Integrate TickerTrends signal workflows directly into your dashboards, models, alerts, and research systems without forcing your team into another tool.
Consumer demand, B2B demand, company mapping, competitor movement, and KPI context.
Deliver acceleration, persistence, divergence, and coverage updates into internal tools.
Build around your universe, taxonomy, watchlists, reporting cadence, and model inputs.
Start with covered signal payloads, then extend into custom company, product, competitor, and KPI models. The API is built for teams that need repeatable delivery into existing research and operating systems.
Use API payloads to keep covered companies, products, competitors, and tracked questions synchronized with your internal universe.
Pull persistence, acceleration, peer divergence, and KPI-relevant changes into alerts or model pipelines.
Support repeatable weekly, monthly, and event-driven workflows without manually rebuilding dashboards.
Weekly intent signal for a tracked product term.
Payloads can include raw values, signal scores, acceleration, persistence, peer comparison, and timestamps.
{
"status": "success",
"signal": {
"entity": "Hoka",
"type": "consumer_demand",
"period": "weekly",
"intent_volume": 142830,
"acceleration_90d": 0.284,
"persistence_score": 82,
"peer_divergence": 0.17,
"kpi_readthrough": ["traffic", "unit_demand"]
}
}The API service is designed for teams that already know where the answer needs to land: a model, a dashboard, a data warehouse, a weekly report, or an alert workflow.
Access structured signal payloads for available companies, products, competitors, and KPI workflows.
Support weekly monitoring, event-triggered alerts, and recurring exports for repeatable research processes.
Deliver clean JSON responses that can feed dashboards, notebooks, data warehouses, and model pipelines.
import requests
base_url = "https://api.tickertrends.io/signals"
entity = "HOKA"
api_key = "your_api_key"
url = f"{base_url}?entity={entity}&signal_type=consumer_demand"
headers = {"Authorization": f"Bearer {api_key}"}
response = requests.get(url, headers=headers)
if response.status_code == 200:
data = response.json()
print("Data received:", data)
else:
print(f"Failed to retrieve data. Status code: {response.status_code}")
print("Error message:", response.text)Tell us what universe, signal fields, cadence, and delivery format your team needs.
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