curl --request POST \
--url https://api.rekko.ai/v1/screen \
--header 'Content-Type: application/json' \
--data '
{
"limit": 20,
"min_score": 0.5,
"min_volume_24h": 50000,
"platform": "kalshi"
}
'import requests
url = "https://api.rekko.ai/v1/screen"
payload = {
"limit": 20,
"min_score": 0.5,
"min_volume_24h": 50000,
"platform": "kalshi"
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({limit: 20, min_score: 0.5, min_volume_24h: 50000, platform: 'kalshi'})
};
fetch('https://api.rekko.ai/v1/screen', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.rekko.ai/v1/screen",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'limit' => 20,
'min_score' => 0.5,
'min_volume_24h' => 50000,
'platform' => 'kalshi'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.rekko.ai/v1/screen"
payload := strings.NewReader("{\n \"limit\": 20,\n \"min_score\": 0.5,\n \"min_volume_24h\": 50000,\n \"platform\": \"kalshi\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.rekko.ai/v1/screen")
.header("Content-Type", "application/json")
.body("{\n \"limit\": 20,\n \"min_score\": 0.5,\n \"min_volume_24h\": 50000,\n \"platform\": \"kalshi\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.rekko.ai/v1/screen")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"limit\": 20,\n \"min_score\": 0.5,\n \"min_volume_24h\": 50000,\n \"platform\": \"kalshi\"\n}"
response = http.request(request)
puts response.read_body[
{
"action": "analyze",
"cached_confidence": 0.82,
"cached_edge": 0.09,
"cached_recommendation": "BUY_YES",
"category": "economics",
"market_id": "KXFED-26MAR19",
"platform": "kalshi",
"score": 1.45,
"title": "Will the Fed cut rates at the March 2026 meeting?",
"trend": "rising",
"volume_24h": 142350,
"volume_spike": true,
"yes_price": 0.62
}
]{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}Screen Markets
Batch screen markets with lightweight scoring (no LLM pipeline).
curl --request POST \
--url https://api.rekko.ai/v1/screen \
--header 'Content-Type: application/json' \
--data '
{
"limit": 20,
"min_score": 0.5,
"min_volume_24h": 50000,
"platform": "kalshi"
}
'import requests
url = "https://api.rekko.ai/v1/screen"
payload = {
"limit": 20,
"min_score": 0.5,
"min_volume_24h": 50000,
"platform": "kalshi"
}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({limit: 20, min_score: 0.5, min_volume_24h: 50000, platform: 'kalshi'})
};
fetch('https://api.rekko.ai/v1/screen', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.rekko.ai/v1/screen",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'limit' => 20,
'min_score' => 0.5,
'min_volume_24h' => 50000,
'platform' => 'kalshi'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.rekko.ai/v1/screen"
payload := strings.NewReader("{\n \"limit\": 20,\n \"min_score\": 0.5,\n \"min_volume_24h\": 50000,\n \"platform\": \"kalshi\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.rekko.ai/v1/screen")
.header("Content-Type", "application/json")
.body("{\n \"limit\": 20,\n \"min_score\": 0.5,\n \"min_volume_24h\": 50000,\n \"platform\": \"kalshi\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.rekko.ai/v1/screen")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"limit\": 20,\n \"min_score\": 0.5,\n \"min_volume_24h\": 50000,\n \"platform\": \"kalshi\"\n}"
response = http.request(request)
puts response.read_body[
{
"action": "analyze",
"cached_confidence": 0.82,
"cached_edge": 0.09,
"cached_recommendation": "BUY_YES",
"category": "economics",
"market_id": "KXFED-26MAR19",
"platform": "kalshi",
"score": 1.45,
"title": "Will the Fed cut rates at the March 2026 meeting?",
"trend": "rising",
"volume_24h": 142350,
"volume_spike": true,
"yes_price": 0.62
}
]{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}Body
Request body for the batch market screening endpoint.
Specific market IDs to screen (if empty, lists markets with filters)
Filter by platform: 'kalshi', 'polymarket', or 'robinhood'
Minimum 24h volume in USD
x >= 0Minimum quick_score filter
0 <= x <= 1Maximum results
1 <= x <= 200Response
Successful Response
kalshi, polymarket, robinhood, or coinbase
Platform-specific market identifier
Market question / title
Current YES price
0 <= x <= 124h trading volume in USD
x >= 0Composite score (higher = more interesting)
0 <= x <= 2Price trend from recent ticks
rising, falling, stable Whether volume is >2x the 7-day average
Suggested next step
analyze, watch, skip Category guess
Hours until market resolution
Current bid-ask spread in cents
Price change per hour over last hour
Edge from a prior analysis
Confidence from a prior analysis
Recommendation from a prior analysis