Comments
>log in to comment- Zain Sheikh· 2mo ago
Scoring every run in production instead of only a fixed eval set makes sense, since drift rarely shows up in the offline suite. How do you score a run when there is no ground truth label for it?
Prefactor provides real-time observability, evaluation and enforcement for AI agents in production.
- for
- Teams building and shipping AI agents to customers.
- pricing
- freemium
Key features
- Instant SDK integration — Drop-in TypeScript or Python SDKs (LangChain, Claude, Vercel AI, OpenClaw, LiveKit) instrument every agent call.
- Real-time run visibility — Shows full traces, latency, cost and data-risk for each token, tool call and decision as they happen.
- Custom evals & scoring — Run LLM-as-judge, technical checks and qualitative metrics on every step, with human-in-the-loop feedback.
- Runtime enforcement — Pause, approve or block risky actions automatically or via human review through SDK or API.
- Agent lifecycle management — Version, stage (dev/staging/prod) and promote agents only when evals pass, with instant rollback.
- Custom spans — Attach external data (GitHub, Jira, DB, APIs) to runs so evaluations are grounded in real context.
Use cases
- Detect and halt a high-risk refund action before it executes
- Monitor latency and cost drift of an invoice-processing agent in production
- Validate that tool calls conform to a JSON schema during live runs
- Enforce PII redaction policies on customer-facing chat agents
- Roll out a new agent version only after passing real-traffic evals
Prefactor pricing
- DevFree5,000 spans/month · Up to 3 agents · 7-day data retention
- Startup$49/mo/month15,000 spans/month · Unlimited agents · 3-month data retention
- Scaleup$199/mo/month100,000 spans/month · 12-month data retention · Full real-time enforcement
Prefactor vs alternatives
 Prefactor |  Fine |  SuperAGI Cloud |  Calljmp |  Traccia | |
|---|---|---|---|---|---|
| Best for | Live scoring and risk control for AI agents | Agent development platform | Managed agent execution | Code-first agent backend | Agent control plane |
| Pricing | Freemium | Free | Free | Free | Subscription |
| DevHunt upvotes | 7 | 75 | 43 | 35 | 21 |
| Launched | Aug 2026 | Jan 2023 | Jan 2023 | Feb 2026 | Sep 2026 |
- Prefactor vs Fine: Focuses on building agents rather than runtime observability and enforcement
- Prefactor vs SuperAGI Cloud: Provides cloud hosting for agents but lacks real-time evaluation and enforcement layer
- Prefactor vs Calljmp: Runs agents as code with a managed backend, without built-in live scoring and risk control
- Prefactor vs Traccia: Offers a vendor-neutral control plane but does not include built-in SDKs for live span collection
Prefactor FAQ
How do I instrument my agent with Prefactor?+
Install the Prefactor CLI, add the TypeScript or Python SDK (or native LangChain, Claude, Vercel AI, OpenClaw, LiveKit integrations), and the SDK automatically records spans.
What is a span?+
A span is one step your agent takes—LLM call, tool invocation, message turn, or custom business step—and is the unit billed.
Do scoring or enforcement add extra cost?+
No. Scoring, risk checks, PII detection and interventions are included in the span price with no per-check fees.
Can I enforce actions at runtime?+
Yes, via the SDK or API you can automatically block, throttle, or pause a run for human approval before execution.
Is my data used to train models?+
No. Prefactor never uses agent interactions or customer data to train or fine-tune any model.
What security guarantees are provided?+
AES-256 at rest, TLS 1.3 in transit, scoped API keys, immutable audit logs, SOC 2 Type II in progress, and built-in GDPR/HIPAA controls.
Summarized by DevHunt from prefactor.tech · Sep 28, 2026. Details may change; check the official site.
