Pricing

from $8.50 / 1,000 delivered confidence-gate reports

Confidence Threshold Filter for Brand Signals

Apply explicit buyer-owned accept and review thresholds to normalized signal scores. Get one deterministic report with accepted, review, and rejected queues, stable digests, evidence gaps, human review action, and current-run billing truth.

Pricing

from $8.50 / 1,000 delivered confidence-gate 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 Confidence Threshold Filter for Brand Signals 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    "thresholds": {
13        "acceptThreshold": 80,
14        "reviewThreshold": 50,
15        "thresholdOrder": "accept_gt_review"
16    },
17    "rows": [
18        {
19            "signalId": "signal-001",
20            "normalizedSignal": 96
21        },
22        {
23            "signalId": "signal-002",
24            "normalizedSignal": 82
25        },
26        {
27            "signalId": "signal-003",
28            "normalizedSignal": 61
29        },
30        {
31            "signalId": "signal-004",
32            "normalizedSignal": 39
33        }
34    ]
35};
36
37// Run the Actor and wait for it to finish
38const run = await client.actor("zinin/us-brand-signal-confidence-gate").call(input);
39
40// Fetch and print Actor results from the run's dataset (if any)
41console.log('Results from dataset');
42console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
43const { items } = await client.dataset(run.defaultDatasetId).listItems();
44items.forEach((item) => {
45    console.dir(item);
46});
47
48// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Signal Confidence Gate — Threshold Review Queues API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Confidence Threshold Filter for Brand Signals 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:

Confidence Threshold Filter for Brand Signals API in Python

Confidence Threshold Filter for Brand Signals API through CLI

Confidence Threshold Filter for Brand Signals OpenAPI definition

Confidence Threshold Filter for Brand Signals API

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