MARKET RESEARCH

On-Demand Earnings Theme Deep-Dive Agent

Ask in chat about any competitor's earnings narrative; an agent fetches recent transcripts, traces a theme across quarters with cited quotes.

CategoryMarket Research
Enginepaperclip
Difficultyintermediate
Triggerchat
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerChat question about a company's theme over time
  • ActionRetrieve the relevant quarterly transcriptsFirecrawl
  • ActionExtract theme mentions and quotes per quarterOpenAI
  • LogicAssemble trajectory and flag missing quarters
  • OutputReply in chat with sourced multi-quarter analysis

What it does

Gives analysts a conversational way to interrogate earnings narratives. You ask something like 'How has Competitor X talked about pricing power over the last four calls?' and the agent gathers the relevant transcripts, finds where that theme appears, and answers with a quarter-by-quarter trajectory backed by direct quotes and call dates — instead of you grepping transcripts manually.

When to use it

Use it for ad-hoc research mid-analysis, when prepping for a meeting, or when a structured tracker doesn't yet cover the exact angle you need. Best when questions are exploratory and a fixed schedule wouldn't anticipate them.

How it works

  1. 1A chat message starts the agent with a question about a company and a theme.
  2. 2The agent decides which quarters it needs and uses Firecrawl to retrieve the relevant transcripts.
  3. 3It reasons over the text to locate the theme and pull representative quotes per quarter, calling OpenAI for nuanced extraction where needed.
  4. 4It assembles a sourced, quarter-by-quarter trajectory and flags any gaps in available transcripts.
  5. 5The answer is returned in the chat thread with quotes, dates, and links for verification.

Set it up

What you configure once, before turning it on.

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

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.