MARKET RESEARCH
On-Demand Trend Radar Agent via Webhook
On a webhook call with a topic, an agent autonomously sweeps Brave Search and Exa, clusters and reasons over the signals, and returns a complete opportunity radar in the response.
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook with topic and filtersHTTP webhook
- ActionAgent sweeps Brave Search, adapting query depthBrave Search
- ActionPull deeper context from Exa on top threadsExa
- ActionCluster and reason over momentum and whitespaceOpenAI
- LogicSelf-check coverage, re-query if gaps remain
- OutputReturn structured radar in webhook responseHTTP webhook
What it does
Exposes the trend-radar sweep as an on-demand service. A webhook hands the agent a topic and optional constraints; the agent decides how to query Brave Search for breadth and Exa for depth, iterates if coverage is thin, clusters the findings into named opportunities, and reasons about momentum and whitespace. The finished radar — clusters, scores, and a short strategic read — comes back in the webhook response for any app or assistant to consume.
When to use it
When you want trend analysis embedded in another product or internal tool rather than on a fixed schedule — a button in a dashboard, a Slack command, or a CEO chat asking "what's moving in X right now." The agent adapts its search depth to the topic instead of running a fixed pipeline.
How it works
- 1A webhook receives a topic and optional filters.
- 2The agent runs Brave Search sweeps, broadening or narrowing as needed.
- 3It pulls deeper context from Exa on the most promising threads.
- 4It clusters signals and reasons over momentum and whitespace.
- 5It self-checks coverage and re-queries if gaps remain.
- 6The structured radar is returned in the webhook response.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect Brave SearchWeb, news, image, video search.
- 3Connect ExaNeural search across the web.
- 4Connect OpenAIModels, embeddings, files.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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