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Jev Research Evidence Sorter — Rank Source Evidence

Rank supplied research snippets by relevance and evidence type using TypeSafe Jev while preserving source URLs.

Jev Research Evidence Sorter — Rank Source Evidence returns 8 documented output fields, including index, sourceId, url, text and relevance. Every field carries a declared type, a written description and an example value. 21 runs are recorded on Apify.

Run it on ApifyPay per result · no subscription
8
Output fields
4
Inputs
21
Runs
2026-10-16
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.

FieldTypeWhat it holdsExample
indexstring | number | boolean | array | objectnullPosition of this row within the run.1
sourceIdstring | number | boolean | array | objectnullIdentifier of the input record this row came from.rec_01
urlstring | number | boolean | array | objectnullThe URL this row describes.[]
textstring | number | boolean | array | objectnullPlain text content of this record.[]
relevancestring | number | boolean | array | objectnullHow relevant this row is to the query, from 0 to 1.[]
evidenceTypestring | number | boolean | array | objectnullEvidence Type as recorded for this row.[]
judgmentsstring | number | boolean | array | objectnullThe full structured judgement returned by the model.{"stance":{"choice":"recommended"}}
modelstring | number | boolean | array | objectnullIdentifier 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.

{
  "index": 1,
  "sourceId": "rec_01",
  "url": "[]",
  "text": "[]",
  "relevance": "[]",
  "evidenceType": "[]",
  "judgments": "{\"stance\":{\"choice\":\"recommended\"}}",
  "model": "jev-latest"
}

03 — input

What you give it

InputTypeDescription
querystringrequiredQuestion used to judge relevance.
recordsarrayrequiredRows with source URL and text.
typesafeApiKeystringoptionalSecret — supply your own value.
maxItemsintegeroptionalHard cap on enriched rows.

04 — run

Run Jev Research Evidence Sorter 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.

Open on Apify ↗

05 — questions

Asked before running it

8 of 8 fields described

What does Jev Research Evidence Sorter — Rank Source Evidence return?
It returns 8 documented output fields: index, sourceId, url, text, relevance, evidenceType, judgments and model. Each field declares its type, a description of what it holds, and an example value.
What input does Jev Research Evidence Sorter — Rank Source Evidence require?
query and records are required. A further 2 inputs are optional. The full input schema, with types and defaults, is below.
Does Jev Research Evidence Sorter — Rank Source Evidence 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 Research Evidence Sorter — Rank Source Evidence?
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.