Generate Signal

Generate AI strategy signal

curl --request POST \
  --url https://api.rekko.ai/v1/signals \
  --header 'Content-Type: application/json' \
  --data '
{
  "force": false,
  "market_id": "KXFED-26MAR19",
  "market_query": "",
  "platform": "kalshi"
}
'

import requests

url = "https://api.rekko.ai/v1/signals"

payload = {
    "force": False,
    "market_id": "KXFED-26MAR19",
    "market_query": "",
    "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({force: false, market_id: 'KXFED-26MAR19', market_query: '', platform: 'kalshi'})
};

fetch('https://api.rekko.ai/v1/signals', 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/signals",
  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([
    'force' => false,
    'market_id' => 'KXFED-26MAR19',
    'market_query' => '',
    '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/signals"

	payload := strings.NewReader("{\n  \"force\": false,\n  \"market_id\": \"KXFED-26MAR19\",\n  \"market_query\": \"\",\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/signals")
  .header("Content-Type", "application/json")
  .body("{\n  \"force\": false,\n  \"market_id\": \"KXFED-26MAR19\",\n  \"market_query\": \"\",\n  \"platform\": \"kalshi\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.rekko.ai/v1/signals")

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  \"force\": false,\n  \"market_id\": \"KXFED-26MAR19\",\n  \"market_query\": \"\",\n  \"platform\": \"kalshi\"\n}"

response = http.request(request)
puts response.read_body

{
  "confidence": 0.82,
  "edge": 0.09,
  "expires_at": "2026-03-22T14:30:00Z",
  "generated_at": "2026-03-21T14:30:00Z",
  "market_id": "KXFED-26MAR19",
  "platform": "kalshi",
  "recommendation": "BUY_YES",
  "risk_rating": "low",
  "size_pct": 0.035,
  "target_price": 0.62,
  "time_horizon": "days",
  "title": "Will the Fed cut rates at the March 2026 meeting?"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}

POST

signals

Generate AI strategy signal

curl --request POST \
  --url https://api.rekko.ai/v1/signals \
  --header 'Content-Type: application/json' \
  --data '
{
  "force": false,
  "market_id": "KXFED-26MAR19",
  "market_query": "",
  "platform": "kalshi"
}
'

import requests

url = "https://api.rekko.ai/v1/signals"

payload = {
    "force": False,
    "market_id": "KXFED-26MAR19",
    "market_query": "",
    "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({force: false, market_id: 'KXFED-26MAR19', market_query: '', platform: 'kalshi'})
};

fetch('https://api.rekko.ai/v1/signals', 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/signals",
  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([
    'force' => false,
    'market_id' => 'KXFED-26MAR19',
    'market_query' => '',
    '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/signals"

	payload := strings.NewReader("{\n  \"force\": false,\n  \"market_id\": \"KXFED-26MAR19\",\n  \"market_query\": \"\",\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/signals")
  .header("Content-Type", "application/json")
  .body("{\n  \"force\": false,\n  \"market_id\": \"KXFED-26MAR19\",\n  \"market_query\": \"\",\n  \"platform\": \"kalshi\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.rekko.ai/v1/signals")

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  \"force\": false,\n  \"market_id\": \"KXFED-26MAR19\",\n  \"market_query\": \"\",\n  \"platform\": \"kalshi\"\n}"

response = http.request(request)
puts response.read_body

{
  "confidence": 0.82,
  "edge": 0.09,
  "expires_at": "2026-03-22T14:30:00Z",
  "generated_at": "2026-03-21T14:30:00Z",
  "market_id": "KXFED-26MAR19",
  "platform": "kalshi",
  "recommendation": "BUY_YES",
  "risk_rating": "low",
  "size_pct": 0.035,
  "target_price": 0.62,
  "time_horizon": "days",
  "title": "Will the Fed cut rates at the March 2026 meeting?"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}

Query Parameters

wait

boolean

default:false

Block until analysis completes (up to 5 min)

expand

string

default:""

Comma-separated expansions

Body

application/json

Request body for the signal endpoint.

platform

string

default:""

Filter by platform: 'kalshi', 'polymarket', or 'robinhood'

market_id

string

default:""

Platform-specific market identifier

market_query

string

default:""

Free-text market question (used if market_id not provided)

force

boolean

default:false

Force fresh analysis even if a cached result exists

Response

Successful Response

Actionable trading signal with position sizing.

The core product — everything needed to execute a trade.

platform

string

required

kalshi, polymarket, robinhood, or coinbase

market_id

string

required

Platform-specific market identifier

title

string

required

Market question

recommendation

enum<string>

required

Actionable recommendation

Available options:

BUY_YES,

BUY_NO,

NO_TRADE

target_price

number

required

Suggested entry price (0.0-1.0)

Required range: 0 <= x <= 1

edge

number

required

estimated_prob - market_price (positive = underpriced YES)

confidence

number

required

Confidence in the signal

Required range: 0 <= x <= 1

risk_rating

enum<string>

required

Overall risk assessment

Available options:

low,

medium,

high

size_pct

number

required

Kelly-derived position size as fraction of bankroll

Required range: 0 <= x <= 1

time_horizon

string

required

Expected resolution: 'hours', 'days', 'weeks'

expires_at

string<date-time>

required

Signal staleness window — do not trade after this time

hedge

string | null

Suggested hedge, e.g. 'Buy NO on KXFED-26MAR19 at 0.82'

causal

CausalDecomposition · object | null

Causal decomposition (?expand=causal)

Show child attributes

Example:

{
  "factors": [
    {
      "claim": "Inflation is within Fed's comfort zone",
      "confidence": 0.9,
      "direction": "supports_yes",
      "evidence": [
        "PCE Feb 2026: 2.1%",
        "Core CPI declining 3 months"
      ],
      "posterior": 0.82,
      "prior": 0.6,
      "weight": 0.35
    },
    {
      "claim": "Fed rhetoric is dovish",
      "confidence": 0.75,
      "direction": "supports_yes",
      "evidence": [
        "Waller speech March 12",
        "Bostic: 'open to adjustment'"
      ],
      "posterior": 0.68,
      "prior": 0.5,
      "weight": 0.3
    },
    {
      "claim": "Tariff uncertainty creates headwinds",
      "confidence": 0.6,
      "direction": "supports_no",
      "evidence": [
        "New tariffs announced March 5",
        "Trade deficit widening"
      ],
      "posterior": 0.45,
      "prior": 0.4,
      "weight": 0.2
    }
  ],
  "generated_at": "2026-03-21T12:00:00Z",
  "method": "weighted_bayesian",
  "overall_confidence": 0.82,
  "overall_probability": 0.71
}

freshness

enum<string> | null

Data freshness of the underlying analysis

Available options:

fresh,

stale,

expired

generated_at

string<date-time>

When this signal was produced

Overview

Events

Markets

Insights

Strategy

Deep Intelligence

Analytics

Streaming & Webhooks

Consensus

Customers

Query Parameters

Body

Response