Agenta vs PromptEval
Agenta
agenta.aiPromptEval
prompt-eval.comSide by side
| Figure | Agenta | PromptEval |
|---|---|---|
| Price from | $29/mo | $9/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 8 | 4 |
| Spec score · AI Prompt Generators | 9.3 (#1) | 8.0 (#11) |
| Support | The Hobby and Pro plans list community support through GitHub Issues, while Business lists priority support and a private Slack Connect channel. | The Team plan includes priority support with a stated 24-hour response target. |
Plans
Agenta
- HobbyFree
- Open sourceFree
- Pro$29 a month
- Business$299 a month
- EnterprisePriced on request
- Enterprise (Cloud)Priced on request
- Enterprise (self-hosted)Priced on request
- Enterprise self-hostedPriced on request
In their own words
Agenta
Agenta is an open-source workspace for teams building and automating AI coworkers. Teams can interact with agents in Slack or Telegram, start from templates for engineering, customer support, sales, company knowledge, and operations, and run them on a schedule or in response to events. Its observability tools include traces, logs, errors, version history, evaluations, and token usage with estimated model costs. Agenta connects with services such as Slack, Notion, GitHub, HubSpot, Google Drive, Linear, Zendesk, and Discord, and supports more than 1,000 integrations. Listed model providers include OpenAI, Anthropic, Gemini, Mistral, and others. Cloud Hobby is free and allows two team members and 5,000 runs monthly; runs stop at that limit. Pro costs $29 a month and includes 10,000 runs monthly, with extra runs priced at $5 per additional 10,000. Model-provider charges are separate. Self-hosting is available, with users operating the application, storage, runner, upgrades, and backups in their own infrastructure. A mobile app supports agent conversations, approvals, and workspace management.
PromptEval
PromptEval is a web and API SaaS platform for evaluating and optimizing large-language-model prompts. It assigns a reproducible score from 0 to 100, with diagnostics covering clarity, specificity, structure and robustness, then identifies issues, warnings, strengths and targeted fixes. A token optimizer compresses prompts while preserving intent and reports the reduction percentage. Its versioned library keeps prompt history, score changes and diffs. The A/B Playground compares two prompts across as many as seven criteria using a user-provided API key. An official GitHub Action can fail pull requests after score drops, contradictions or production regressions. Pro and Team users can serve prompts by slug through an API endpoint, with changes taking effect in about 60 seconds. Plans include a free tier, Basic at $9 a month, Pro at $19 a month, and custom-priced Team.