About the API:
Google Trends allows you to know what is the most trending topic on Google Search at the moment. Be able to recognize trends not only live but also through time and regions.
Just pass the search term that you want to compare, and extract data to know what is the most popular topic through time and also, by region.
Content Inspiration: By studying the related queries and focusing on those that are breakouts, you can be inspired to create new content that speaks to what people are clamoring for at the moment.
Comparing Topics: Being able to compare topics quickly can have many useful applications. When it comes to picking a title for your article, for example, you can see if people are more like to search for, “tips”, “tricks”, or, “hacks” and make your decision based on which term has the highest traffic.
Compelling Visuals: Google Trends isn’t complicated by an abundance of resources. It shows you how well your queries are performing over time or for different reasons, allowing for easy-to-interpret visualizations. These can be very useful for presentations because they’re so easy to read.
Besides the number of API calls per month:
Be able to retrieve the interest over time for multiple topics of your choice.
This endpoint can retrieve information in these timeframes:
The parameter is used to define a date. Available options:now 1-H - Past hournow 4-H - Past 4 hoursnow 1-d - Past daynow 7-d - Past 7 daystoday 1-m - Past 30 daystoday 3-m - Past 90 daystoday 12-m - Past 12 monthstoday 5-y - Past 5 yearsall - 2004 - present
Get Interest Over Time - Endpoint Features
| Object | Description |
|---|---|
q |
[Required] The search query. |
date |
[Required] |
Continue with Google
Continue with Github
{
"search_metadata": {
"id": "6316077636e6a9123a894ab6",
"status": "Success",
"json_endpoint": "https://serpapi.com/searches/619c812facdbd0a5/6316077636e6a9123a894ab6.json",
"created_at": "2022-09-05 14:28:06 UTC",
"processed_at": "2022-09-05 14:28:06 UTC",
"google_trends_url": "https://trends.google.com/trends/api/explore?tz=420&req=%7B%22comparisonItem%22%3A%5B%7B%22keyword%22%3A%22Joe+Biden%22%2C%22geo%22%3A%22%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22category%22%3A0%2C%22property%22%3A%22%22%7D",
"raw_html_file": "https://serpapi.com/searches/619c812facdbd0a5/6316077636e6a9123a894ab6.html",
"prettify_html_file": "https://serpapi.com/searches/619c812facdbd0a5/6316077636e6a9123a894ab6.prettify",
"total_time_taken": 13.69
},
"search_parameters": {
"engine": "google_trends",
"q": "Joe Biden",
"date": "today 12-m",
"tz": "420",
"data_type": "TIMESERIES"
},
"interest_over_time": {
"timeline_data": [
{
"date": "Sep 5 – 11, 2021",
"values": [
{
"query": "Joe Biden",
"value": "74",
"extracted_value": 74
}
]
},
{
"date": "Sep 12 – 18, 2021",
"values": [
{
"query": "Joe Biden",
"value": "67",
"extracted_value": 67
}
]
},
{
"date": "Sep 19 – 25, 2021",
"values": [
{
"query": "Joe Biden",
"value": "57",
"extracted_value": 57
}
]
},
{
"date": "Sep 26 – Oct 2, 2021",
"values": [
{
"query": "Joe Biden",
"value": "46",
"extracted_value": 46
}
]
},
{
"date": "Oct 3 – 9, 2021",
"values": [
{
"query": "Joe Biden",
"value": "59",
"extracted_value": 59
}
]
},
{
"date": "Oct 10 – 16, 2021",
"values": [
{
"query": "Joe Biden",
"value": "52",
"extracted_value": 52
}
]
},
{
"date": "Oct 17 – 23, 2021",
"values": [
{
"query": "Joe Biden",
"value": "52",
"extracted_value": 52
}
]
},
{
"date": "Oct 24 – 30, 2021",
"values": [
{
"query": "Joe Biden",
"value": "69",
"extracted_value": 69
}
]
},
{
"date": "Oct 31 – Nov 6, 2021",
"values": [
{
"query": "Joe Biden",
"value": "98",
"extracted_value": 98
}
]
},
{
"date": "Nov 7 – 13, 2021",
"values": [
{
"query": "Joe Biden",
"value": "77",
"extracted_value": 77
}
]
},
{
"date": "Nov 14 – 20, 2021",
"values": [
{
"query": "Joe Biden",
"value": "72",
"extracted_value": 72
}
]
},
{
"date": "Nov 21 – 27, 2021",
"values": [
{
"query": "Joe Biden",
"value": "58",
"extracted_value": 58
}
]
},
{
"date": "Nov 28 – Dec 4, 2021",
"values": [
{
"query": "Joe Biden",
"value": "42",
"extracted_value": 42
}
]
},
{
"date": "Dec 5 – 11, 2021",
"values": [
{
"query": "Joe Biden",
"value": "40",
"extracted_value": 40
}
]
},
{
"date": "Dec 12 – 18, 2021",
"values": [
{
"query": "Joe Biden",
"value": "37",
"extracted_value": 37
}
]
},
{
"date": "Dec 19 – 25, 2021",
"values": [
{
"query": "Joe Biden",
"value": "55",
"extracted_value": 55
}
]
},
{
"date": "Dec 26, 2021 – Jan 1, 2022",
"values": [
{
"query": "Joe Biden",
"value": "50",
"extracted_value": 50
}
]
},
{
"date": "Jan 2 – 8, 2022",
"values": [
{
"query": "Joe Biden",
"value": "39",
"extracted_value": 39
}
]
},
{
"date": "Jan 9 – 15, 2022",
"values": [
{
"query": "Joe Biden",
"value": "35",
"extracted_value": 35
}
]
},
{
"date": "Jan 16 – 22, 2022",
"values": [
{
"query": "Joe Biden",
"value": "48",
"extracted_value": 48
}
]
},
{
"date": "Jan 23 – 29, 2022",
"values": [
{
"query": "Joe Biden",
"value": "57",
"extracted_value": 57
}
]
},
{
"date": "Jan 30 – Feb 5, 2022",
"values": [
{
"query": "Joe Biden",
"value": "35",
"extracted_value": 35
}
]
},
{
"date": "Feb 6 – 12, 2022",
"values": [
{
"query": "Joe Biden",
"value": "59",
"extracted_value": 59
}
]
},
{
"date": "Feb 13 – 19, 2022",
"values": [
{
"query": "Joe Biden",
"value": "39",
"extracted_value": 39
}
]
},
{
"date": "Feb 20 – 26, 2022",
"values": [
{
"query": "Joe Biden",
"value": "96",
"extracted_value": 96
}
]
},
{
"date": "Feb 27 – Mar 5, 2022",
"values": [
{
"query": "Joe Biden",
"value": "100",
"extracted_value": 100
}
]
},
{
"date": "Mar 6 – 12, 2022",
"values": [
{
"query": "Joe Biden",
"value": "52",
"extracted_value": 52
}
]
},
{
"date": "Mar 13 – 19, 2022",
"values": [
{
"query": "Joe Biden",
"value": "47",
"extracted_value": 47
}
]
},
{
"date": "Mar 20 – 26, 2022",
"values": [
{
"query": "Joe Biden",
"value": "79",
"extracted_value": 79
}
]
},
{
"date": "Mar 27 – Apr 2, 2022",
"values": [
{
"query": "Joe Biden",
"value": "59",
"extracted_value": 59
}
]
},
{
"date": "Apr 3 – 9, 2022",
"values": [
{
"query": "Joe Biden",
"value": "44",
"extracted_value": 44
}
]
},
{
"date": "Apr 10 – 16, 2022",
"values": [
{
"query": "Joe Biden",
"value": "52",
"extracted_value": 52
}
]
},
{
"date": "Apr 17 – 23, 2022",
"values": [
{
"query": "Joe Biden",
"value": "46",
"extracted_value": 46
}
]
},
{
"date": "Apr 24 – 30, 2022",
"values": [
{
"query": "Joe Biden",
"value": "41",
"extracted_value": 41
}
]
},
{
"date": "May 1 – 7, 2022",
"values": [
{
"query": "Joe Biden",
"value": "44",
"extracted_value": 44
}
]
},
{
"date": "May 8 – 14, 2022",
"values": [
{
"query": "Joe Biden",
"value": "40",
"extracted_value": 40
}
]
},
{
"date": "May 15 – 21, 2022",
"values": [
{
"query": "Joe Biden",
"value": "37",
"extracted_value": 37
}
]
},
{
"date": "May 22 – 28, 2022",
"values": [
{
"query": "Joe Biden",
"value": "43",
"extracted_value": 43
}
]
},
{
"date": "May 29 – Jun 4, 2022",
"values": [
{
"query": "Joe Biden",
"value": "41",
"extracted_value": 41
}
]
},
{
"date": "Jun 5 – 11, 2022",
"values": [
{
"query": "Joe Biden",
"value": "41",
"extracted_value": 41
}
]
},
{
"date": "Jun 12 – 18, 2022",
"values": [
{
"query": "Joe Biden",
"value": "56",
"extracted_value": 56
}
]
},
{
"date": "Jun 19 – 25, 2022",
"values": [
{
"query": "Joe Biden",
"value": "77",
"extracted_value": 77
}
]
},
{
"date": "Jun 26 – Jul 2, 2022",
"values": [
{
"query": "Joe Biden",
"value": "47",
"extracted_value": 47
}
]
},
{
"date": "Jul 3 – 9, 2022",
"values": [
{
"query": "Joe Biden",
"value": "50",
"extracted_value": 50
...
curl --location --request GET 'https://zylalabs.com/api/281/google+trends+api/246/get+interest+over+time?q=NBA&date=today 3-m' --header 'Authorization: Bearer YOUR_API_KEY'
Get the regions that are most interested in the search term of your choice.
Get Interest By Region - Endpoint Features
| Object | Description |
|---|---|
q |
[Required] The search term of your choice. |
{
"search_metadata": {
"id": "63161b6dce87f807821c84d1",
"status": "Success",
"json_endpoint": "https://serpapi.com/searches/413b5e7150212e56/63161b6dce87f807821c84d1.json",
"created_at": "2022-09-05 15:53:17 UTC",
"processed_at": "2022-09-05 15:53:17 UTC",
"google_trends_url": "https://trends.google.com/trends/api/explore?tz=420&req=%7B%22comparisonItem%22%3A%5B%7B%22keyword%22%3A%22bitcoin%22%2C%22geo%22%3A%22%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22category%22%3A0%2C%22property%22%3A%22%22%7D",
"raw_html_file": "https://serpapi.com/searches/413b5e7150212e56/63161b6dce87f807821c84d1.html",
"prettify_html_file": "https://serpapi.com/searches/413b5e7150212e56/63161b6dce87f807821c84d1.prettify",
"total_time_taken": 1.16
},
"search_parameters": {
"engine": "google_trends",
"q": "bitcoin",
"date": "today 12-m",
"tz": "420",
"data_type": "GEO_MAP_0"
},
"search_information": {
"organic_results_state": "Fully empty"
},
"error": "Google Trends hasn't returned any results for this query."
}
curl --location --request GET 'https://zylalabs.com/api/281/google+trends+api/247/get+interest+by+region?q=us open' --header 'Authorization: Bearer YOUR_API_KEY'
With the chance to query various search terms (max 5) at once, you will be receiving a breakdown by region and the trend of every search term.
Get Trends Compared Breakdown By Region - Endpoint Features
| Object | Description |
|---|---|
q |
[Required] The search terms that you want to query. Max 5. |
{
"search_metadata": {
"id": "63161f0e24e88ea74e71911c",
"status": "Success",
"json_endpoint": "https://serpapi.com/searches/4fbb72c26d637b92/63161f0e24e88ea74e71911c.json",
"created_at": "2022-09-05 16:08:46 UTC",
"processed_at": "2022-09-05 16:08:46 UTC",
"google_trends_url": "https://trends.google.com/trends/api/explore?tz=420&req=%7B%22comparisonItem%22%3A%5B%7B%22keyword%22%3A%22NBA%22%2C%22geo%22%3A%22%22%2C%22time%22%3A%22today+12-m%22%7D%2C%7B%22keyword%22%3A%22Wimbledon%22%2C%22geo%22%3A%22%22%2C%22time%22%3A%22today+12-m%22%7D%2C%7B%22keyword%22%3A%22Hamilton%22%2C%22geo%22%3A%22%22%2C%22time%22%3A%22today+12-m%22%7D%5D%2C%22category%22%3A0%2C%22property%22%3A%22%22%7D",
"raw_html_file": "https://serpapi.com/searches/4fbb72c26d637b92/63161f0e24e88ea74e71911c.html",
"prettify_html_file": "https://serpapi.com/searches/4fbb72c26d637b92/63161f0e24e88ea74e71911c.prettify",
"total_time_taken": 1.03
},
"search_parameters": {
"engine": "google_trends",
"q": "NBA, Wimbledon, Hamilton",
"date": "today 12-m",
"tz": "420",
"data_type": "GEO_MAP"
},
"compared_breakdown_by_region": [
{
"geo": "PH",
"location": "Philippines",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "99%",
"extracted_value": 99
},
{
"query": "Wimbledon",
"value": "<1%",
"extracted_value": 0
},
{
"query": "Hamilton",
"value": "1%",
"extracted_value": 1
}
]
},
{
"geo": "NZ",
"location": "New Zealand",
"max_value_index": 2,
"values": [
{
"query": "NBA",
"value": "29%",
"extracted_value": 29
},
{
"query": "Wimbledon",
"value": "1%",
"extracted_value": 1
},
{
"query": "Hamilton",
"value": "70%",
"extracted_value": 70
}
]
},
{
"geo": "TW",
"location": "Taiwan",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "99%",
"extracted_value": 99
},
{
"query": "Wimbledon",
"value": "<1%",
"extracted_value": 0
},
{
"query": "Hamilton",
"value": "1%",
"extracted_value": 1
}
]
},
{
"geo": "CA",
"location": "Canada",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "57%",
"extracted_value": 57
},
{
"query": "Wimbledon",
"value": "3%",
"extracted_value": 3
},
{
"query": "Hamilton",
"value": "40%",
"extracted_value": 40
}
]
},
{
"geo": "US",
"location": "United States",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "85%",
"extracted_value": 85
},
{
"query": "Wimbledon",
"value": "2%",
"extracted_value": 2
},
{
"query": "Hamilton",
"value": "13%",
"extracted_value": 13
}
]
},
{
"geo": "AU",
"location": "Australia",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "70%",
"extracted_value": 70
},
{
"query": "Wimbledon",
"value": "11%",
"extracted_value": 11
},
{
"query": "Hamilton",
"value": "19%",
"extracted_value": 19
}
]
},
{
"geo": "HK",
"location": "Hong Kong",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "94%",
"extracted_value": 94
},
{
"query": "Wimbledon",
"value": "3%",
"extracted_value": 3
},
{
"query": "Hamilton",
"value": "3%",
"extracted_value": 3
}
]
},
{
"geo": "SG",
"location": "Singapore",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "85%",
"extracted_value": 85
},
{
"query": "Wimbledon",
"value": "7%",
"extracted_value": 7
},
{
"query": "Hamilton",
"value": "8%",
"extracted_value": 8
}
]
},
{
"geo": "GR",
"location": "Greece",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "85%",
"extracted_value": 85
},
{
"query": "Wimbledon",
"value": "7%",
"extracted_value": 7
},
{
"query": "Hamilton",
"value": "8%",
"extracted_value": 8
}
]
},
{
"geo": "ES",
"location": "Spain",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "65%",
"extracted_value": 65
},
{
"query": "Wimbledon",
"value": "29%",
"extracted_value": 29
},
{
"query": "Hamilton",
"value": "6%",
"extracted_value": 6
}
]
},
{
"geo": "AE",
"location": "United Arab Emirates",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "82%",
"extracted_value": 82
},
{
"query": "Wimbledon",
"value": "8%",
"extracted_value": 8
},
{
"query": "Hamilton",
"value": "10%",
"extracted_value": 10
}
]
},
{
"geo": "CL",
"location": "Chile",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "81%",
"extracted_value": 81
},
{
"query": "Wimbledon",
"value": "13%",
"extracted_value": 13
},
{
"query": "Hamilton",
"value": "6%",
"extracted_value": 6
}
]
},
{
"geo": "BR",
"location": "Brazil",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "86%",
"extracted_value": 86
},
{
"query": "Wimbledon",
"value": "5%",
"extracted_value": 5
},
{
"query": "Hamilton",
"value": "9%",
"extracted_value": 9
}
]
},
{
"geo": "MY",
"location": "Malaysia",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "86%",
"extracted_value": 86
},
{
"query": "Wimbledon",
"value": "7%",
"extracted_value": 7
},
{
"query": "Hamilton",
"value": "7%",
"extracted_value": 7
}
]
},
{
"geo": "IE",
"location": "Ireland",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "54%",
"extracted_value": 54
},
{
"query": "Wimbledon",
"value": "24%",
"extracted_value": 24
},
{
"query": "Hamilton",
"value": "22%",
"extracted_value": 22
}
]
},
{
"geo": "GB",
"location": "United Kingdom",
"max_value_index": 1,
"values": [
{
"query": "NBA",
"value": "27%",
"extracted_value": 27
},
{
"query": "Wimbledon",
"value": "42%",
"extracted_value": 42
},
{
"query": "Hamilton",
"value": "31%",
"extracted_value": 31
}
]
},
{
"geo": "MX",
"location": "Mexico",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "82%",
"extracted_value": 82
},
{
"query": "Wimbledon",
"value": "5%",
"extracted_value": 5
},
{
"query": "Hamilton",
"value": "13%",
"extracted_value": 13
}
]
},
{
"geo": "CO",
"location": "Colombia",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "86%",
"extracted_value": 86
},
{
"query": "Wimbledon",
"value": "8%",
"extracted_value": 8
},
{
"query": "Hamilton",
"value": "6%",
"extracted_value": 6
}
]
},
{
"geo": "IT",
"location": "Italy",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "61%",
"extracted_value": 61
},
{
"query": "Wimbledon",
"value": "27%",
"extracted_value": 27
},
{
"query": "Hamilton",
"value": "12%",
"extracted_value": 12
}
]
},
{
"geo": "AR",
"location": "Argentina",
"max_value_index": 0,
"values": [
{
"query": "NBA",
"value": "79%",
"extracted_value": 79
},
{
"query": "Wimbledon",
"value": "13%",
"extracted_value": 13
},
{
"query": "Hamilton",
"value": "8%",
"extracted_value": 8
}
]
},
{
"geo": "PT",
"location": "Portug...
curl --location --request GET 'https://zylalabs.com/api/281/google+trends+api/248/get+trends+compared+breakdown+by+region?q=NBA, Wimbledon, Hamilton' --header 'Authorization: Bearer YOUR_API_KEY'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
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Additionally, if you already have an active subscription in any of these currencies (USD, EUR, CAD, AUD, GBP), that currency will remain for subsequent subscriptions. You can change the currency at any time as long as you don't have any active subscriptions.
The local currency shown on the pricing page is based on the country of your IP address and is provided for reference only. The actual prices are in USD (United States Dollar). When you make a payment, the charge will appear on your card statement in USD, even if you see the equivalent amount in your local currency on our website. This means you cannot pay directly with your local currency.
Occasionally, a bank may decline the charge due to its fraud protection settings. We suggest reaching out to your bank initially to check if they are blocking our charges. Also, you can access the Billing Portal and change the card associated to make the payment. If these does not work and you need further assistance, please contact our team at [email protected]
Prices are determined by a recurring monthly or yearly subscription, depending on the chosen plan.
API calls are deducted from your plan based on successful requests. Each plan comes with a specific number of calls that you can make per month. Only successful calls, indicated by a Status 200 response, will be counted against your total. This ensures that failed or incomplete requests do not impact your monthly quota.
Zyla API Hub works on a recurring monthly subscription system. Your billing cycle will start the day you purchase one of the paid plans, and it will renew the same day of the next month. So be aware to cancel your subscription beforehand if you want to avoid future charges.
To upgrade your current subscription plan, simply go to the pricing page of the API and select the plan you want to upgrade to. The upgrade will be instant, allowing you to immediately enjoy the features of the new plan. Please note that any remaining calls from your previous plan will not be carried over to the new plan, so be aware of this when upgrading. You will be charged the full amount of the new plan.
To check how many API calls you have left for the current month, look at the ‘X-Zyla-API-Calls-Monthly-Remaining’ header. For example, if your plan allows 1000 requests per month and you've used 100, this header will show 900.
To see the maximum number of API requests your plan allows, check the ‘X-Zyla-RateLimit-Limit’ header. For instance, if your plan includes 1000 requests per month, this header will display 1000.
The ‘X-Zyla-RateLimit-Reset’ header shows the number of seconds until your rate limit resets. This tells you when your request count will start fresh. For example, if it displays 3600, it means 3600 seconds are left until the limit resets.
Yes, you can cancel your plan anytime by going to your account and selecting the cancellation option on the Billing page. Please note that upgrades, downgrades, and cancellations take effect immediately. Additionally, upon cancellation, you will no longer have access to the service, even if you have remaining calls left in your quota.
You can contact us through our chat channel to receive immediate assistance. We are always online from 8 am to 5 pm (EST). If you reach us after that time, we will get back to you as soon as possible. Additionally, you can contact us via email at [email protected]
To let you experience our APIs without any commitment, we offer a 7-day free trial that allows you to make API calls at no cost during this period. Please note that you can only use this trial once, so make sure to use it with the API that interests you the most. Most of our APIs provide a free trial, but some may not support it.
After 7 days, you will be charged the full amount for the plan you were subscribed to during the trial. Therefore, it’s important to cancel before the trial period ends. Refund requests for forgetting to cancel on time are not accepted.
When you subscribe to an API trial, you can make only 25% of the calls allowed by that plan. For example, if the API plan offers 1000 calls, you can make only 250 during the trial. To access the full number of calls offered by the plan, you will need to subscribe to the full plan.
Service Level:
100%
Response Time:
1,302ms
Service Level:
100%
Response Time:
3,313ms
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100%
Response Time:
480ms
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100%
Response Time:
1,580ms
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100%
Response Time:
980ms
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100%
Response Time:
1,333ms
Service Level:
100%
Response Time:
1,768ms
Service Level:
100%
Response Time:
460ms
Service Level:
100%
Response Time:
1,343ms
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100%
Response Time:
199ms
Service Level:
100%
Response Time:
698ms
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100%
Response Time:
712ms
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100%
Response Time:
738ms
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100%
Response Time:
8,049ms
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100%
Response Time:
2,560ms
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100%
Response Time:
1,054ms
Service Level:
100%
Response Time:
1,175ms
