# News articles (/docs/proof-points/news-articles)



News articles are the full article corpus — coverage and other article-type sources — without requiring a relation-extraction label. Use `mentionsEvents` when you only want articles that mention a product launch, partnership, investment, or acquisition.

**Endpoints:**

* `POST /proof-points/news-articles/search` — [playground](/docs/api-reference/endpoints/search_news_articles_proof_points_news_articles_search_post)
* `POST /proof-points/news-articles/time-series` — [playground](/docs/api-reference/endpoints/news_articles_time_series_proof_points_news_articles_time_series_post)
* `POST /proof-points/news-articles/correlation-matrix` — [playground](/docs/api-reference/endpoints/news_articles_correlation_matrix_proof_points_news_articles_correlation_matrix_post)

For grouped partnership or product-launch events, prefer [Manifestations](/docs/core-concepts/manifestations).

## Typical Questions [#typical-questions]

* How is media coverage evolving around this trend?
* Which articles mention organizations in my scope?
* Which articles are labeled as product launches or partnerships?

## Type-specific filters [#type-specific-filters]

On top of the [shared proof-point fields](/docs/proof-points):

* `mentionsEvents` — `product-launch`, `partnership`, `investment`, `acquisition`
* `sourceIsPremium` — restrict to premium sources
* `sourceCountryIds` — source country UUIDs

## Request Patterns [#request-patterns]

### Search [#search]

```json
{
  "query": "solid-state batteries",
  "topicIds": ["11111111-1111-1111-1111-111111111111"],
  "start": "2023-01-01T00:00:00Z",
  "end": "2024-12-31T23:59:59Z",
  "mentionsEvents": ["product-launch"],
  "take": 25,
  "skip": 0,
  "sortColumn": "published_at",
  "sortDirection": "desc"
}
```

### Time series [#time-series]

```json
{
  "topicIds": ["11111111-1111-1111-1111-111111111111"],
  "resolution": "month",
  "start": "2023-01-01T00:00:00Z",
  "end": "2024-12-31T23:59:59Z"
}
```

## Response Notes [#response-notes]

Search returns a page of enriched documents: `title`, `summary`, `url`, `publishedAt`, `source`, `topics`, `orgNodes`, and related entity nodes. Time series returns `labels` and `counts` per bucket.