FeedHive vs Luma Agents (2026)

FeedHive

by FeedHive

Luma Agents

by Luma AI

Pros

• ✓Performance prediction estimates a post's results before it publishes, and recycle suggestions bring back strong past posts.
• ✓A documented first-party MCP server exposes the full public REST API as tools, so an AI client can draft, schedule and analyze posts.
• ✓Every tier is self-serve and publicly priced with a 7-day free trial, and AI features run on included credits with an optional own OpenAI key.

Limitations

• –Creator is limited to 4 social accounts, 30 scheduled posts and 14 days of future scheduling, and there is no permanent free plan.
• –AI credits and automation runs are capped on every tier, from 2,500 credits and 500 runs a month on Creator.
• –FeedHive publishes no security certification and no trust or security page, and the vendor notes that platform availability varies by feature and provider API rules.

Pros

• ✓Agents plan, generate and refine video, image and audio from one brief with shared context, orchestrating Ray3.2 and Uni-1.1 alongside third-party models such as Veo 3.1, Kling and Seedance.
• ✓Ray3.2 offers production controls including up to 16 keyframes per clip, native HDR and 16-bit EXR export for grading and VFX.
• ✓A developer API with Python, TypeScript and Go SDKs offers a no-commitment Build tier and a Scale tier with an SLA and a no-train guarantee.

Limitations

• –Credits drain quickly on premium video: a 5-second 1080p Ray3.2 clip costs 400 credits, so the 10,000 credits on the $30 Plus plan cover about 25 such clips.
• –On Plus, Pro and Ultra, Luma's terms allow it to train its models on customer inputs and outputs, and only Enterprise content and the API's Scale tier are excluded.
• –There is no native CMS, DAM or social publishing integration and no MCP server, so finished assets have to be exported by hand.