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POST
/
noCo
/
api
/
v2
/
workspaces
/
{workspaceId}
/
extraction
/
schema
/
generate
Generate Schema for Advanced Extraction
curl --request POST \
  --url https://be.datagol.ai/noCo/api/v2/workspaces/{workspaceId}/extraction/schema/generate \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "extract detailed transcript",
  "content": "[00:00:02] Sarah Miller: Yeah, great to connect.[00:00:04] Mark Thompson: Likewise. So just for context — Alex and I started working together recently. We’re very early, mostly speaking with potential users and understanding their pain points.[00:00:18] Sarah Miller: Quick intro from my side — I’ve spent the last 10 years in startups. Started in fintech, then built a SaaS company focused on workflow tools. Exited last year and now exploring the next venture.[00:00:32] Alex Rivera: I’m Alex, engineering background. Around 15 years building developer tools and infrastructure products. This is my second startup.[00:00:44] John Doe: Nice to meet you both. I run a small fund investing in early-stage AI and infrastructure companies. Also previously built and bootstrapped a company for nearly a decade, so I understand the founder journey well.[00:01:00] Sarah Miller: Amazing. So our thesis is simple — AI isn’t just speeding up software development, it’s changing how software should be built entirely. Instead of static apps, we’re exploring the idea of “software you can summon” — lightweight, adaptive tools that exist only when needed. [00:01:20] John Doe: Interesting. Who’s the target user?[00:01:23] Alex Rivera: Product managers, designers, and technical founders who are building tools themselves but feel underserved by existing infrastructure. We want to rethink the layer beneath the coding agents.[00:01:38] John Doe: Makes sense. The key will be articulating why you, why now, and what gives you the right to win.[00:01:46] Sarah Miller: Exactly. That’s what we’re refining — and conversations like this really help."
}
'

Headers

Path Parameters

workspaceId
string
required

Body

application/json
prompt
string
content
string<style>

Response

200

Generate Schema for Advanced Extraction