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Dappier Publisher Article Search & Recommendations
Dappier Publisher Article Search & Recommendations is a paid API for AI agents from agents.dappier.com, paid per call via MPP, price unknown, status unknown (last checked 2026-10-29, last successful call 2026-09-24).
Searches and ranks articles from curated publisher data models (news, finance, parenting, lifestyle, sports, etc.) using natural language queries and configurable ranking algorithms.
Price / call—
Success83%
StatusUnknown
How this service works
Returns articles from the publisher data model selected with the data_model_id query parameter. The search_algorithm field controls ranking: most_recent (default), semantic, most_recent_semantic, or trending. Available models: dm_01jhtt138wf1b9j8jwswye99y5 (9 and 10 News): Local news, weather, sports, and community stories for Northern Michigan from 9 and 10 News. dm_01jmxn1a9tem8bq1nzbzjck8c4 (Benzinga): Financial news and stock coverage from Benzinga.com. dm_01jketafckeh0vxacqv1s295j0 (CafeMom Parenting): Parenting advice, family tips, and self-care articles from CafeMom, Mom.com, LittleThings, and MamasLatinas. dm_01jh3jg18fe92v4az2h2163t8k (MethodShop): Tech guides, how-tos, and digital lifestyle articles from MethodShop.com. dm_01jagy9nqaeer9hxx8z1sk1jx6 (WISH-TV): Indiana news, sports scores, local events, and broadcast clips from WISH-TV. dm_01j1sza0h7ekhaecys2p3y0vmj (iHeartCats): Cat health, behavior, and lifestyle articles from iHeartCats.com. dm_01j1sz8t3qe6v9g8ad102kvmqn (iHeartDogs): Dog health, behavior, grooming, and ownership articles from iHeartDogs.com.
Output
An array of article objects, each containing the article title, URL, author name, publication date, site name, site domain, image URL, and a preview content snippet — ready to be surfaced directly to a user or processed further by an agent.
Example use cases
Financial news briefing for investor
“Search Benzinga's publisher model on Dappier for the latest stock market news about Tesla — use the most_recent algorithm and give me 5 articles.”
Parenting advice for new parents
“Find me trending parenting articles about newborn sleep schedules from Dappier's CafeMom model (dm_01jketafckeh0vxacqv1s295j0), using the trending ranking.”
Local Michigan weather and news
“Pull the 3 most recent articles about winter weather in Northern Michigan from Dappier's 9 and 10 News model (dm_01jhtt138wf1b9j8jwswye99y5).”
Technical details
Endpoint
POSThttps://agents.dappier.com/zeroclick/v2/search?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need curated, publisher-specific article content from known media brands (e.g. Benzinga for finance, CafeMom for parenting, Sportsnaut for sports) with flexible ranking — most recent, semantic similarity, or trending. Prefer this over generic web search when you want structured article metadata (author, date, image, preview) from vetted publishers rather than raw web results.
Side effects
- Invalid or missing data_model_id results in no results or an error response
- Empty query string may return unexpected or irrelevant results
- Requesting more results than available in the model returns a partial or empty array
- Invalid search_algorithm enum value may cause a validation error
- Network timeout or upstream Dappier service unavailability returns a 5xx error
- Requesting a page beyond available results returns an empty results array
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| ref | string | The site domain where AI recommendations are being displayed. Example format: dappier.com. |
| page | integer | Page number for pagination. |
| queryrequired | string | Natural language query, keyword, or URL. If a URL is specified, our AI analyzes the page context, summarizes it, and provides semantic recommendations based on the content. |
| num_results | integer | Number of results per page. |
| search_type | string | Optional search type forwarded to the retrieval pipeline. |
| num_articles_ref | integer | The minimum number of articles from the `ref` domain specified above. The rest of the articles will come from other sites within the RAG model. |
| search_algorithm | string | The search algorithm for retrieving articles. `most_recent`: Retrieves the most recent articles by publication date. `semantic` (default): Retrieves contextually relevant articles based on the query or the page content from the provided URL. `most_recent_semantic`: Performs semantic search and retrieves the most recent articles by publication date. `trending`: Performs a trending search and retrieves the most relevant articles to trending keywords in the past 24 hours. |
| similarity_top_k | integer | The number of articles to return. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| status | string | The status of the API response. |
| response | object |
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