Forecast Investment Upside & Risk
with Predictions and Insights
Persona: Venture Capital and M&A Teams
Use Case: Anticipate upside opportunities and downside risks before they materialize.
Primary API(s): Search (Organizations) & Lookup an Organization
Goal: Anticipate upside opportunities and downside risks before they materialize
Use this Recipe when you want to proactively forecast which companies are most likely to generate outsized returns using Crunchbase Predictions & Insights API. This workflow supports forward-looking decision-making by combining machine learning–driven predictions with real-time company signals. Improve portfolio construction by prioritizing companies with strong predicted upside and flagging potential risk signals early, enabling smarter entry timing and more disciplined capital deployment.
Step 1
Filter Companies to Relevant ICP
In this step, we’ll target our relevant ICP using filters such as industry, geography, revenue range, financial benchmarks and operating status.
Endpoint
https://api.crunchbase.com/v4/data/searches/organizations
API Reference & Documentation
Key Fields for this Query
| field_id | What this field does | operator_id (these are the compatible operators per field) |
|---|---|---|
| last_funding_at | Identifies the date of most recent Funding Round | between;blank;eq;gte;lte |
| last_funding_type | Identifies the last funding round type (e.g. Seed, Series A, Private Equity) | blank;eq;includes;not_eq;not_includes |
| categories | Identifies the types of organization (e.g. SaaS, Android, Cloud Computing, Medical Device) | blank;includes;includes_all;not_includes;not_includes_all |
| growth_insight_direction | Filters by the direction of the company's growth trajectory | blank;eq;includes;not_eq;not_includes |
Sample Query - Pull companies matching core ICP firmographics that are growing
This call is narrowing down companies to Seed and Series A as those that were funded in 2026. The field_ids ask to return information around categories (i.e., industries), the date the company was last funded at and the type, current valuation and the Growth Insight that indicates whether the company is growing or not.
POST /v4/data/searches/organizations HTTP/1.1
Accept: application/json
Content-Type: application/json
X-Cb-User-Key: ********
Host: api.crunchbase.com
Content-Length: 118
{"field_ids":[
"categories",
"identifier",
"last_funding_at",
"last_funding_type",
"valuation",
"growth_insight_direction"],
"query":[{
"field_id":"last_funding_at",
"operator_id":"gte",
"type":"predicate",
"values":["2026-01-01" ]},
{
"field_id":"last_funding_type",
"operator_id":"includes",
"type":"predicate",
"values":["seed","series_a"
]}]}Here is an example of a response to the query above:
{
"count": 191,
"entities": [
{
"uuid": "31bb23c0-d028-43c0-a49c-16908a5867e8",
"properties": {
"identifier": {
"permalink": "lmarena",
"image_id": "64a0297694304c1b9ee644c9e0fca405",
"uuid": "31bb23c0-d028-43c0-a49c-16908a5867e8",
"entity_def_id": "organization",
"value": "LMArena"
},
"valuation": {
"value": 1700000000,
"currency": "USD",
"value_usd": 1700000000
},
"last_funding_at": "2026-01-06",
"growth_insight_direction": "c400_growing",
"last_funding_type": "series_a",
"categories": [
{
"permalink": "artificial-intelligence",
"image_id": "930c72a5a7b544999596ac1c0dc8b549",
"uuid": "c4d8caf3-5fe7-359b-f9f2-2d708378e4ee",
"entity_def_id": "category",
"value": "Artificial Intelligence (AI)"
},
{
"permalink": "information-services-f579",
"image_id": "3561862d356f4b61ad312f13a43abe38",
"uuid": "f579213a-60af-8bb3-309b-1d80607ad2a9",
"entity_def_id": "category",
"value": "Information Services"
},
{
"permalink": "machine-learning",
"image_id": "e83f580a280f48f39d789180bce8c2d9",
"uuid": "5ea0cdb7-c9a6-47fc-50f8-c9b0fac04863",
"entity_def_id": "category",
"value": "Machine Learning"
},
{
"permalink": "product-research",
"image_id": "03a37b78c144455fa9b0a62b5c2a0f78",
"uuid": "f213df87-6356-e51f-245a-cf9b7e788b13",
"entity_def_id": "category",
"value": "Product Research"
}
]
}
},Step 2
Reveal Key Signals for Identified Companies
In this step, we’ll reveal additional information about the organizations you identified in step 1, such as funding rounds, investors and press releases.
Endpoint
https://api.crunchbase.com/v4/data/entities/organizations/{entity_id}
API Reference & Documentation
In this query, we’re going to look at forward facing predictions regarding IPOs and Funding from the returned UUIDs (highlighted in yellow) that were returned to us in step 1
GET /v4/data/entities/organizations/replit?field_ids=identifier,growth_insight_direction,growth_insight_confidence,&card_ids=funding_predictions,layoff_predictions,ipo_predictions HTTP/1.1
Accept: application/json
X-Cb-User-Key: *************
Host: api.crunchbase.comResponse
From this response, we can tell that LMArena is classified as growing and is viewed by the model as having a very high likelihood of raising funding in the near term, with funding probability scores consistently in the ~0.90–0.95 range across multiple snapshots from late July through early October 2025; the associated time-to-event distributions are overwhelmingly concentrated in the next 0–5 months, indicating strong confidence that any fundraising activity would occur soon. In addition the repeated linkage to the same Growth Insight, along with references to a product launch and partnership announcement, reveals these signals are primary drivers behind the model’s sustained positive outlook.
{
"properties": {
"growth_insight_direction": "c400_growing",
"identifier": {
"uuid": "31bb23c0-d028-43c0-a49c-16908a5867e8",
"value": "LMArena",
"image_id": "64a0297694304c1b9ee644c9e0fca405",
"permalink": "lmarena",
"entity_def_id": "organization"
}
},
"cards": {
"funding_predictions": [
{
"generated_on": "2025-10-04",
"identifier": {
"uuid": "213a4da5-af74-4ca1-9b4b-746ebc23d7c6",
"value": "Funding Prediction 2025-10-04",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "funding_prediction"
},
"probability_score": 0.9039,
"created_at": "2025-10-06T20:11:15Z",
"partnership_announcement": {
"uuid": "5ce714d9-fad5-4495-8761-20c95f0d9a9a",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "partnership_announcement"
},
"updated_at": "2025-10-06T20:11:15Z",
"probability_tier": "p200_positive_low",
"probability_score_timeseries": {
"months_24_plus": 1.077442552104743E-6,
"months_00_to_05": 0.9999987543203556,
"months_06_to_11": 1.059329221048746E-7,
"months_12_to_24": 6.230417009239019E-8
},
"growth_insight": {
"uuid": "5e308c44-f2eb-45e2-99b9-ec327b844167",
"value": "Growth Insight 2025-07-14",
"image_id": "75e16c7af7234747a3af2f4333c8bf33",
"entity_def_id": "growth_insight"
},
"product_launch": {
"uuid": "a6de206c-98cc-416a-98c8-6f30b0751f51",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "product_launch"
},
"organization": {
"uuid": "31bb23c0-d028-43c0-a49c-16908a5867e8",
"value": "LMArena",
"image_id": "64a0297694304c1b9ee644c9e0fca405",
"permalink": "lmarena",
"entity_def_id": "organization"
}
},
{
"generated_on": "2025-09-27",
"identifier": {
"uuid": "7ce1740c-d9dd-4a14-a8fd-6e916b80e888",
"value": "Funding Prediction 2025-09-27",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "funding_prediction"
},
"probability_score": 0.9426,
"created_at": "2025-09-27T20:23:51Z",
"partnership_announcement": {
"uuid": "5ce714d9-fad5-4495-8761-20c95f0d9a9a",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "partnership_announcement"
},
"updated_at": "2025-09-27T20:23:51Z",
"probability_tier": "p200_positive_low",
"probability_score_timeseries": {
"months_24_plus": 7.792316755550052E-7,
"months_00_to_05": 0.9999990255378147,
"months_06_to_11": 5.324143854831174E-8,
"months_12_to_24": 1.4198907138434E-7
},
"growth_insight": {
"uuid": "5e308c44-f2eb-45e2-99b9-ec327b844167",
"value": "Growth Insight 2025-07-14",
"image_id": "75e16c7af7234747a3af2f4333c8bf33",
"entity_def_id": "growth_insight"
},
"product_launch": {
"uuid": "a6de206c-98cc-416a-98c8-6f30b0751f51",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "product_launch"
},
"organization": {
"uuid": "31bb23c0-d028-43c0-a49c-16908a5867e8",
"value": "LMArena",
"image_id": "64a0297694304c1b9ee644c9e0fca405",
"permalink": "lmarena",
"entity_def_id": "organization"
}
},
{
"generated_on": "2025-09-22",
"identifier": {
"uuid": "318365e3-f527-4239-a325-69f42a9a09e2",
"value": "Funding Prediction 2025-09-22",
"image_id": "1e9ee3dffc5248a9b08dccef53216b2b",
"entity_def_id": "funding_prediction"
},
"probability_score": 0.9437,
"created_at": "2025-09-22T21:47:48Z",
"partnership_announcement": {
"uuid": "5ce714d9-fad5-4495-8761-20c95f0d9a9a",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "partnership_announcement"
},
"updated_at": "2025-09-22T21:47:48Z",
"probability_tier": "p200_positive_low",
"probability_score_timeseries": {
"months_24_plus": 7.807686994025912E-7,
"months_00_to_05": 0.9999990058215359,
"months_06_to_11": 6.219934400284515E-8,
"months_12_to_24": 1.512104206729221E-7
},
"growth_insight": {
"uuid": "5e308c44-f2eb-45e2-99b9-ec327b844167",
"value": "Growth Insight 2025-07-14",
"image_id": "75e16c7af7234747a3af2f4333c8bf33",
"entity_def_id": "growth_insight"
},
"product_launch": {
"uuid": "a6de206c-98cc-416a-98c8-6f30b0751f51",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "product_launch"
},
"organization": {
"uuid": "31bb23c0-d028-43c0-a49c-16908a5867e8",
"value": "LMArena",
"image_id": "64a0297694304c1b9ee644c9e0fca405",
"permalink": "lmarena",
"entity_def_id": "organization"
}
},
{
"generated_on": "2025-09-22",
"identifier": {
"uuid": "7eda9460-1c4d-41b7-87e8-b4af497bea13",
"value": "Funding Prediction 2025-09-22",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "funding_prediction"
},
"probability_score": 0.8433,
"created_at": "2025-09-22T22:12:28Z",
"partnership_announcement": {
"uuid": "5ce714d9-fad5-4495-8761-20c95f0d9a9a",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "partnership_announcement"
},
"updated_at": "2025-09-22T22:12:28Z",
"probability_tier": "p200_positive_low",
"probability_score_timeseries": {
"months_24_plus": 1.597437306062023E-11,
"months_00_to_05": 0.9999984655393923,
"months_06_to_11": 1.533041410270687E-6,
"months_12_to_24": 1.403223201681309E-9
},
"growth_insight": {
"uuid": "5e308c44-f2eb-45e2-99b9-ec327b844167",
"value": "Growth Insight 2025-07-14",
"image_id": "75e16c7af7234747a3af2f4333c8bf33",
"entity_def_id": "growth_insight"
},
"product_launch": {
"uuid": "a6de206c-98cc-416a-98c8-6f30b0751f51",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "product_launch"
},
"organization": {
"uuid": "31bb23c0-d028-43c0-a49c-16908a5867e8",
"value": "LMArena",
"image_id": "64a0297694304c1b9ee644c9e0fca405",
"permalink": "lmarena",
"entity_def_id": "organization"
}
},
{
"generated_on": "2025-09-13",
"identifier": {
"uuid": "5d91ae32-1c44-4440-b747-f2283047f40e",
"value": "Funding Prediction 2025-09-13",
"image_id": "93de4960abae4f128c8711af00b298b8",
"entity_def_id": "funding_prediction"
},
"probability_score": 0.9458,
"created_at": "2025-09-13T17:55:47Z",
"partnership_announcement": {
"uuid": "5ce714d9-fad5-4495-8761-20c95f0d9a9a",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "partnership_announcement"
},
"updated_at": "2025-09-13T17:55:47Z",
"probability_tier": "p200_positive_low",
"probability_score_timeseries": {
"months_24_plus": 5.908159196109343E-7,
"months_00_to_05": 0.9999991729915882,
"months_06_to_11": 9.309243641527163E-8,
"months_12_to_24": 1.431000556748384E-7
},
"growth_insight": {
"uuid": "5e308c44-f2eb-45e2-99b9-ec327b844167",
"value": "Growth Insight 2025-07-14",
"image_id": "75e16c7af7234747a3af2f4333c8bf33",
"entity_def_id": "growth_insight"
},
"product_launch": {
"uuid": "a6de206c-98cc-416a-98c8-6f30b0751f51",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "product_launch"
},
"organization": {
"uuid": "31bb23c0-d028-43c0-a49c-16908a5867e8",
"value": "LMArena",
"image_id": "64a0297694304c1b9ee644c9e0fca405",
"permalink": "lmarena",
"entity_def_id": "organization"
}
},
{
"generated_on": "2025-09-06",
"identifier": {
"uuid": "0ae0b109-f62f-49af-8eee-c885ca616147",
"value": "Funding Prediction 2025-09-06",
"image_id": "87bf5aecd77349db87cd7f8da7263beb",
"entity_def_id": "funding_prediction"
},
"probability_score": 0.906999651231303,
"created_at": "2025-09-08T17:42:23Z",
"partnership_announcement": {
"uuid": "5ce714d9-fad5-4495-8761-20c95f0d9a9a",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "partnership_announcement"
},
"updated_at": "2025-09-08T17:42:23Z",
"probability_tier": "p200_positive_low",
"probability_score_timeseries": {
"months_24_plus": 0.2495311948693514,
"months_00_to_05": 0.1501442833256478,
"months_06_to_11": 0.1276009775102754,
"months_12_to_24": 0.2006028309191082
},
"growth_insight": {
"uuid": "5e308c44-f2eb-45e2-99b9-ec327b844167",
"value": "Growth Insight 2025-07-14",
"image_id": "75e16c7af7234747a3af2f4333c8bf33",
"entity_def_id": "growth_insight"
},
"product_launch": {
"uuid": "a6de206c-98cc-416a-98c8-6f30b0751f51",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "product_launch"
},
"organization": {
"uuid": "31bb23c0-d028-43c0-a49c-16908a5867e8",
"value": "LMArena",
"image_id": "64a0297694304c1b9ee644c9e0fca405",
"permalink": "lmarena",
"entity_def_id": "organization"
}
},
{
"generated_on": "2025-09-06",
"identifier": {
"uuid": "3c7ee95f-8b20-406e-8421-0341aa429e3e",
"value": "Funding Prediction 2025-09-06",
"image_id": "7d1ea21414f44abb9d103a94a274b667",
"entity_def_id": "funding_prediction"
},
"probability_score": 0.9435,
"created_at": "2025-09-08T16:38:04Z",
"partnership_announcement": {
"uuid": "5ce714d9-fad5-4495-8761-20c95f0d9a9a",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "partnership_announcement"
},
"updated_at": "2025-09-08T16:38:04Z",
"probability_tier": "p200_positive_low",
"probability_score_timeseries": {
"months_24_plus": 2.016490228717889E-7,
"months_00_to_05": 0.9999997558802515,
"months_06_to_11": 1.215398290969351E-8,
"months_12_to_24": 3.031674279244361E-8
},
"growth_insight": {
"uuid": "5e308c44-f2eb-45e2-99b9-ec327b844167",
"value": "Growth Insight 2025-07-14",
"image_id": "75e16c7af7234747a3af2f4333c8bf33",
"entity_def_id": "growth_insight"
},
"product_launch": {
"uuid": "a6de206c-98cc-416a-98c8-6f30b0751f51",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "product_launch"
},
"organization": {
"uuid": "31bb23c0-d028-43c0-a49c-16908a5867e8",
"value": "LMArena",
"image_id": "64a0297694304c1b9ee644c9e0fca405",
"permalink": "lmarena",
"entity_def_id": "organization"
}
},
{
"organization": {
"uuid": "31bb23c0-d028-43c0-a49c-16908a5867e8",
"value": "LMArena",
"image_id": "64a0297694304c1b9ee644c9e0fca405",
"permalink": "lmarena",
"entity_def_id": "organization"
},
"generated_on": "2025-08-09",
"identifier": {
"uuid": "80d42ba3-dab8-4db2-bddb-45726d806ac3",
"value": "Funding Prediction 2025-08-09",
"image_id": "9936fca57e3145ccb3d9f8e15975538b",
"entity_def_id": "funding_prediction"
},
"probability_score": 0.9443,
"created_at": "2025-08-10T04:15:49Z",
"updated_at": "2025-08-10T04:15:49Z",
"probability_tier": "p200_positive_low",
"probability_score_timeseries": {
"months_24_plus": 6.487293592804731E-7,
"months_00_to_05": 0.9999992985584716,
"months_06_to_11": 2.740984321651438E-8,
"months_12_to_24": 2.530232612362989E-8
},
"growth_insight": {
"uuid": "5e308c44-f2eb-45e2-99b9-ec327b844167",
"value": "Growth Insight 2025-07-14",
"image_id": "75e16c7af7234747a3af2f4333c8bf33",
"entity_def_id": "growth_insight"
}
},
{
"organization": {
"uuid": "31bb23c0-d028-43c0-a49c-16908a5867e8",
"value": "LMArena",
"image_id": "64a0297694304c1b9ee644c9e0fca405",
"permalink": "lmarena",
"entity_def_id": "organization"
},
"generated_on": "2025-08-02",
"identifier": {
"uuid": "a3abe374-c75f-4eda-a7f5-13350446dbb7",
"value": "Funding Prediction 2025-08-02",
"image_id": "7d1ea21414f44abb9d103a94a274b667",
"entity_def_id": "funding_prediction"
},
"probability_score": 0.9449,
"created_at": "2025-08-02T18:00:30Z",
"updated_at": "2025-08-02T18:00:30Z",
"probability_tier": "p200_positive_low",
"probability_score_timeseries": {
"months_24_plus": 4.659676981721657E-7,
"months_00_to_05": 0.9999994907451835,
"months_06_to_11": 1.515363306192773E-8,
"months_12_to_24": 2.813348519923712E-8
},
"growth_insight": {
"uuid": "5e308c44-f2eb-45e2-99b9-ec327b844167",
"value": "Growth Insight 2025-07-14",
"image_id": "75e16c7af7234747a3af2f4333c8bf33",
"entity_def_id": "growth_insight"
}
},
{
"organization": {
"uuid": "31bb23c0-d028-43c0-a49c-16908a5867e8",
"value": "LMArena",
"image_id": "64a0297694304c1b9ee644c9e0fca405",
"permalink": "lmarena",
"entity_def_id": "organization"
},
"generated_on": "2025-07-26",
"identifier": {
"uuid": "fb418f20-0e80-4c3c-8be9-4a525c890374",
"value": "Funding Prediction 2025-07-26",
"image_id": "930c72a5a7b544999596ac1c0dc8b549",
"entity_def_id": "funding_prediction"
},
"probability_score": 0.9402,
"created_at": "2025-07-26T20:15:58Z",
"updated_at": "2025-07-26T20:15:58Z",
"probability_tier": "p200_positive_low",
"probability_score_timeseries": {
"months_24_plus": 1.168148687727568E-6,
"months_00_to_05": 0.9999987639372785,
"months_06_to_11": 3.531571302585468E-8,
"months_12_to_24": 3.259832064259601E-8
},
"growth_insight": {
"uuid": "5e308c44-f2eb-45e2-99b9-ec327b844167",
"value": "Growth Insight 2025-07-14",
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"entity_def_id": "growth_insight"
}
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]
}
}
From this response, we’re able to conclude:
LMArena is classified as growing, with consistently high funding prediction probabilities (~0.90–0.95) and time-to-event distributions heavily concentrated in the next 0–5 months. Repeated signals tied to product launches and partnership announcements reinforce the model’s confidence that near-term fundraising activity is likely.
Having this level of forward-looking visibility into growth trajectory, funding probability, and underlying drivers allows your team to anticipate upside before it materializes—and to adjust entry timing, ownership targets, or risk exposure ahead of the broader market.
Additional Suggestions
Suggested CRM / Deal Tool Mapping (Salesforce, HubSpot, Affinity, DealCloud)
- Map prediction probabilities into custom fields for sorting and prioritization
- Create simple flags like “High Upside = Yes” when funding or IPO probability crosses your threshold
- Create “Elevated Risk = Yes” when closure or downside risk signals increase
- Add prediction summaries directly into Investment Notes / IC memo prep
- Trigger alerts when prediction scores materially change over time
Suggested Data Warehouse / Reverse ETL Setup
- Store historical prediction scores to track changes in outlook over time
- Build simple probability-weighted models to estimate expected value
- Push upside/risk flags and priority scores back into Affinity, DealCloud, or your CRM
Best Practices
- Treat predictions as decision-support signals, not guarantees
- Combine prediction data with qualitative context to strengthen conviction
- Use longer horizons (9–18 months) for strategy, shorter horizons for sourcing and risk monitoring
- Regularly compare predictions to actual outcomes to refine internal thresholds
Updated 14 days ago
