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POST
/
api
/
score
/
product
F3 AI Product Assessment scoring
curl --request POST \
  --url https://app.dacard.ai/api/score/product \
  --header 'Content-Type: application/json' \
  --cookie __session= \
  --data '
{
  "url": "https://linear.app",
  "context": "Linear is a project management tool for software teams"
}
'
{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "url": "<string>",
  "totalScore": 123,
  "stageName": "<string>",
  "dimensions": [
    {
      "dimensionId": "<string>",
      "dimensionName": "<string>",
      "score": 2,
      "evidence": "<string>",
      "confidence": "high",
      "reasoning": "<string>"
    }
  ],
  "createdAt": "2023-11-07T05:31:56Z",
  "companyName": "<string>",
  "strengths": [
    "<string>"
  ],
  "gaps": [
    "<string>"
  ],
  "productId": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}

Authorizations

__session
string
cookie
required

Clerk session cookie. Authentication is handled by Clerk. Sign in at https://app.dacard.ai/sign-in to obtain a session.

Body

application/json
url
string<uri>
required

The product URL to assess

Example:

"https://linear.app"

context
string

Additional context to improve assessment accuracy

Example:

"Linear is a project management tool for software teams"

Response

F3 assessment result

id
string<uuid>
required

Unique F3 result ID

url
string<uri>
required

URL that was assessed

totalScore
integer
required

Sum of all F3 dimension scores

stageName
string
required

Overall AI-nativeness tier

dimensions
object[]
required

All F3 dimension scores

createdAt
string<date-time>
required
companyName
string

Extracted or user-provided company name

strengths
string[]

Top dimension IDs

gaps
string[]

Bottom dimension IDs

productId
string<uuid> | null