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ProofHound
What it is
ProofHound automates prompt optimization for LLM classification workflows. It analyzes error cases, iterates prompts, validates results, and supports deployment and rollback. Dataset uploads can use CSV, TSV, JSONL, JSON array, or ZIP files, with field mapping in the interface. Teams can optimize overall accuracy or category-specific goals such as recall for high-risk categories and precision for error-prone classes. Immutable prompt versions retain variable configurations, output rules, and differences. Experiment records include datasets, model settings, sample judgments, and overall and category metrics. Deployment controls cover gray traffic release, A/B testing, full rollout, and one-click rollback. Connections include the web UI, webhooks, API tokens, and MCP. Customers bring their own model provider, and ProofHound says it does not charge per model call. A free plan costs nothing and allows three projects, one member, three concurrent calls, 5GB retained storage, and 200MB uploads. Self-hosted open source is also free.
For and against
For
- Supports multiple dataset formats
- Category-specific optimization targets
- Immutable prompt version history
- Deployment rollback controls
- Self-hosted private data option
Against
- Free plan limits projects and members
- Free uploads capped at 200MB
- Pro checkout is not open yet
- Customers supply their own model provider
The verdict
ProofHound combines prompt experiments, traceable versioning, and controlled releases for classification systems. Its free and self-hosted options provide distinct starting paths, while hosted limits and model-provider responsibility require planning.
Who it suits
ProofHound suits operations, risk, analyst, and engineering teams managing critical classification workflows. It is relevant to risk control, financial judgment, content moderation, and customer-service intent recognition.
Plans and prices
Free
3 projects · 1 member · 3 concurrent LLM calls · 5GB retained project storage
Read 2 Oct 2026 · proofhound.org
Self-hosted open source
Full core capabilities · own infrastructure · custom model integration · private data storage
Read 2 Oct 2026 · proofhound.org
Pro
Unlimited projects and members under shared org quota · 50 concurrent LLM calls · 7-day workflow runtime · 50GB retained project storage
Read 2 Oct 2026 · proofhound.org
On the record
- Dataset inputs
- The product supports CSV, TSV, JSONL, JSON array, and ZIP dataset uploads, with flexible field mapping in the UI.proofhound.org · read 2 Oct 2026
- Experiment audit
- The platform records prompt versions, datasets, model configurations, sample judgments, and overall and category metrics for traceable and reproducible experiments.proofhound.org · read 2 Oct 2026
- Integrations
- The site lists Web UI, Webhook, API Token, and MCP as connection options for business systems and AI agents.proofhound.org · read 2 Oct 2026
- Intended users
- The product targets critical classification workflows including risk control, financial judgment, content moderation, and customer service intent recognition, including low-code work by operations, risk, and analyst teams.proofhound.org · read 2 Oct 2026
- Model usage
- Customers bring their own model provider, and ProofHound says it does not charge per model call.proofhound.org · read 2 Oct 2026
- Optimization targets
- Users can optimize overall accuracy or tune category-specific metrics such as recall for high-risk categories and precision for error-prone classes.proofhound.org · read 2 Oct 2026
- Production controls
- ProofHound supports gray traffic release, A/B testing, full rollout, and one-click rollback for prompt deployments.proofhound.org · read 2 Oct 2026
- Purpose
- ProofHound automates prompt optimization for LLM classification tasks by analyzing error cases, iterating prompts, validating results, and supporting deployment and rollback.proofhound.org · read 2 Oct 2026
- Roadmap
- Evaluation, comparison, and optimization for generative LLM tasks and ProofHound Cloud Managed Enterprise Edition are listed as upcoming.proofhound.org · read 2 Oct 2026
- Security and data control
- The self-hosted edition supports private deployment and private data storage on the user's own infrastructure; hosted data is retained until user deletion subject to plan quota.proofhound.org · read 2 Oct 2026
- Support
- The site lists GitHub, Discord, a Chinese-speaking QQ group, and email for community discussion, product updates, and business contact.proofhound.org · read 2 Oct 2026
- Version history
- ProofHound records immutable prompt versions with variable configurations, output rules, and version differences.proofhound.org · read 2 Oct 2026