
Agenta
8.0#2 in ai prompt generatorsFrom $29 a monthFree planWebAPISelf-hosted
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| Fact | Agenta | Latitude |
|---|---|---|
| Integrations | The documentation describes more than 1,000 integrations through built-in connectors, MCP servers and Composio. | Documented integrations include OpenAI, Anthropic, Amazon Bedrock, Vercel AI SDK, LangChain, Claude Code, Slack, GitHub, Linear, webhooks, and OpenTelemetry. |
| Legal entity | The terms identify the company as Agentatech UG (haftungsbeschränkt), registered at Rudi-Dutschke-Str. 23, Berlin, Germany. | The terms identify the provider as LATITUDE DATA, S.L., incorporated in Spain with Tax ID B09930660 and a Barcelona registered address. |
| Observability | The pricing page lists traces for agent runs, execution logs and errors, version history, evaluations, and token usage with estimated model costs. | It records traces and spans for LLM calls, tool calls, retrieval, tokens, cost, latency, and errors, grouping related traces into sessions. |
| SDKs | The quick-start documentation provides a Python SDK installed with pip and JavaScript/TypeScript API examples. | The project provides TypeScript and Python telemetry SDKs and supports any OpenTelemetry-compatible runtime. |
| Self-hosting | Self-hosting uses Docker and Docker Compose, with an optional Kubernetes Helm deployment documented separately. | Self-hosting is supported from a Docker Compose single host to a Kubernetes cluster using Helm, with Railway deployment also documented. |
| System requirements | The local setup requires Docker and Docker Compose; insufficient Docker memory can cause the web container to restart. | The development setup requires Git, Docker and Docker Compose, Node.js, and pnpm; tmux and tmuxinator are optional recommendations. |
Agenta suits teams building and operating AI agents across connected work tools. It may also fit users who need self-hosting and can manage deployment, storage, upgrades, and backups themselves.
Latitude suits teams monitoring production AI agents and tracking recurring failures or regressions. Its plan descriptions position Starter for teams establishing AI infrastructure and Pro for collaborative AI product teams scaling up.