Nuklai’s vision for the first on-chain smart data ecosystem to power the wave of AI innovation is far-reaching – and so is the utility of the NAI Token.
Starting tomorrow, the community will have the chance to participate in the ecosystem's long-term growth by staking their $NAI tokens on our first NAI staking campaign.
This marks a significant step for both our project and its supporters, opening up avenues for involvement in the ecosystem's future.
In this blog post, you’ll learn everything you need to know about the first staking campaign on Nuklai, powered by Nexera Finance’s DeFi Terminal.
NAI Staking: Early Ecosystem Growth, Mainnet Transition, and Nodes
The next months will be crucial for the development of Nuklai’s technology, community, and ecosystem. It’s important for us to acknowledge early supporters' contributions to the project's success.
Prior to the mainnet launch of Nuklai, stakers will be rewarded for their early support with the option of staking their NAI into a mid-length staking campaign.
Post-mainnet release, the staked tokens and earned rewards will be converted to native NAI on the Nuklai mainnet and automatically delegated towards the initial validators nodes of the network, in order to contribute to the ongoing decentralization of our network and data ecosystem.
Here’s what you need to know about staking NAI:
- Address: https://nuklai.defiterm.io/staking/active
- Start Date: 25 April 2024
- End Date: 6 months after mainnet release of Nuklai's blockchain network (mainnet is expected in Q4 2024, but not guaranteed)
- APR: 25%
- Maximum Stake: 15M $NAI
- Maximum Stake Per Person: 1M $NAI
- Network: Avalanche (but eventually claimable on Nuklai)
If you have any questions about this staking campaign, please feel free to contact us on our Telegram.
About Nuklai
Nuklai is a collaborative data marketplace and infrastructure provider for data ecosystems. It combines the power of community-driven data analysis with the datasets of successful modern businesses.
The marketplace allows grassroots data enthusiasts and institutional partners to find new ways to use untapped data and generate new revenue streams.
Our vision is to unify the fragmented data landscape. We fulfill this mandate by providing a user-friendly, streamlined, and inclusive approach to sharing, requesting, and evaluating data for key insights.
We also provide better processes and new business opportunities, empowering next-generation large language models and AI.
Follow Nuklai on X and join Telegram to stay updated on the latest Nuklai news and updates.
const ApiUrl = "https://api.nukl.ai/api/public/v1/datasets/:datasetId/queries";
const ApiKey = "[API_KEY]";
const DatasetId = "[DATASET_ID]";
const headers = {
"Content-Type": "application/json",
'authentication': ApiKey
}
ApiUrl = "https://api.nukl.ai/api/public/v1/datasets/:datasetId/queries"
ApiKey = "[API_KEY]"
DatasetId = "[DATASET_ID]"
headers = {
"Content-Type": "application/json",
"authentication": ApiKey
}
$ApiUrl = "https://api.nukl.ai/api/public/v1/datasets/:datasetId/queries";
$ApiKey = "[API_KEY]";
$DatasetId = "[DATASET_ID]";
$headers = [
"Content-Type: application/json",
"authentication: $ApiKey"
];
// @dataset represents your dataset rows as a table
const body = {
sqlQuery: "select * from @dataset limit 5",
}
@dataset represents your dataset rows as a table
body = {
"sqlQuery": "select * from @dataset limit 5"
}
// @dataset represents your dataset rows as a table
$body = [
"sqlQuery" => "select * from @dataset limit 5"
];
const ApiUrl = "https://api.nukl.ai/api/public/v1/datasets/:datasetId/queries";
const ApiKey = "[API_KEY]";
const DatasetId = "[DATASET_ID]";
const headers = {
"Content-Type": "application/json",
'authentication': ApiKey
}
// @dataset represents your dataset rows as a table
const body = {
sqlQuery: "select * from @dataset limit 5",
}
// make request
fetch(ApiUrl.replace(':datasetId', DatasetId), {
method: "POST",
headers: headers,
body: JSON.stringify(body), // convert to json object
})
.then((response) => response.json())
.then((data) => {
console.log(data);
})
.catch((error) => {
console.error(error);
});
import requests
import json
ApiUrl = "https://api.nukl.ai/api/public/v1/datasets/:datasetId/queries"
ApiKey = "[API_KEY]"
DatasetId = "[DATASET_ID]"
headers = {
"Content-Type": "application/json",
"authentication": ApiKey
}
# @dataset represents your dataset rows as a table
body = {
"sqlQuery": "select * from @dataset limit 5"
}
# make request
url = ApiUrl.replace(':datasetId', DatasetId)
try:
response = requests.post(url, headers=headers, data=json.dumps(body))
data = response.json()
print(data)
except requests.RequestException as error:
print(f"Error: {error}")
$ApiUrl = "https://api.nukl.ai/api/public/v1/datasets/:datasetId/queries";
$ApiKey = "[API_KEY]";
$DatasetId = "[DATASET_ID]";
$headers = [
"Content-Type: application/json",
"authentication: $ApiKey"
];
// @dataset represents your dataset rows as a table
$body = [
"sqlQuery" => "select * from @dataset limit 5"
];
// make request
$ch = curl_init(str_replace(':datasetId', $DatasetId, $ApiUrl));
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($body)); // convert to json object
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, TRUE);
$result = curl_exec($ch);
curl_close($ch);
echo $result;
curl -X POST 'https://api.nukl.ai/api/public/v1/datasets/[DATASET_ID]/queries' \
-H 'Content-Type: application/json' \
-H 'authentication: [API_KEY]' \
-d '{"sqlQuery":"select * from @dataset limit 5"}'
const ApiUrl = "https://api.nukl.ai/api/public/v1/datasets/:datasetId/queries/:jobId";
const ApiKey = "[API_KEY]";
const DatasetId = "[DATASET_ID]";
const JobId = "[JOB_ID]"; // retrieved from /queries request
const headers = {
"Content-Type": "application/json",
'authentication': ApiKey
}
// make request
fetch(ApiUrl.replace(':datasetId', DatasetId).replace(':jobId', JobId), {
method: "GET",
headers: headers
})
.then((response) => response.json())
.then((data) => {
console.log(data);
})
.catch((error) => {
console.error(error);
});
import requests
ApiUrl = "https://api.nukl.ai/api/public/v1/datasets/:datasetId/queries/:jobId"
ApiKey = "[API_KEY]"
DatasetId = "[DATASET_ID]"
JobId = "[JOB_ID]" # retrieved from /queries request
headers = {
"Content-Type": "application/json",
"authentication": ApiKey
}
# make request
url = ApiUrl.replace(':datasetId', DatasetId).replace(':jobId', JobId)
try:
response = requests.get(url, headers=headers)
data = response.json()
print(data)
except requests.RequestException as error:
print(f"Error: {error}")
$ApiUrl = "https://api.nukl.ai/api/public/v1/datasets/:datasetId/queries/:jobId";
$ApiKey = "[API_KEY]";
$DatasetId = "[DATASET_ID]";
$JobId = "[JOB_ID]"; // retrieved from /queries request
$headers = [
"Content-Type: application/json",
"authentication: $ApiKey"
];
// @dataset represents your dataset rows as a table
$body = [
"sqlQuery" => "select * from @dataset limit 5"
];
// make request
$ch = curl_init(str_replace(array(':datasetId', ':jobId'), array($DatasetId, $JobId), $ApiUrl));
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, TRUE);
$result = curl_exec($ch);
curl_close($ch);
echo $result;
curl 'https://api.nukl.ai/api/public/v1/datasets/[DATASET_ID]/queries/[JOB_ID]' \
-H 'Content-Type: application/json' \
-H 'authentication: [API_KEY]'