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Dappier Real-Time Search – Finance & Stock Data Model (dm_01jketafckeh0vxacqv1s295j0)
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Dappier Real-Time Search – Finance & Stock Data Model (dm_01jketafckeh0vxacqv1s295j0) is a free API for AI agents from agents.dappier.com, Free, status unknown (last checked 2026-09-15).
Searches a curated financial and stock market data model using natural language queries, returning ranked real-time articles with titles, previews, authors, and publication dates.
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_01jketafckeh0vxacqv1s295j0.
Output
An array of article objects, each containing the article title, URL, site name, site domain, author, publication date, image URL, and a preview snippet of the article content — all sourced from Dappier's financial and stock market data model.
Example use cases
Breaking earnings news lookup
“Find me the most recent articles about Apple's quarterly earnings results — I want the 5 latest pieces, sorted by how recent they are.”
Trending sector research
“What are the trending stories right now about the semiconductor industry? Pull the top 5 trending financial articles from Dappier's stock and finance data model.”
Source-specific financial coverage
“Search for articles about Federal Reserve interest rate decisions published on wsj.com — give me at least 3 results from that domain and rank them semantically by relevance to rate hike impact.”
Technical details
Endpoint
POSThttps://agents.dappier.com/zeroclick/v2/search?data_model_id=dm_01jketafckeh0vxacqv1s295j0When to prefer
Choose this endpoint when you need real-time, article-level search results specifically from a financial and stock market data model — particularly when you want structured metadata (author, pubdate, preview) per result, need to prioritize articles from a specific news domain via 'ref', or want flexible ranking strategies (semantic, trending, most recent). Prefer this over generic web search when finance-domain focus and article-level provenance matter.
Side effects
- Missing required 'query' field returns a 400 validation error
- Invalid 'search_algorithm' enum value returns a schema validation error
- No matching articles for a very specific query returns an empty results array
- Unavailable data model ID returns a 404 or model-not-found error
- Network timeout on high-latency queries returns a 503 or timeout 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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