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POST
/
v1
/
businesses
/
bombora_intent
/
bulk_enrich
Bombora Intent
curl --request POST \
  --url https://api.explorium.ai/v1/businesses/bombora_intent/bulk_enrich \
  --header 'Content-Type: application/json' \
  --header 'api_key: <api-key>' \
  --data '{
  "request_context": {},
  "parameters": {
    "topics": [
      "<string>"
    ],
    "min_score": 123
  },
  "business_ids": [
    "<string>"
  ]
}'
{
  "response_context": {
    "correlation_id": "<string>",
    "request_status": "success",
    "time_took_in_seconds": 123
  },
  "data": [
    {
      "business_id": "<string>",
      "data": {
        "business_id": "<string>",
        "company_name": "<string>",
        "company_website": "<string>",
        "date_stamp": "<string>",
        "intent_topics": "<string>",
        "level_of_intent": "<string>",
        "topic_count": "<string>"
      }
    }
  ],
  "entity_id": "<string>",
  "total_results": 123
}

​
Description

The Business Intent Topics (Bombora) — Bulk enrichment enables you to retrieve intent topic insights for multiple businesses in a single request.
It reveals which topics each company is actively researching online, offering comprehensive visibility into collective business interests and buying intent across a portfolio of accounts. Powered by Bombora’s weekly intent dataset, the enrichment analyzes topic-level content consumption patterns to detect surging interest signals and engagement intensity at the company level. For each provided company (business_id), the enrichment returns a ranked list of intent topics with a composite score above 60, grouped by category and timestamped by week.
The results highlight which topics each business is researching most intensely and classify them by intent level (In-Depth, Active, Early). This enrichment is particularly useful for:
  • Account prioritization: Identify which companies across your target list are currently researching relevant topics.
  • Intent-driven segmentation: Group accounts by research activity and level of engagement.
  • ABM automation: Scale intent-based personalization to entire account lists.
  • Pipeline acceleration: Detect surging interest signals across multiple prospects simultaneously.
Refresh cadence: Weekly Raw intent data powered by: Image(1) Pn
  • Input:
    Provide a list of business_id values obtained from the Match Businesses API.
    Optional parameters:
    • topic_parameters — semicolon-separated list of "category: topic" filters (e.g., technology: ios;other: vendor profiling).
    • min_score — optional integer > 60. If omitted, the default threshold is 60.
  • Processing:
    The enrichment queries Bombora’s weekly dataset to identify surging topics for each company in the list.
    Only topics with composite_score >= threshold are returned, where threshold = min_score (if provided and >60) or 60 (default).
  • Output:
    Returns, for each input business_id, the company’s top intent topics, including the composite score, engagement level, and weekly timestamp.
{
"request_context": {},
"parameters": {
"topics": [
  "technology: ios","technology: acer","storage: disk storage"
],"min_score": 60
},
"business_id": "e4d5a55eefa7db177c6d96c0abb2a8b1"
}

{
"response_context": {
"correlation_id": "bd5c9535f90b43368925faeaf8ce9040",
"request_status": "success",
"time_took_in_seconds": 0.365
},
"data": {
"business_id": "e4d5a55eefa7db177c6d96c0abb2a8b1",
"company_name": "clearblade",
"company_website": "clearblade.com",
"date_stamp": "20251102",
"intent_topics": "[{\"topic\":\"storage: disk storage\",\"composite_score\":71}]",
"level_of_intent": "Early Research",
"topic_count": "1 / 310"
},
"entity_id": "e4d5a55eefa7db177c6d96c0abb2a8b1"
}
  • Always provide valid business_id inputs retrieved from the Match Businesses API.
  • Specify topic_parameters to focus enrichment results on relevant industries or technologies.
  • Use min_score only if you wish to raise the threshold above 60 — values ≤60 are not valid.
  • Check for null values — if Bombora has no data for a given domain, all topic-related fields will return null.
  • Combine intent data with firmographic and technographic enrichments for full go-to-market insights.
SignalAPI NameDescriptionData Type
level_of_intentLevel of IntentIndicates how actively a company engaged with selected topics during the past week: >25% = In-Depth Research, 5–25% = Active Research, <5% = Early Research. Returns null when no input topics are available.CATEGORY
topic_countTopic CountShows the number of topics with a composite score above 60, relative to all topics evaluated (e.g., 5/5). When no input topics are provided, all topics are returned.TEXT
intent_topicsIntent TopicsContains an array of objects summarizing the company’s active interest in specific Bombora topics over a given week. Each object includes the topic name, category, composite score, and date.TEXT
company_websiteCompany WebsiteThe company’s primary website or domain URL.URL
company_nameCompany NameThe official or recognized name of the company.TEXT
date_stampdateThe date of the most recent Bombora data file (weekly), in format YYYYMMDDTEXT
📌 _For additional enrichment options, explore related API endpoints below.

Authorizations

​
api_key
string
header
required

Body

application/json
​
business_ids
string[]
required
Required array length: 1 - 50 elements
​
request_context
object
​
parameters
object

Response

Successful Response

This is base response model for all responses in partner service.

​
response_context
object
required
​
total_results
integer
required
​
data
BusinessesBulkEnrichRow[BomboraIntentOutputSchema] · object[]
​
entity_id