Pricing

from $8.50 / 1,000 delivered policy simulation reports

Signal Threshold Policy Scenario Simulator

Compare up to 20 explicit buyer-owned threshold policies over normalized signal scores. Get complete outcomes, pairwise changes, sensitive signals, stable digests, evidence gaps, human review action, and current-run billing truth without selecting a winner.

Pricing

from $8.50 / 1,000 delivered policy simulation reports

Rating

0.0

(0)

Developer

Tim Zinin

Actor stats

Bookmarked

Total users

Monthly active users

11 days ago

Last modified

Categories

MCP servers

Automation

Marketing

You can access the Signal Threshold Policy Scenario Simulator programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "schemaVersion": "1.1",
12    "rows": [
13        {
14            "signalId": "signal-001",
15            "normalizedScore": 96
16        },
17        {
18            "signalId": "signal-002",
19            "normalizedScore": 82
20        },
21        {
22            "signalId": "signal-003",
23            "normalizedScore": 61
24        },
25        {
26            "signalId": "signal-004",
27            "normalizedScore": 39
28        }
29    ],
30    "policies": [
31        {
32            "policyId": "balanced",
33            "reviewThreshold": 50,
34            "acceptThreshold": 80,
35            "thresholdOrder": "review_lt_accept"
36        },
37        {
38            "policyId": "strict",
39            "reviewThreshold": 70,
40            "acceptThreshold": 90,
41            "thresholdOrder": "review_lt_accept"
42        },
43        {
44            "policyId": "broad",
45            "reviewThreshold": 30,
46            "acceptThreshold": 70,
47            "thresholdOrder": "review_lt_accept"
48        }
49    ]
50};
51
52// Run the Actor and wait for it to finish
53const run = await client.actor("zinin/us-brand-signal-policy-simulator").call(input);
54
55// Fetch and print Actor results from the run's dataset (if any)
56console.log('Results from dataset');
57console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
58const { items } = await client.dataset(run.defaultDatasetId).listItems();
59items.forEach((item) => {
60    console.dir(item);
61});
62
63// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Signal Policy Simulator — Threshold Comparison API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Signal Threshold Policy Scenario Simulator API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Signal Threshold Policy Scenario Simulator API in Python

Signal Threshold Policy Scenario Simulator API through CLI

Signal Threshold Policy Scenario Simulator OpenAPI definition

Signal Threshold Policy Scenario Simulator API

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