We're launching DataGrout Data tomorrow. What raw JSON challenges are slowing down your agents?

Hey DataGrout community! 👋

Launching something tomorrow and wanted to share here first.

After shipping Frame for columnar data ops, the next biggest pain point we kept seeing was raw JSON handling. Agents calling Salesforce, HubSpot, or any REST API get back messy nested payloads and reshaping them without burning tokens or spinning up Python has always been a gap.

We built DataGrout Data to fix this, filter, sort, aggregate, merge, flatten, fanout as pure MCP tools. Zero credit cost, pure deterministic, cache ref support for large payloads.

Before we go live on Product Hunt tomorrow, we'd love to hear: What raw JSON challenges are you running into in your agent workflows today?

Drop your thoughts below, we're reading every response and it shapes what we build next! 🚀