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Dataset Output Acceptance Gate

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Decide whether a dataset is safe to send downstream. Check schema, coverage, duplicates, currency, geography, canaries, and a saved baseline, then return accepted, partial, or rejected.

Pricing

from $50.00 / 1,000 run assesseds

Rating

0.0

(0)

Developer

Olalekan Johnson

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Monthly active users

12 days ago

Last modified

Categories

Developer tools

Automation

Security

You can access the Dataset Output Acceptance Gate 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
10# Run the Actor and wait for it to finish
11run = client.actor("plusonets/dataset-output-acceptance-gate").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Dataset Output Acceptance Gate API in Python

The Apify API client for Python is the official library that allows you to use Dataset Output Acceptance Gate API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Dataset Output Acceptance Gate API in JavaScript

Dataset Output Acceptance Gate API through CLI

Dataset Output Acceptance Gate OpenAPI definition

Dataset Output Acceptance Gate API

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