Jev Lead Qualification Scorer — B2B Lead Scoring
Score supplied leads against a buyer-provided ideal-customer profile using a TypeSafe Jev key. It never writes to a CRM.
Jev Lead Qualification Scorer — B2B Lead Scoring returns 12 documented output fields, including state, questions, index, sourceId and lead. Every field carries a declared type, a written description and an example value. 18 runs are recorded on Apify.
- 12
- Output fields
- 4
- Inputs
- 18
- Runs
- 2026-10-15
- Last run
01 — output
What it returns
Every field the extractor writes to its dataset, with its type, a written description and an example value.
| Field | Type | What it holds | Example |
|---|---|---|---|
| state | stringnull | Current state of this record in its own lifecycle. | |
| questions | objectnull | Questions as recorded for this row. | |
| index | string | number | boolean | array | objectnull | Position of this row within the run. | 1 |
| sourceId | string | number | boolean | array | objectnull | Identifier of the input record this row came from. | rec_01 |
| lead | string | number | boolean | array | objectnull | Lead as recorded for this row. | [] |
| fit | string | number | boolean | array | objectnull | Fit as recorded for this row. | [] |
| priority | string | number | boolean | array | objectnull | Priority assigned to this row. | [] |
| missingContextProbability | string | number | boolean | array | objectnull | Missing Context Probability as recorded for this row. | [] |
| status | string | number | boolean | array | objectnull | Outcome recorded for this row. | ok |
| minConfidence | string | number | boolean | array | objectnull | Min Confidence as recorded for this row. | [] |
| judgments | string | number | boolean | array | objectnull | The full structured judgement returned by the model. | {"stance":{"choice":"recommended"}} |
| model | string | number | boolean | array | objectnull | Identifier of the model that produced the judgement. | jev-latest |
02 — sample
One record
Assembled from the example values declared on the schema above, not invented at render time.
{
"state": "",
"questions": "",
"index": 1,
"sourceId": "rec_01",
"lead": "[]",
"fit": "[]",
"priority": "[]",
"missingContextProbability": "[]"
}03 — input
What you give it
| Input | Type | Description |
|---|---|---|
| icp | stringrequired | Buyer-defined criteria for a qualified lead. |
| records | arrayrequired | Rows containing supplied lead context. |
| typesafeApiKey | stringoptional | Secret — supply your own value. |
| maxItems | integeroptional | Hard cap on processed lead rows. |
04 — run
Run Jev Lead Qualification Scorer on your own input
It runs in the cloud on Apify. Nothing to install, and you are billed per result returned rather than per attempt.
05 — questions
Asked before running it
12 of 12 fields described
- What does Jev Lead Qualification Scorer — B2B Lead Scoring return?
- It returns 12 documented output fields: state, questions, index, sourceId, lead, fit, priority, missingContextProbability, status, minConfidence, judgments and model. Each field declares its type, a description of what it holds, and an example value.
- What input does Jev Lead Qualification Scorer — B2B Lead Scoring require?
- icp and records are required. A further 2 inputs are optional. The full input schema, with types and defaults, is below.
- Does Jev Lead Qualification Scorer — B2B Lead Scoring need an API key or login?
- Yes — typesafeApiKey is marked secret and must be supplied by you. Nothing else in the input schema needs credentials.
- How do I run Jev Lead Qualification Scorer — B2B Lead Scoring?
- It runs on Apify. Start it from its listing with the inputs above, or call the Apify API with the Actor's ID. Results land in a dataset you can export as JSON, CSV or Excel, or read through the Apify API into your own pipeline.