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Review sentiment

Understand the complaints behind the rating.

Read a bounded review sample, identify recent negative feedback, and keep the original evidence alongside your summary.

Connect and try this workflow
Research files and comparison objects arranged for a review

What you can inspect

  • Trustpilot sample size and average review rating
  • Recent negative reviews and URLs
  • Negative-review share and alerts
  • Lookback window and coverage warnings

Fields vary with what the source makes available. Missing values remain missing.

Try this prompt

Use Thirdwatch to review Patagonia's recent Trustpilot feedback. Use patagonia.com as the company domain, a 30-day lookback and up to 10 reviews. Estimate the cost first, then show the sample size, average review rating, negative-review share and original review links. Do not generalize missing dates or a small sample.

First call get_account_info to check your connection. Preview this request with estimate_cost, then run the selected data tool when you are ready. These inputs show an example request, not live results.

estimate_cost · preview input

{
  "tool_name": "brand_sentiment",
  "query": "Patagonia",
  "company_domain": "patagonia.com",
  "sources": [
    "trustpilot"
  ]
}

brand_sentiment · example tool input

{
  "brand": "Patagonia",
  "company_domain": "patagonia.com",
  "sources": [
    "trustpilot"
  ],
  "lookback_days": 30,
  "max_results": 10
}

Know the coverage

This is an on-demand sample, not a background monitoring service. A returned alert reflects the tool's thresholds, not proof of a trend. Undated reviews can remain in the sample; disclose them. Selected sources may return partial or empty results.

A useful next question

Compare specific complaints against the company's published product or support information. Run a later search only when you need a fresh sample.

Returned metadata includes the source coverage, credits used and any warnings. Additional data calls can use more credits.