Fetch Hive
Build, Test, and Launch Gen AI in minutes
SubscriptionWorkflow automationTailwind CSSAI5,519 impressions#10 of its week
Fetch Hive is a workspace to build, test, and run LLM prompts, agents, and multi-step workflows with full execution tracing and cost tracking.
- for
- Engineers, product managers and non-technical teams building production AI.
- pricing
- freemium · free trial
Key features
- Visual workflow designer — Drag-and-drop nodes to create multi-step AI workflows with if-then logic and parallel execution.
- Hive Agents — Define specialist agents that break tasks into sub-steps, use tools, and record each step’s cost.
- Execution visibility — Inspect model calls, tool activity, inputs, outputs, timing, failures and per-step costs.
- Cost tracking — Granular tracking of token usage and monetary cost for each run, step and tool.
- Knowledge base integration — Connect documents and external knowledge bases so agents can retrieve context during runs.
- 50+ app integrations — Connect to apps like Airtable, Slack, Linear, Shopify and more; each call is logged in the run.
- Security & compliance — Row-level security, GDPR-compliant processing, SSO/SAML and optional SOC 2/HIPAA.
- SDKs & API — Node.js, Ruby, Python, PHP SDKs and REST API for programmatic access.
Use cases
- Generate a company research brief with sources and review cost per run.
- Automate market research and deal screening with repeatable AI workflows.
- Connect AI to internal tools (e.g., Airtable, Slack) to update records and send notifications.
- Run parallel AI tasks for large-scale data processing while monitoring spend.
- Create specialist agents that fetch data, analyze it, and produce formatted reports.
Fetch Hive pricing
- DeveloperFree1,000 tasks / month · 1 concurrent run · 5 workflow steps · 10 MB storage
- Growth$24 USD/month20,000 tasks / month · 3 concurrent runs · 10 workflow steps · 1 GB storage
- Pro$66 USD/month100,000 tasks / month · 5 concurrent runs · 20 workflow steps · 5 GB storage
Fetch Hive vs alternatives
| Best for | Transparent AI workflow execution | AI-aware workflow automation | No-code app integration | App-to-app automation | Unified model API |
|---|---|---|---|---|---|
| Pricing | Freemium | Subscription | Subscription | Subscription | One time fee |
| DevHunt upvotes | 1 | 0 | 0 | 0 | 52 |
| Launched | Oct 2024 | — | — | — | Sep 2026 |
- Fetch Hive vs n8n: n8n is a general workflow automation platform; Fetch Hive adds LLM-specific tracing, cost tracking and agent orchestration.
- Fetch Hive vs Make: Make provides visual automation across apps but lacks built-in LLM execution visibility and cost analytics.
- Fetch Hive vs Zapier: Zapier connects thousands of apps with simple triggers, while Fetch Hive focuses on multi-step LLM workflows with detailed observability.
- Fetch Hive vs luoluoAI: luoluoAI offers a single endpoint for model access; Fetch Hive adds workflow orchestration, agent management and cost tracing.
Fetch Hive FAQ
What can I see about a run?+
You can inspect model calls, tool activity, inputs, outputs, timing, status and recorded cost for each step.
What is Fetch Hive?+
Fetch Hive is a runtime for production LLM features that handles versioning, deployments, observability and gateway access to major models.
Does Fetch Hive measure all of our AI spending?+
It records token usage and monetary cost for every model and tool call, letting you trace spend back to individual runs.
Can I use my own LLM API keys?+
Eligible plans let you bring your own provider credentials; billing for those providers remains separate.
How does pricing work?+
Plans provide a task allowance; additional tasks can be purchased as top-ups ($8 per 1,000 tasks) and hosted LLM credits are pay-as-you-go.
Is my data secure?+
Fetch Hive offers row-level security, GDPR-compliant processing, encryption at rest and in transit, and optional SSO/SAML.
Summarized by DevHunt from fetchhive.com · Oct 4, 2026. Details may change; check the official site.