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dataset-recency-evidence-gate

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Check saved dataset timestamps before RAG ingestion. Evaluate up to 1,000 metadata records; get batch pass/fail and per-record diagnostics. No crawling or truth verification. n8n tutorial: https://recency-n8n-guide.saimislam.chatgpt.site

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from $10.00 / 1,000 results

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Saim Islam

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a day ago

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You can access the dataset-recency-evidence-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

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    "as_of": "2026-09-24T12:00:00Z",
12    "max_age_seconds": 86400,
13    "max_source_age_seconds": 2592000,
14    "records": [
15        {
16            "id": "healthy",
17            "observed_at": "2026-09-24T11:00:00Z",
18            "source_updated_at": "2026-09-23T12:00:00Z",
19            "source_id": "feed-a",
20            "evidence_id": "capture-1"
21        },
22        {
23            "id": "old-observation",
24            "observed_at": "2026-09-22T12:00:00Z",
25            "source_updated_at": "2026-09-21T12:00:00Z",
26            "source_id": "feed-a",
27            "evidence_id": "capture-2"
28        },
29        {
30            "id": "fresh-fetch-old-content",
31            "observed_at": "2026-09-24T11:00:00Z",
32            "source_updated_at": "2026-08-01T12:00:00Z",
33            "source_id": "feed-a",
34            "evidence_id": "capture-3"
35        },
36        {
37            "id": "unknown-source-age",
38            "observed_at": "2026-09-24T11:00:00Z",
39            "source_updated_at": null,
40            "source_id": "feed-a",
41            "evidence_id": "capture-4"
42        }
43    ]
44};
45
46// Run the Actor and wait for it to finish
47const run = await client.actor("saimislam/dataset-recency-evidence-gate").call(input);
48
49// Fetch and print Actor results from the run's dataset (if any)
50console.log('Results from dataset');
51console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
52const { items } = await client.dataset(run.defaultDatasetId).listItems();
53items.forEach((item) => {
54    console.dir(item);
55});
56
57// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

dataset-recency-evidence-gate API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use dataset-recency-evidence-gate 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:

dataset-recency-evidence-gate API in Python

dataset-recency-evidence-gate API through CLI

dataset-recency-evidence-gate OpenAPI definition

dataset-recency-evidence-gate API

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