Echonews News Intelligence API

From raw posts to structured Stories

Most news feeds expose individual articles and posts. Echonews adds an intelligence layer above them.

Story
├── English title, summary and tags
├── Category and Subcategories
└── related Posts
    ├── Source: X, Telegram or RSS
    ├── original text
    ├── English translation when available
    ├── source timestamp and language
    └── media

A Story is a stable, deduplicated news event assembled from related reporting across sources and languages. You can work at the Story level for monitoring and discovery, then retrieve the underlying Posts when you need source evidence.

What you can do with the API

Built for

API example

Search for Stories related to an English-language topic:

POST /v1/stories/search
Content-Type: application/json
Accept: application/json

{
  "query": "global energy market",
  "mode": "hybrid",
  "sort": "updated_at",
  "filters": {
    "post_languages": ["en"]
  },
  "limit": 20
}

A successful paginated response looks like:

{
  "data": [
    {
      "id": 19621038,
      "title": "Super Contributions Surge After Tax Changes",
      "summary": "Superannuation contributions have surged by more than a third following changes to budget taxes.",
      "category": {
        "slug": "business",
        "name": "Business"
      },
      "subcategories": [
        {
          "slug": "equities",
          "name": "Equities"
        }
      ],
      "updated_at": "2026-09-20T05:07:32Z"
    }
  ],
  "next_cursor": "eyJ2IjoxLC...",
  "has_more": true
}

On RapidAPI, call the REST endpoints directly through RapidAPI Runtime. On Apify, the same Echonews data model is exposed through the Actor RPC interface.

The example is shortened for readability. Pages can contain up to the requested limit.

Available API capabilities

The Echonews API exposes 13 documented operations across Stories, Search, Posts, Sources, reference data, and media.

Continuous news ingestion

Choose how to access Echonews

Echonews provides the same underlying news intelligence and data model through multiple distribution channels. Choose the integration model that best fits your application.

A typical workflow

Find or search a Story
        ↓
Get the Posts behind it
        ↓
Inspect original source text and translation
        ↓
Retrieve associated media
        ↓
Materialize supported Telegram media when needed

This lets an application work with a clean normalized Story for discovery while retaining access to the original source evidence.

Important notes

• Story-level text is normalized to English.
• Story search queries must be English.
• Original Posts retain their source language and original text.
• English Post translations are included when available.
• Semantic matching currently covers approximately the latest 35 days.
• Raw Posts support structural filtering but not keyword or semantic text search.
• Echonews does not currently provide streaming, WebSocket, SSE, or webhook delivery.