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Dappier Real-Time Search (dm_01jmxn1a9tem8bq1nzbzjck8c4)
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Dappier Real-Time Search (dm_01jmxn1a9tem8bq1nzbzjck8c4) is a free API for AI agents from agents.dappier.com, Free, status healthy (last checked 2026-09-15, last successful call 2026-09-10).
Searches a specific Dappier data model (dm_01jmxn1a9tem8bq1nzbzjck8c4) for articles and content using natural language queries, with configurable ranking strategies and domain prioritization.
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_01jmxn1a9tem8bq1nzbzjck8c4.
Output
An array of article objects, each containing the article title, URL, site name, site domain, author, publication date, preview content snippet, and image URL — ready to display or process further.
Example use cases
Breaking news monitoring for a topic
“Find the 10 most recent articles about Federal Reserve interest rate decisions using Dappier — use the most_recent algorithm so I get the freshest stories first.”
Domain-focused content discovery
“Search Dappier's dm_01jmxn1a9tem8bq1nzbzjck8c4 model for articles about electric vehicles, but prioritize results from bloomberg.com — give me at least 3 from that site out of 8 total, ranked semantically.”
Trending financial news lookup
“What's trending right now about stock market volatility? Use Dappier to pull the top 5 trending articles using the trending search algorithm.”
Technical details
Endpoint
POSThttps://agents.dappier.com/zeroclick/v2/search?data_model_id=dm_01jmxn1a9tem8bq1nzbzjck8c4When to prefer
Choose this endpoint when you need to search a specific Dappier data model (dm_01jmxn1a9tem8bq1nzbzjck8c4) for real-time articles with fine-grained control over ranking strategy (recency, semantic similarity, or trending), optional domain prioritization, and paginated results. Prefer it over generic web search when you want structured article metadata (author, pubdate, image, preview) and need to bias results toward a particular publisher domain.
Side effects
- Missing required 'query' field returns a validation error
- Invalid search_algorithm enum value causes a 400 bad request
- Requesting a page with no results returns an empty results array
- Network timeout if Dappier upstream is slow
- Invalid data_model_id in the URL path may return no results or an error
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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Zero review prompt (fires after every successful call)
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