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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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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

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    "as_of": "2026-09-24T12:00:00Z",
10    "max_age_seconds": 86400,
11    "max_source_age_seconds": 2592000,
12    "records": [
13        {
14            "id": "healthy",
15            "observed_at": "2026-09-24T11:00:00Z",
16            "source_updated_at": "2026-09-23T12:00:00Z",
17            "source_id": "feed-a",
18            "evidence_id": "capture-1",
19        },
20        {
21            "id": "old-observation",
22            "observed_at": "2026-09-22T12:00:00Z",
23            "source_updated_at": "2026-09-21T12:00:00Z",
24            "source_id": "feed-a",
25            "evidence_id": "capture-2",
26        },
27        {
28            "id": "fresh-fetch-old-content",
29            "observed_at": "2026-09-24T11:00:00Z",
30            "source_updated_at": "2026-08-01T12:00:00Z",
31            "source_id": "feed-a",
32            "evidence_id": "capture-3",
33        },
34        {
35            "id": "unknown-source-age",
36            "observed_at": "2026-09-24T11:00:00Z",
37            "source_updated_at": None,
38            "source_id": "feed-a",
39            "evidence_id": "capture-4",
40        },
41    ],
42}
43
44# Run the Actor and wait for it to finish
45run = client.actor("saimislam/dataset-recency-evidence-gate").call(run_input=run_input)
46
47# Fetch and print Actor results from the run's dataset (if there are any)
48print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
49for item in client.dataset(run.default_dataset_id).iterate_items():
50    print(item)
51
52# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

dataset-recency-evidence-gate API in Python

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

dataset-recency-evidence-gate API through CLI

dataset-recency-evidence-gate OpenAPI definition

dataset-recency-evidence-gate API

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