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

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "schemaVersion": "1.1",
10    "thresholds": {
11        "acceptThreshold": 80,
12        "reviewThreshold": 50,
13        "thresholdOrder": "accept_gt_review",
14    },
15    "rows": [
16        {
17            "signalId": "signal-001",
18            "normalizedSignal": 96,
19        },
20        {
21            "signalId": "signal-002",
22            "normalizedSignal": 82,
23        },
24        {
25            "signalId": "signal-003",
26            "normalizedSignal": 61,
27        },
28        {
29            "signalId": "signal-004",
30            "normalizedSignal": 39,
31        },
32    ],
33}
34
35# Run the Actor and wait for it to finish
36run = client.actor("zinin/us-brand-signal-confidence-gate").call(run_input=run_input)
37
38# Fetch and print Actor results from the run's dataset (if there are any)
39print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
40for item in client.dataset(run.default_dataset_id).iterate_items():
41    print(item)
42
43# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Signal Confidence Gate — Threshold Review Queues API in Python

The Apify API client for Python is the official library that allows you to use Confidence Threshold Filter for Brand Signals API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Confidence Threshold Filter for Brand Signals API in JavaScript

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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