Dappier + Stream Deck
Artificial Intelligence (AI) · 0 triggers · 6 actions
Monetizing the Shift from Pages to Agents Add Dappier to your Stream Deck workflows with guided setup for the connection details it needs.
- No code
- Free tier
- One Stream Deck press
- Pairs with OBS & Elgato tools
- OAuth & keys handled in-builder
Popular ways to use Dappier
Add Dappier to a workflow and pair it with a Stream Deck button to run it in one press — handy for artificial intelligence (ai) tasks. Combine it with OBS, your Elgato tools, or any other app you connect to build a routine that fits how you work.
Browse all templatesTriggers & actions
Steps your workflow can perform in Dappier.
Search Real-Time Data
Read onlyPerform a real-time web/data search using a Dappier AI model (POST /app/aimodel/{ai_model_id}). Returns an AI-generated message synthesized from live web data. Provide an aiModelId (prefix am_, e.g. am_01j06ytn18ejftedz6dyhz2b15) - NOTE this endpoint takes AI-model IDs (am_), NOT data-model IDs (dm_); for dm_ data models use Get AI Recommendations instead. There is no listing endpoint in the Dappier API; discover valid model IDs in the Dappier Marketplace at https://platform.dappier.com/marketplace. View docs.
Get Sponsored Conversations Analytics
Read onlyRetrieve aggregated sponsored-conversation (ad campaign) analytics (GET /v1/analytics/sponsored-conversations). Returns a summary (impressions, queries, sessions, clicks, conversion rate) plus daily_breakdown, campaign_breakdown, prompt_breakdown, and click_type_breakdown. All filters are optional; with no dates it defaults to the last 7 days (UTC). Example: call with no arguments for the last-7-days rollup, or pass campaignId=cp_... with startDate/endDate to scope one campaign to a window. View docs.
Get Session Intelligence
Read onlyRetrieve session-intelligence analytics for Ask AI widgets (GET /v1/analytics/session-intelligence). Returns a single top-level session_intelligence object wrapping all breakdowns - session_intelligence.summary, .engagement_time stats, .intent_breakdown, .top_queried_topics, .category_distribution (IAB categories), and a fixed 7-bucket .session_engagement_distribution (query-depth). All filters are optional; with no dates it defaults to the last 7 days (UTC). Example: call with no arguments for last-7-days intent and topic breakdowns, or pass widgetId=wd_92831 to scope to a single widget. View docs.
Get Ask AI Logs
Read onlyRetrieve raw Ask AI conversation logs (GET /v1/analytics/ask-ai/logs). Returns a data array of individual conversation rows (timestamp, prompt, response, widget, referring URL, interaction type) sorted newest-first, plus count and total_pages for pagination. All filters are optional; with no dates it defaults to the last 7 days (UTC). This is the row-level detail behind Get Ask AI Analytics. If total_pages in the response is greater than 1, call again with an incremented page to fetch the remaining rows. Example: limit=5 returns the 5 most recent conversations for the last 7 days; add page=2 to get the next 5. View docs.
Get Ask AI Analytics
Read onlyRetrieve aggregated Ask AI widget analytics (GET /v1/analytics/ask-ai). Returns a summary (widget loads, viewable/engagement sessions, clicks, session duration, etc.) plus a daily_breakdown. All filters are optional; with no dates it defaults to the last 7 days (UTC). Use Get Ask AI Logs for the raw per-conversation rows behind these numbers. Example: call with no arguments to get the last-7-days summary, or pass startDate=2026-07-01 and endDate=2026-08-01 for a fixed window. View docs.
Get AI Recommendations
Read onlyGet AI-ranked content recommendations for a Dappier data model (POST /app/v2/search, with data_model_id passed as a query parameter). Returns a structured results array of ranked articles (title, summary, url, score, source, pubdate, etc.). Provide a dataModelId (prefix dm_, e.g. dm_01hpsxyfm2fwdt2zet9cg6fdxt - a known real-time web search data model). NOTE dm_ data-model IDs are distinct from the am_ AI-model IDs used by Search Real-Time Data. There is no listing endpoint in the Dappier API; discover valid data model IDs in the Dappier Marketplace at https://platform.dappier.com/marketplace. Example: dataModelId=dm_01hpsxyfm2fwdt2zet9cg6fdxt, query=top technology stories today returns the top-ranked matching articles; pass fields=["title","url","summary"] to trim each result to just those keys. View docs.
About Dappier
Monetizing the Shift from Pages to Agents
Artificial Intelligence (AI)
How to connect
1
Sign up for free
Create your Conductor Deck account: no credit card required.
2
Connect Dappier
Follow the setup prompts for Dappier. Conductor Deck handles the app authorization or required connection details inside the workflow builder.
3
Build a workflow
Add a Dappier action to your visual workflow canvas. Configure the options you need, then connect it to other steps.
4
Assign to Stream Deck
Sync your workflow to any Stream Deck button. Press once to trigger the entire sequence.
Frequently asked questions
- How do I connect Dappier?
- Sign up for Conductor Deck, then add a Dappier step to a workflow on the visual canvas. The builder walks you through the connection it needs — an account authorization or the required keys — right inside the step. No separate setup or code.
- Is it free?
- Yes — Conductor Deck has a free tier you can build and run workflows on, with no credit card required. Paid plans raise the monthly run limits and add advanced features when you need them.
- What's the difference between a trigger and an action?
- A trigger is the event that starts a workflow — for example, a Stream Deck button press or an incoming event from a connected app. An action is a step the workflow performs once it runs. A workflow is one trigger followed by one or more actions.
Automate Dappier with your Stream Deck
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