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

​
Description

The Business Intent Topics (Bombora) enrichment reveals which topics companies are actively researching online, providing deeper visibility into their current business interests and buying intent. Powered by Bombora’s weekly intent dataset, it analyzes topic-level content consumption patterns to detect surging interest and engagement signals at the company level. For each input 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 a company is researching most intensely and classify them by intent level (e.g., In-Depth, Active, Early). This enrichment is particularly useful for:
  • Sales prioritization: Identify accounts actively researching your solution space.
  • Intent-based marketing: Personalize outreach based on buyer interest.
  • ABM activation: Power account-based strategies with real-time buying signals.
  • Pipeline acceleration: Engage prospects showing increased purchase readiness.
Refresh cadence: Weekly Raw intent data powered by: Image(1) Pn
  • Input:
    Provide a single business_id 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 the specified company.
    Only topics with composite_score >= threshold are returned, where threshold = min_score (if provided and >60) or 60 (default).
  • Output:
    Returns the company’s top intent topics, each with a composite score, engagement level, and weekly timestamp.
{
"request_context": {},
"parameters": {
"topics": [
  "technology: ios","technology: acer","storage: disk storage"
],"min_score": 30
},
"business_id": "e4d5a55eefa7db177c6d96c0abb2a8b1"
}

```json
{
  {
"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.TEXT
company_nameCompany NameThe official or recognized name of the company.TEXT
📌 _For additional enrichment options, explore related API endpoints below.

Authorizations

​
api_key
string
header
required

Body

application/json
​
business_id
string
required
​
request_context
object
​
parameters
object

Response

Successful Response

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

​
response_context
object
required
​
data
​
entity_id