curl --request GET \
--url https://api.scrunchai.com/v1/{brand_id}/signals \
--header 'Authorization: Bearer <token>'import requests
url = "https://api.scrunchai.com/v1/{brand_id}/signals"
headers = {"Authorization": "Bearer <token>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};
fetch('https://api.scrunchai.com/v1/{brand_id}/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.scrunchai.com/v1/{brand_id}/signals",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.scrunchai.com/v1/{brand_id}/signals"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("Authorization", "Bearer <token>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://api.scrunchai.com/v1/{brand_id}/signals")
.header("Authorization", "Bearer <token>")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.scrunchai.com/v1/{brand_id}/signals")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'
response = http.request(request)
puts response.read_body{
"total": 123,
"items": [
{
"id": 123,
"detected_for_date": "2023-12-25",
"fingerprint": "<string>",
"subject_kind": "brand",
"alert_type": "level_change",
"scope": "account",
"metric": "<string>",
"platform": "<string>",
"direction": "up",
"tier": "high",
"current_value": 123,
"baseline_value": 123,
"delta_absolute": 123,
"narrative_what": "<string>",
"slice": {
"platforms": [
"<string>"
],
"topic_labels": [
"<string>"
],
"geo_country": "<string>"
},
"created_at": "2023-11-07T05:31:56Z",
"score": 123,
"narrative": {
"what_happened": "<string>",
"why_it_matters": "<string>",
"what_to_do": "<string>"
},
"window_current_start": "2023-12-25",
"window_current_end": "2023-12-25",
"baseline_definition": "<string>",
"url_movers": [
{
"normalized_url": "<string>",
"owner": "brand",
"current_responses": 123,
"baseline_responses": 123,
"current_prompts": 123,
"baseline_prompts": 123,
"competitor_id": 123,
"competitor_name": "<string>",
"contribution": 123
}
]
}
],
"offset": 0,
"limit": 123,
"metadata": {
"aggregation_granularity": "daily",
"period_count": 123,
"start_date": "2023-11-07T05:31:56Z",
"end_date": "2023-11-07T05:31:56Z",
"top_domains": {
"domains": [
{
"domain": "<string>",
"domain_owner": "<string>",
"observation_count": 123
}
],
"grand_total": 123,
"owner_totals": {},
"owner_time_series": [
{
"time_bucket": "<string>",
"brand": 123,
"competitor": 123,
"other": 123
}
],
"segment_totals": [
{
"name": "<string>",
"observation_count": 123
}
]
}
}
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}List Signals
List detected signals for a brand — statistically-tested movements (level changes and trends) in AI-visibility metrics, produced by the nightly detection sweep.
Population
By default only user-facing signals are returned: the confidence tiers high, confident, worth_a_look, and provisional. Pass an explicit tier to select a single tier, including the noise-floor tiers. An ongoing signal is re-detected daily under the same fingerprint; a multi-day date range returns only the latest detection per signal identity, so you never see day-by-day duplicates of the same issue.
Tracking one issue over time
A signal’s fingerprint is its durable identity: it survives nightly re-detections and direction flips of the same underlying issue. To follow an issue after remediation, filter by fingerprint with a wide anchor_from — a later detection in the opposite direction on the same fingerprint is the recovery (or regression) of the original movement. Combine with direction to fetch each side separately.
Sorting
sort=score_desc (default) orders by engine priority, delta_desc by largest absolute change, detected_desc by newest detection date.
curl --request GET \
--url https://api.scrunchai.com/v1/{brand_id}/signals \
--header 'Authorization: Bearer <token>'import requests
url = "https://api.scrunchai.com/v1/{brand_id}/signals"
headers = {"Authorization": "Bearer <token>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};
fetch('https://api.scrunchai.com/v1/{brand_id}/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.scrunchai.com/v1/{brand_id}/signals",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.scrunchai.com/v1/{brand_id}/signals"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("Authorization", "Bearer <token>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://api.scrunchai.com/v1/{brand_id}/signals")
.header("Authorization", "Bearer <token>")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.scrunchai.com/v1/{brand_id}/signals")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'
response = http.request(request)
puts response.read_body{
"total": 123,
"items": [
{
"id": 123,
"detected_for_date": "2023-12-25",
"fingerprint": "<string>",
"subject_kind": "brand",
"alert_type": "level_change",
"scope": "account",
"metric": "<string>",
"platform": "<string>",
"direction": "up",
"tier": "high",
"current_value": 123,
"baseline_value": 123,
"delta_absolute": 123,
"narrative_what": "<string>",
"slice": {
"platforms": [
"<string>"
],
"topic_labels": [
"<string>"
],
"geo_country": "<string>"
},
"created_at": "2023-11-07T05:31:56Z",
"score": 123,
"narrative": {
"what_happened": "<string>",
"why_it_matters": "<string>",
"what_to_do": "<string>"
},
"window_current_start": "2023-12-25",
"window_current_end": "2023-12-25",
"baseline_definition": "<string>",
"url_movers": [
{
"normalized_url": "<string>",
"owner": "brand",
"current_responses": 123,
"baseline_responses": 123,
"current_prompts": 123,
"baseline_prompts": 123,
"competitor_id": 123,
"competitor_name": "<string>",
"contribution": 123
}
]
}
],
"offset": 0,
"limit": 123,
"metadata": {
"aggregation_granularity": "daily",
"period_count": 123,
"start_date": "2023-11-07T05:31:56Z",
"end_date": "2023-11-07T05:31:56Z",
"top_domains": {
"domains": [
{
"domain": "<string>",
"domain_owner": "<string>",
"observation_count": 123
}
],
"grand_total": 123,
"owner_totals": {},
"owner_time_series": [
{
"time_bucket": "<string>",
"brand": 123,
"competitor": 123,
"other": 123
}
],
"segment_totals": [
{
"name": "<string>",
"observation_count": 123
}
]
}
}
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>",
"input": "<unknown>",
"ctx": {}
}
]
}Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Path Parameters
Query Parameters
Slice granularity the signal was detected on: account (whole brand), account_platform (brand on one AI platform), topic, or topic_platform.
account, account_platform, topic, topic_platform AI platform the signal was detected on (e.g. OpenAI). Multi-platform signals carry the (multi) sentinel; the response slice.platforms lists the real platforms.
Metric the signal fired on. Known values: presence_rate, position_top_rate, cited_domain_rate (new metrics may be added).
Detection kind: level_change (step shift) or trend (sustained drift).
level_change, trend Direction of the movement: up, down, or none.
up, down, none Confidence tier. When omitted, only the default user-facing tiers are returned (high, confident, worth_a_look, provisional); pass an explicit tier to see a single tier, including the noise-floor tiers (low_confidence, underpowered, untested).
high, confident, worth_a_look, provisional, low_confidence, underpowered, untested Whose movement the signal describes: your brand or a competitor.
brand, competitor Earliest detected_for_date to include (inclusive, YYYY-MM-DD).
Latest detected_for_date to include (inclusive, YYYY-MM-DD).
Only signals with this stable identity (fingerprint). A fingerprint survives nightly re-detections and direction flips of the same underlying issue, so filtering on one — with a wide anchor_from — tracks how that issue evolved after remediation. Combine with direction to separate the original movement from its recovery.
1 - 128Case-insensitive substring matched against the URLs in the signal's url_movers evidence (per-URL citation movers, emitted for cited_domain_rate signals). Only signals with at least one matching mover URL are returned; signals without URL movers never match.
1 - 2048Sort order: score_desc (engine priority, default), delta_desc (largest absolute change first), or detected_desc (newest first).
score_desc, delta_desc, detected_desc Maximum number of signals to return.
1 <= x <= 200Number of signals to skip (pagination).
x >= 0