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Dappier Real-Time Search (dm_01j1sz8t3qe6v9g8ad102kvmqn)
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Dappier Real-Time Search (dm_01j1sz8t3qe6v9g8ad102kvmqn) is a free API for AI agents from agents.dappier.com, Free, status healthy (last checked 2026-09-15, last successful call 2026-08-21).
Search a specific Dappier data model (dm_01j1sz8t3qe6v9g8ad102kvmqn) using natural language queries, returning ranked article results with titles, URLs, previews, authors, and publication dates.
Price / callFree
Success100%
StatusHealthy
How this service works
Access real-time search with Dappier’s AI models — from live web search and breaking news to stock prices and financial insights. Fast, reliable, and ready for monetization. This server is a pay-per-use, transparent proxy in front of Dappier's own API: it handles identity, payment, and proxying. Agents can purchase autonomously or with their human's approval. This document is the source of truth for agents: it lists the complete verified paid surface with each operation's live price in its x-payment-info. Endpoints not listed here are not part of the supported catalog. The live catalog at /manifest.json is authoritative for prices and any free included units (prices[].includedUnits) - some meters include free usage per account before any charge. This capability is scoped to data_model_id=dm_01j1sz8t3qe6v9g8ad102kvmqn.
Output
An array of article objects, each containing the article title, URL, site name, site domain, author, publication date, image URL, and a preview of the content body — ready for display or further processing.
Example use cases
Breaking news monitoring for a topic
“Find me the 10 most recent articles about Federal Reserve interest rate decisions using Dappier's search, ranked by most recent.”
Domain-focused article retrieval
“Search Dappier for articles about electric vehicle battery technology, but prioritize results from reuters.com — give me 5 articles using semantic ranking.”
Trending financial news discovery
“What's trending right now about S&P 500 stocks? Use Dappier to pull 8 trending articles on the topic.”
Technical details
Endpoint
POSThttps://agents.dappier.com/zeroclick/v2/search?data_model_id=dm_01j1sz8t3qe6v9g8ad102kvmqnWhen to prefer
Choose this endpoint when you need real-time article search from the specific Dappier data model dm_01j1sz8t3qe6v9g8ad102kvmqn — especially when you need flexible ranking (semantic, trending, most recent) or domain-prioritized article retrieval. It is well-suited for news aggregation, research, and content discovery workflows where structured article metadata (author, date, preview) is needed alongside URLs.
Side effects
- Missing required 'query' field returns a validation error
- Invalid data_model_id returns no results or an authorization error
- Invalid search_algorithm enum value returns a 400 bad request
- Requesting a page beyond available results returns an empty results array
- Network timeout if the upstream Dappier API is unavailable
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| ref | string | Optional site domain to prioritize articles from, for example techcrunch.com. |
| page | integer | Results page. |
| queryrequired | string | A natural language query for articles from the selected data model. |
| num_results | integer | Number of articles to return. |
| num_articles_ref | integer | Minimum number of articles from the ref domain when ref is set. |
| search_algorithm | string | Ranking strategy for results. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| resultsrequired | array |
Tags
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