Early Liquidity Event Prediction for Targeting & Research
Persona: Wealth & Asset Manager
Use Case:Prioritize companies predicted to experience a liquidity event
Primary API(s):Lookup a Funding Prediction
Goal: Prioritize companies predicted to experience a liquidity event
You’ve identified a list of target companies that fit your firm’s investment thesis or sector focus. Now you want to uncover which of those companies are most likely to raise capital or experience a liquidity event in the near term. By pulling their latest Funding Prediction and reviewing the probability score and timing window, your team can prioritize outreach and relationship-building before the event becomes public knowledge. Your team builds relationships earlier in the company lifecycle, positioning your firm as a trusted partner before liquidity events occur and gaining a competitive edge in sourcing and mandate capture.
Endpoint
https://api.crunchbase.com/v4/data/searches/funding_predictions
API Reference & Documentation
Query
Returns organizations with a funding prediction probability of at least 90%, along with their overall confidence score and how that likelihood is distributed across future time windows.
Key Entities:
| field_id | What this field does | operator_id (these are the compatible operators per field) |
|---|---|---|
| organization | Used to identify the company receiving funding | blank;contains;eq;includes;not_contains;not_eq;not_includes;starts |
| probability_score | The predicted probability that this Organization will raise a funding round | blank;includes;includes_all;not_includes;not_includes_all |
| probability_score_timeseries | The date the funding round was announced | Not compatible with operators |
Query
Returns organizations with a funding prediction probability of at least 90%, along with their overall confidence score and how that likelihood is distributed across future time windows.
curl --request POST \
--url https://api.crunchbase.com/v4/data/searches/funding_predictions \
--header 'X-cb-user-key: dac9eef1292e432a8a94XXXXXXXXXXXX' \
--header 'accept: application/json' \
--header 'content-type: application/json' \
--data '
{
"field_ids": ["organization", "probability_score", "probability_score_timeseries"],
"query": [
{
"field_id": "probability_score",
"operator_id": "gte",
"type": "predicate",
"values": [0.90]
}
]
}
Response
Shows an organization with a ~94% predicted likelihood of raising funding, with the model assigning nearly all of that likelihood to the next 0–5 months and virtually no probability to later time horizons.
{
"count": 319528,
"entities": [
{
"uuid": "00006401-4ee1-4de4-9a84-1f488bfec572",
"properties": {
"organization": {
"permalink": "navenio",
"image_id": "suyjvlfbt8pxyj5j80gk",
"uuid": "a038fe79-16dd-4c0e-aeba-f03296cd12ce",
"entity_def_id": "organization",
"value": "Navenio"
},
"identifier": {
"entity_def_id": "funding_prediction",
"image_id": "5da17abd92c24b0c92d38c82eb36dca1",
"uuid": "00006401-4ee1-4de4-9a84-1f488bfec572",
"value": "Funding Prediction 2025-09-27"
},
"probability_score": 0.9407,
"probability_score_timeseries": {
"months_24_plus": 6.348899118728951E-5,
"months_00_to_05": 0.9999365003751475,
"months_12_to_24": 5.721347253335286E-10,
"months_06_to_11": 1.006153043838481E-8
}
}
},
...
Outcome
In a single API call, we generated a dynamic universe of 300K+ companies with high funding probability scores, instantly surfacing near-term liquidity opportunities.
Lists like these can be fed directly into sourcing, coverage models, CRM workflows, or alerting systems, enabling your team to prioritize high-momentum companies, allocate resources more strategically, and engage decision-makers before capital events become widely known.
Updated 14 days ago
