read: simulation frame.
Reads the frame of one simulation to The answer gives the trajectory of every stock, the gain of every loop, the sensitivity to every intervention, and the set of options that compares strategies laid over the same template
Read a simulation’s frame. 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 SimulationFrameInput and returns a card whose body is MarketSimulationFrame.
Request body#
The request body is SimulationFrameInput.
| field | type | required | note |
|---|---|---|---|
simulation | id | yes |
Response#
The route returns a card whose body is MarketSimulationFrame. 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 SimulationFrameInput allows. The build validates it against the schema of SimulationFrameInput.
Example
curl -X POST https://api.scaleintelligence.co/v1/read/simulation_frame \
-H "Scale-Key: $SCALE_KEY" -H "Scale-Scope: tenant/<id>" \
-H "content-type: application/json" \
-d '{ "simulation": "…" }'
import { client } from "@scale/sdk";
const answer = await client.read.simulation_frame({
"simulation": "…"
});
// answer.body is a MarketSimulationFrame. answer.foot holds the basis, the scope and the time.
import requests
answer = requests.post("https://api.scaleintelligence.co/v1/read/simulation_frame",
headers={"Scale-Key": KEY, "Scale-Scope": "tenant/<id>"},
json={
"simulation": "…"
}).json()
let answer: Card = client.post("https://api.scaleintelligence.co/v1/read/simulation_frame")
.header("Scale-Key", key).header("Scale-Scope", "tenant/<id>")
.json(&SimulationFrameInput { /* the fields of the page */ }).send().await?.json().await?;
MCP tool#
The MCP tool si.read.simulation_frame 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/MarketSimulationFrame. The tool’s page describes it.
POST /v1/read/simulation_frame
Scale-Scope: …
Scale-As-True-On: …
Scale-As-Known-On: …
Scale-Key: …
content-type: application/json
{
"simulation": "…"
}Claims#
| claim | state | route or tool |
|---|---|---|
| The platform serves the route /v1/read/simulation_frame at contract 0476e35e6e275db5. | target | /v1/read/simulation_frame |