ask: judge fit.

Judges one entity against a buyer profile, and against a brand whose offerings' fit is in question to The answer gives the fit with each criterion and its highlights, the temperature with its reason, and the verdict.

Request body#

The request body is JudgeFitInput.

Response#

The route returns a card whose body is BuyerFitVerdict. Every card ends with a foot that states the basis of each number, the scope of the call, and the time when the facts were true.

Headers#

A caller needs the strategy rung and a token with the ask grant. The platform serves this route.

Example#

The example sends the smallest body that JudgeFitInput allows. The build validates it against the schema of JudgeFitInput.

curl -X POST https://api.scaleintelligence.co/v1/ask/judge_fit \
  -H "Scale-Key: $SCALE_KEY" -H "Scale-Scope: tenant/<id>" \
  -H "content-type: application/json" \
  -d '{ "kind_of_buyer": "…", "entity": "…" }'

import { client } from "@scale/sdk";
const answer = await client.ask.judge_fit({
    "kind_of_buyer": "…",
    "entity": "…"
  });
// answer.body is a BuyerFitVerdict. answer.foot holds the basis, the scope and the time.

import requests
answer = requests.post("https://api.scaleintelligence.co/v1/ask/judge_fit",
    headers={"Scale-Key": KEY, "Scale-Scope": "tenant/<id>"},
    json={
      "kind_of_buyer": "…",
      "entity": "…"
    }).json()

let answer: Card = client.post("https://api.scaleintelligence.co/v1/ask/judge_fit")
    .header("Scale-Key", key).header("Scale-Scope", "tenant/<id>")
    .json(&JudgeFitInput { /* the fields of the page */ }).send().await?.json().await?;

MCP tool#

The MCP tool si.ask.judge_fit takes the same input and returns the same card. The tool only reads data. An MCP host that renders cards draws this card from ui://scale-intelligence/cards/BuyerFitVerdict. The tool’s page describes it.

POST /v1/ask/judge_fit
Scale-Scope: …
Scale-As-True-On: …
Scale-As-Known-On: …
Scale-Key: …
content-type: application/json

{
  "kind_of_buyer": "…",
  "entity": "…"
}