Look up funding predictions
Find a company’s latest funding prediction and inspect its timing.
Before you begin
This example was verified with Predictions and Insights access. Your API key must include the fields and collections requested below. Check your API package if an endpoint or field is unavailable. Complete your first API request to set CRUNCHBASE_API_KEY in bash or zsh. Commands below include response headers; look for HTTP 200, then read the JSON body.
Persona: Go-to-market teams
Use case: Look up funding predictions
Primary APIs: Funding Prediction Search and Funding Prediction Lookup
Step 1:
Search for a Funding Prediction
In this step, we’ll request the latest Funding Prediction for a specific company to uncover its likelihood of future funding.
Endpoint
https://api.crunchbase.com/v4/data/searches/funding_predictions
API Reference & Documentation
Query
For the first part of this exercise, we’re going to search for the latest Funding Prediction for the company Writer via (UUID: a3674669-6d9e-4f70-895f-3c8c99bcb7ad):
Key Fields for this Query
| field_id | What this field does | operator_id (these are the compatible operators per field) |
|---|---|---|
| organization | Filter by the organization’s UUID. For this example, we’re using the company Writer, with the UUID: a3674669-6d9e-4f70-895f-3c8c99bcb7ad) | blank;contains;eq;includes;not_contains;not_eq;not_includes;starts |
Now that we have the field_id defined, here is the sample query we can run that will search for the available Funding Predictions for the company Writer:
curl --include --request POST \
--url 'https://api.crunchbase.com/v4/data/searches/funding_predictions' \
--header "X-cb-user-key: $CRUNCHBASE_API_KEY" \
--header 'Accept: application/json' \
--header 'Content-Type: application/json' \
--data '{
"field_ids": [
"organization",
"generated_on"
],
"query": [
{
"field_id": "organization",
"operator_id": "includes",
"type": "predicate",
"values": [
"a3674669-6d9e-4f70-895f-3c8c99bcb7ad"
]
}
],
"limit": 3
}'Read generated_on to identify the latest prediction. This request does not specify a sort order. Paginate through all matching records, preserve the organization filter, and select the record with the greatest generated_on value. Use that record’s UUID in Step 2; do not assume the first returned record is the latest.
Response
Response examples below are historical, shortened JSON samples; search samples show one entity and card samples show at most one record per card. Other fields or records may be omitted. Counts and values change; count is the total matching records, while entities contains the returned page.
The historical response reports 10 matching funding prediction records, with the date of each prediction and their unique identifier (UUID). This UUID can be used to get more information about that specific Funding Prediction.
The response below is condensed to show 1 of the 10 funding predictions, and does not contain the entire response from the API
{
"count": 10,
"entities": [
{
"uuid": "2cc587c2-124d-48fd-840e-6841a7f58f04",
"properties": {
"identifier": {
"image_id": "fd41cd7328c54618aeda4f9e3f0d45ef",
"uuid": "2cc587c2-124d-48fd-840e-6841a7f58f04",
"entity_def_id": "funding_prediction",
"value": "Funding Prediction 2026-05-23"
},
"organization": {
"permalink": "writer",
"image_id": "jqgtyt2qclr1ikl5mpjv",
"uuid": "a3674669-6d9e-4f70-895f-3c8c99bcb7ad",
"entity_def_id": "organization",
"value": "Writer"
},
"generated_on": "2026-05-23"
}
}
]
}Outcome
By using the Search FundingPrediction Entities endpoint, we’re able to query Crunchbase for a list of all the funding predictions for specific companies within our ICP. From here, we can take the latest one and retrieve all the information about it (more on that below).
Step 2:
Retrieve the data for the latest Funding Prediction for Writer
Goal: Now that we have a list of the Funding Predictions for the company Writer, we’re now going to query Crunchbase for the latest one, and retrieve all the information we have for that prediction - including projected timing and probability score — to determine the likelihood and expected timeline of the funding event. These fields can be integrated into scoring models, CRM updates, or notification systems to trigger downstream workflows based on funding likelihood.
Endpoint
https://api.crunchbase.com/v4/data/entities/funding_predictions/\{entity_id}
API Reference & Documentation
Query
For the second part of this exercise, we’re going to retrieve the data behind the latest funding prediction that we found in the previous query (above) using its unique identifier (UUID). Replace {prediction_uuid} below with the UUID of the latest record selected in Step 1:
Key Fields for this Query
| field_id | What this field means |
|---|---|
| created_at | The date when this prediction was created and added to our graph |
| probability_score | The predicted probability that this Organization will receive funding |
| probability_score_timeseries | Provides a timeframe for when we expect this prediction to come true |
| probability_tier | The predicted probability of this organization raising funds is divided into distinct tiers that quantify the likelihood of this event. |
Now that we have the field_ids defined, here is the sample query we can run that will retrieve the underlying data for the Funding Prediction and the fields in the table above
curl --include --request GET \
--url 'https://api.crunchbase.com/v4/data/entities/funding_predictions/{prediction_uuid}?field_ids=created_at,probability_score,probability_score_timeseries,organization,probability_tier&card_ids=' \
--header "X-cb-user-key: $CRUNCHBASE_API_KEY" \
--header 'Accept: application/json'Response
The following illustrative response shows the shape of a funding prediction lookup. Your response depends on the prediction UUID selected in Step 1.
{
"properties": {
"organization": {
"uuid": "a3674669-6d9e-4f70-895f-3c8c99bcb7ad",
"value": "Writer",
"image_id": "jqgtyt2qclr1ikl5mpjv",
"permalink": "writer",
"entity_def_id": "organization"
},
"identifier": {
"uuid": "81bb80ba-9bf9-4fb7-8d43-0800a09657c4",
"value": "Funding Prediction 2025-10-25",
"image_id": "35429ad1989b4996a19407e018d6460a",
"entity_def_id": "funding_prediction"
},
"probability_score": 0.9385,
"created_at": "2025-10-25T16:58:36Z",
"probability_tier": "p200_positive_low",
"probability_score_timeseries": {
"months_24_plus": 7.017093258889777e-06,
"months_00_to_05": 0.9999927168195302,
"months_06_to_11": 1.136322591185592e-07,
"months_12_to_24": 1.52454951763353e-07
}
}
}Outcome
From this response, we’re able to conclude:
In this illustrative response, probability_score is 0.9385 (about 94%). Separately, probability_score_timeseries.months_00_to_05 is approximately 0.999993. The overall score and timing values are distinct outputs; 94% is not the value reported for the 0–5-month interval.
Having this level of detail on what’s coming around the corner allows your teams to know which companies to target before your competitors do
Check your result
Check the organization UUID and prediction generation date before using a score. An empty result is not a zero probability. Interpret scores and timing using the prediction definitions.
Search requests here use limit: 3 for a small first page. For a complete result set, follow search pagination while preserving the filters and ordering. For request failures, use the shared request and retry guidance.
Updated about 10 hours ago

