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

# Set API token
$API_TOKEN=<YOUR_API_TOKEN>

# Prepare Actor input
$cat > input.json << 'EOF'
<{
<  "schemaVersion": "1.1",
<  "rows": [
<    {
<      "signalId": "signal-001",
<      "normalizedScore": 96
<    },
<    {
<      "signalId": "signal-002",
<      "normalizedScore": 82
<    },
<    {
<      "signalId": "signal-003",
<      "normalizedScore": 61
<    },
<    {
<      "signalId": "signal-004",
<      "normalizedScore": 39
<    }
<  ],
<  "policies": [
<    {
<      "policyId": "balanced",
<      "reviewThreshold": 50,
<      "acceptThreshold": 80,
<      "thresholdOrder": "review_lt_accept"
<    },
<    {
<      "policyId": "strict",
<      "reviewThreshold": 70,
<      "acceptThreshold": 90,
<      "thresholdOrder": "review_lt_accept"
<    },
<    {
<      "policyId": "broad",
<      "reviewThreshold": 30,
<      "acceptThreshold": 70,
<      "thresholdOrder": "review_lt_accept"
<    }
<  ]
<}
<EOF

# Run the Actor using an HTTP API
# See the full API reference at https://docs.apify.com/api/v2
$curl "https://api.apify.com/v2/actors/zinin~us-brand-signal-policy-simulator/runs?token=$API_TOKEN" \
<  -X POST \
<  -d @input.json \
<  -H 'Content-Type: application/json'

Signal Policy Simulator — Threshold Comparison API

Below, you can find a list of relevant HTTP API endpoints for calling the Signal Threshold Policy Scenario Simulator Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under API & Integrations in Apify Console. For details, see the API reference.

Run Actor

POST
https://api.apify.com/v2/actors/zinin~us-brand-signal-policy-simulator/runs?token=<YOUR_API_TOKEN>

Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation.

Run Actor synchronously and get dataset items

POST
https://api.apify.com/v2/actors/zinin~us-brand-signal-policy-simulator/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>

Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation.

Get Actor

GET
https://api.apify.com/v2/actors/zinin~us-brand-signal-policy-simulator?token=<YOUR_API_TOKEN>

For more information, please refer to our Get Actor API documentation.

Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the Signal Threshold Policy Scenario Simulator API programmatically via the Apify API.

You can choose from:

Signal Threshold Policy Scenario Simulator API in Python

Signal Threshold Policy Scenario Simulator API in JavaScript

Signal Threshold Policy Scenario Simulator API through CLI

Signal Threshold Policy Scenario Simulator OpenAPI definition

You can start Signal Threshold Policy Scenario Simulator with the Apify API by sending an HTTP POST request to the Run Actorendpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The Signal Threshold Policy Scenario Simulator is identified within the API by its ID, which is the creator’s username and the name of the Actor.

When the Signal Threshold Policy Scenario Simulator run finishes you can list the data from its default dataset(storage) via the API or you can preview the data directly on Apify Console.

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