Research
Find research
Find research documents with optional filters.
GET /research-v1
| Parameter | Type | DataType | Description |
|---|---|---|---|
| search | query | string | Full-text search across title, abstract, and description |
| author_person_ids | query | string | Comma-separated author person IDs |
| provider_ids | query | string | Comma-separated provider IDs |
| regions | query | string | Comma-separated region types |
| countries | query | string | Comma-separated country codes |
| asset_classes | query | string | Comma-separated asset classes |
| asset_types | query | string | Comma-separated asset types |
| subjects | query | string | Comma-separated subjects |
| product_focuses | query | string | Comma-separated product focus values |
| discipline_types | query | string | Comma-separated discipline types |
| start_date | query | datetime | ISO format date string for range start (default: 1 year ago) |
| end_date | query | datetime | ISO format date string for range end (default: today) |
| search_after | query | string | Pagination cursor (comma-separated values from previous page) |
| page_size | query | integer | Results per page (default: 50, max: 100) |
NOTE
- Authentication requires a user-level API key with research entitlements.
- Uses cursor-based pagination via
search_after. Passnext_search_afterfrom the previous response to fetch the next page. - Results are sorted by
published_datetimedescending.
Request
https://premium.aiera.com/api/research-v1/?search=semiconductor&start_date=2025-01-01&end_date=2026-03-01&page_size=10
Response
{
"params": {
"search": "semiconductor",
"start_date": "2025-01-01T00:00:00",
"end_date": "2026-03-01T00:00:00",
"page_size": 10
},
"pagination": {
"total": 245,
"page_size": 10,
"has_next_page": true,
"next_search_after": "1709251200000,abc123"
},
"data": [
{
"document_id": "doc_001",
"research_id": "res_001",
"title": "Semiconductor Outlook 2025",
"subtitle": "Industry trends and forecasts",
"abstract": "An analysis of global semiconductor trends...",
"description": "Comprehensive research on semiconductor industry...",
"page": 1,
"page_count": 24,
"aiera_provider_id": "provider_001",
"authors": [
{
"name": "Jane Smith",
"author_id": "author_001"
}
],
"asset_classes": ["Equity"],
"asset_types": ["Common Stock"],
"subjects": ["Technology"],
"countries": [
{
"code": "US",
"name": "United States"
}
],
"regions": [
{
"region_type": "Americas"
}
],
"organization_name": "Example Research",
"organization_type": "Broker",
"product_category": "Research",
"product_focus": "Equity Research",
"published_datetime": "2025-06-15T10:30:00Z",
"language": "English"
}
]
}
Code Samples
Bash
curl --request GET \
--url 'https://premium.aiera.com/api/research-v1/?search=semiconductor&page_size=10' \
--header 'X-API-Key: xxx'
Python
import requests
requests.request("GET", "https://premium.aiera.com/api/research-v1/", params={"search": "semiconductor", "page_size": 10}, headers={"X-API-Key": "xxx"})