AI AGENTS

On-Demand Competitor Question Watch

Fires from a webhook with a competitor and a question, runs a deep sourced search across web and the company's own pages, and returns a JSON evidence payload with claims…

CategoryAI Agents
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook receives competitor and questionHTTP webhook
  • ActionNeural web search scoped to competitorExa
  • ActionCrawl competitor's own site for first-party claimsFirecrawl
  • ActionMerge claims, dedupe, assign confidence flagsOpenAI
  • OutputReturn structured evidence JSON to callerHTTP webhook

What it does

Answers a targeted competitor question on demand and returns it as machine-readable evidence. Hit the webhook with a competitor name and a question; the agent searches the open web and crawls the competitor's own site, then returns a JSON payload of claims, each with a source URL, supporting quote, and confidence flag, ready for another system to consume.

When to use it

Use it when another tool, a CRM workflow, or an internal app needs sourced competitive intelligence programmatically, for example enriching a deal record the moment a competitor is mentioned, rather than a human reading a report.

How it works

  1. 1An incoming webhook delivers the competitor name and question.
  2. 2The agent runs a neural web search scoped to that competitor and topic.
  3. 3It crawls the competitor's own site to capture first-party claims like pricing or features.
  4. 4An LLM merges findings into atomic claims, dedupes, and assigns confidence flags by source agreement.
  5. 5The structured evidence payload is returned to the caller as the webhook response.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect FirecrawlCrawl, scrape, structured extract.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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