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Dappier Real-Time Search (dm_01j1sza0h7ekhaecys2p3y0vmj)
x402
Dappier Real-Time Search (dm_01j1sza0h7ekhaecys2p3y0vmj) is a free API for AI agents from agents.dappier.com, Free, status unknown (last checked 2026-09-15).
Searches a specific Dappier data model (dm_01j1sza0h7ekhaecys2p3y0vmj) for real-time articles, news, and web content using natural language queries with configurable ranking strategies.
Price / callFree
Success—
StatusUnknown
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_01j1sza0h7ekhaecys2p3y0vmj.
Output
Returns an array of article objects, each containing the URL, site name, site domain, title, author, publication date, image URL, and a preview of the article content — ready for an agent to summarize, filter, or present to the user.
Example use cases
Breaking news monitoring for a topic
“Find me the 10 most recent articles about AI regulation and policy changes — use the most_recent ranking so I get today's news first.”
Trending finance stories from a source
“Search Dappier for the top trending articles about stock market earnings this week, pulling at least 3 results from Bloomberg.com if possible.”
Semantic research on a niche subject
“I'm researching quantum computing breakthroughs — can you do a semantic search on Dappier and return 7 articles most closely related to my query?”
Technical details
Endpoint
POSThttps://agents.dappier.com/zeroclick/v2/search?data_model_id=dm_01j1sza0h7ekhaecys2p3y0vmjWhen to prefer
Choose this endpoint when you need real-time, ranked article search scoped to the dm_01j1sza0h7ekhaecys2p3y0vmj Dappier data model, especially when you want fine-grained control over ranking strategy (most_recent, semantic, trending) or need to prioritize results from a specific domain. Prefer this over generic web search when you want structured article metadata (author, pubdate, preview) rather than raw web snippets.
Side effects
- Invalid or missing query field returns a validation error
- Unsupported search_algorithm enum value causes a 400 bad request
- No results found for niche queries returns an empty results array
- Rate limiting or payment issues may result in 402 or 429 errors
- The ref domain may yield fewer articles than num_articles_ref if the domain has sparse coverage in the data model
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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