read: audience map.
A brand, two facets or a facet and a community, the window to the shared subjects, the share, the lift, the negative control that bounds it, and the size as bounds
Read the audience map. The call needs the brand rung under a token with the read grant, and it is served by either, by the size bound.
The route takes AudienceMapInput and returns a card whose body is AudienceMapCell.
Request body#
The request body is AudienceMapInput.
| field | type | required | note |
|---|---|---|---|
brand | id | yes | |
first | id | yes | |
second | id | yes | |
window | Window | yes | |
adult | bool | no | when true, the rooms marked adult count in the crossing; left out by default |
Response#
The route returns a card whose body is AudienceMapCell. 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#
| header | required | meaning |
|---|---|---|
Scale-Scope | yes | the scope the call runs in: tenant/ |
Scale-As-True-On | no | the date the facts must have been true on; defaults to now |
Scale-As-Known-On | no | the date the facts must have been known on; defaults to now |
Scale-Key | no | for a change, the key made from the input; a repeat under the same key returns the unit held and writes nothing |
A caller needs the brand rung and a token with the read grant. The platform or the desktop app serves this route.
Example#
The example sends the smallest body that AudienceMapInput allows. The build validates it against the schema of AudienceMapInput.
Example
curl -X POST https://api.scaleintelligence.co/v1/read/audience_map \
-H "Scale-Key: $SCALE_KEY" -H "Scale-Scope: tenant/<id>" \
-H "content-type: application/json" \
-d '{ "brand": "…", "first": "…", "second": "…", "window": { "from": "…", "to": "…" } }'
import { client } from "@scale/sdk";
const answer = await client.read.audience_map({
"brand": "…",
"first": "…",
"second": "…",
"window": {
"from": "…",
"to": "…"
}
});
// answer.body is a AudienceMapCell. answer.foot holds the basis, the scope and the time.
import requests
answer = requests.post("https://api.scaleintelligence.co/v1/read/audience_map",
headers={"Scale-Key": KEY, "Scale-Scope": "tenant/<id>"},
json={
"brand": "…",
"first": "…",
"second": "…",
"window": {
"from": "…",
"to": "…"
}
}).json()
let answer: Card = client.post("https://api.scaleintelligence.co/v1/read/audience_map")
.header("Scale-Key", key).header("Scale-Scope", "tenant/<id>")
.json(&AudienceMapInput { /* the fields of the page */ }).send().await?.json().await?;
MCP tool#
The MCP tool si.read.audience_map 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/AudienceMapCell. The tool’s page describes it.
POST /v1/read/audience_map
Scale-Scope: …
Scale-As-True-On: …
Scale-As-Known-On: …
Scale-Key: …
content-type: application/json
{
"brand": "…",
"first": "…",
"second": "…",
"window": {
"from": "…",
"to": "…"
}
}Claims#
| claim | state | route or tool |
|---|---|---|
| The platform serves the route /v1/read/audience_map at contract 0476e35e6e275db5. | target | /v1/read/audience_map |