper models while maintaining quality.

Rootsign

RootSign is an open-source Python library that attaches tamper-evident provenance logging to AI agent actions — tool calls, API hits, database writes — capturing a verifiable record of what happened, in what order, and under whose authorization. The vendor describes it as the agent capture layer of a broader Agent Accountability Platform. It installs via pip and ships a Docker Compose quickstart for self-hosting, so the audit trail stays inside your infrastructure. The library integrates with LangGraph and CrewAI by wrapping agent actions at the point of execution. At low log volume the architecture holds; teams with high-throughput agents running thousands of tool calls per hour will hit questions the current documentation does not answer about storage scaling and query performance.

Attribute	PromptUnit	Rootsign
Pricing	Freemium	Free
Price	20% of verified savings	—
Pricing checked	Jun 11, 2026	Not checked yet
Free trial	14 days	Not stated
Open source	No	Yes
Has API	Yes	No
Self-hosted option	No	Yes
Platforms	Cloud-based	Python 3.11+
Pros	No code changes required; works with existing SDKs Performance-based pricing means savings are shared with vendor 14-day free observation period before routing goes live Real-time cost breakdown by model, feature, and user Explains routing decisions for transparency	Tamper-evident log entries, so the audit trail you hand to a compliance reviewer cannot be silently altered after the fact — which is the difference between a debug log and a defensible compliance artifact. Self-hosted by design with a Docker Compose quickstart, so the provenance data never leaves your infrastructure — which matters when the records contain PII or financially sensitive agent decisions. Apache-2.0 licensed with no paid tier, so there is no vendor gate between your team and the full functionality — you are not discovering that audit export is a paid-only feature six weeks before an audit. Native fit for LangGraph and CrewAI, so teams already on those frameworks instrument their agents without rewriting the execution layer. Captures action sequence and authorization context alongside the action itself, so when something goes wrong you can reconstruct not just what the agent did but what authorized it to do so.
Cons	Adds median 41ms latency to API calls Requires observation period before realizing savings	There is no hosted backend, no SaaS option, and no managed storage — standing up and maintaining the infrastructure is entirely on your team. A team without DevOps capacity to run and scale a Dockerized Postgres-backed service will hit this wall before the first production deployment. The repository shows 2 stars and 32 commits, with one open issue. Community-sourced answers to edge cases — storage tuning, high-volume write patterns, schema migration in production — do not yet exist. Teams that hit an undocumented failure mode are debugging against source code, not a knowledge base. There is no REST API or webhook surface, meaning any external system that needs to read or react to the audit log must connect directly to the storage backend. Teams that need to feed provenance data into a SIEM or compliance platform will build that integration themselves. When agent call volume scales and the single Docker Compose deployment becomes a bottleneck, the documentation provides no guidance on horizontal scaling, write throughput limits, or storage partitioning. Teams at that scale will either architect a solution from scratch or switch to a purpose-built observability platform with a managed backend.

Made up your mind?

PromptUnit

Freemium

Best for Engineering teams with high AI API spend

Visit PromptUnit See full review

Rootsign

Free

Best for Teams needing verifiable provenance for agent actions

Visit Rootsign See full review

Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

PromptUnit vs Rootsign

Which one should you try?

PromptUnit

Rootsign

PromptUnit

Rootsign

Made up your mind?

PromptUnit

Rootsign

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