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Output Explorer

Every prompt in the paper, and what each model wrote back.

Return exactly ten single-sentence facts as JSON. Quality was judged pairwise; here you see the raw outputs and whether the JSON parsed.

13 of 1,000 prompts

RGCO · Q4 20252025-12-04FLO · Q4 20252026-02-13MA · Q2 20252025-07-31FRGE · Q2 20252025-07-30GCO · Q1 20272026-05-29CURI · Q2 20252025-08-05HUBG · Q2 20252025-07-31WAT · Q2 20252025-08-04SF · Q3 20252025-10-22KAR · Q2 20252025-08-06HY · Q1 20262026-05-06SLM · Q1 20262026-04-23PX · Q3 20252025-11-06

Nearby prompts. All 1,000 Earnings calls prompts

PromptHUBG· Q2 2025 · call on2025-07-31· transcript 54,461 characters
Analyze the following earnings call transcript and extract the 10 most investor-relevant facts.

Each fact must:
- Be drawn only from the transcript (do not use any outside information).
- Be a single sentence capturing a specific, quantified insight relevant to investors.
- Avoid regurgitating the transcript verbatim; instead, synthesize and distill the information into investor-relevant facts.

Return only a JSON object with this exact structure (no markdown fences, no commentary):
{"facts": ["<fact 1>", "<fact 2>", ..., "<fact 10>"]}

The list must contain exactly 10 facts.

Transcript:
<transcript>
transcript redacted — the source calls are not publicly licensed
</transcript>
System prompt · identical for every setup
You are a financial analyst. You extract the most investor-relevant facts from earnings call transcripts to help investors anticipate the stock's reaction to the call.
Reference

No reference summary is published. Quality was judged pairwise by a separate model and is reported in aggregate on the main page.

Models
4 of 4 columns · click a model to add or remove it

Ours

10 facts · valid JSON
  1. Hub Group reported full-year 2025 EPS guidance of $1.80 to $2.05 and revenue guidance of $3.6 billion to $3.8 billion, narrowing the low end of the EPS range based on cost savings and consumer spending stability.
  2. The company increased its annual cost reduction target from $40 million to $50 million after completing the vast majority of the initial goal and identifying additional efficiency opportunities.
  3. ITS operating income increased 6% year-over-year despite a 6% revenue decline, driven by a 9% drop in fuel revenue and improved margins from increasing in-sourced drayage to 80%.
  4. Intermodal volume grew 2% overall, with specific growth highlights including Mexico traffic up over 300% and refrigerated business growing 18% despite slower import volumes near quarter end.
  5. Final Mile division expects to onboard $150 million in net new annualized revenue during the third and fourth quarters, which will be accretive to Logistics margins despite short-term start-up costs.
  6. Logistics revenue declined 12% and operating income dropped 13% year-over-year, primarily driven by soft brokerage conditions where load counts fell 5% and revenue per load dropped 9%.
  7. Adjusted EBITDA for the quarter was $85 million with net debt at $96 million, resulting in a net debt-to-EBITDA ratio of 0.3x, well below the company's stated target range of 0.75x to 1.25x.
  8. The acquisition of Marten Transport's refrigerated Intermodal fleet is expected to be accretive by $0.01 to $0.02 per share in the fourth quarter with mid-single-digit accretion anticipated in 2026.
  9. Peak season surcharges are currently larger in dollar terms than last year and started earlier in the season, though management has not incorporated significant surcharge revenue into their guidance midpoint.
  10. Over 80% of customers utilize two or more of Hub Group's services, with over 60% using three or more, cross-selling opportunities that management views as a key driver of portfolio stability and growth.
2,052 characters491 tokens

Aux 2015

Invalid JSONshown as written

Based on the transcript, here are the 10 most investor-relevant facts extracted from the Hub Group, Inc. earnings call:

  1. Hub Group's Intermodal business is experiencing strong growth despite lower import volumes.
  2. Intermodal volume increased 2% year-over-year despite a decline in import activity at the end of the quarter.
  3. Dedicated revenue declined due to small loss sites and equipment count reductions in existing operations.
  4. Intermodal revenue per load declined 9% year-over-year due to lower fuel and accessorial revenue.
  5. Dedicated revenue also declined due to small loss sites and equipment count reductions in existing operations.
  6. Intermodal volume increased 2% year-over-year despite a decline in import activity at the end of the quarter.
  7. Revenue per load declined 9% year-over-year due to lower fuel and accessorial revenue as well as a shorter length of haul.
  8. Dedicated revenue also declined due to small loss sites and equipment count reductions in existing operations.
  9. Intermodal volume increased 2% year-over-year despite a decline in import activity at the end of the quarter.
  10. Revenue per load declined 9% year-over-year due to lower fuel and accessorial revenue as well as a shorter length of haul.

These facts are drawn directly from the transcript and are quantified insights relevant to investors.

1,388 charactersfirst of 2 attempts302 tokens

PiT-FT 2015

Invalid JSONshown as written
<|assistant|>
<|assistant|>
<|assistant|>

The same 14-character fragment repeats 292 times until the token limit. Showing the first three.

4,099 charactersfirst of 2 attempts2,048 tokens

ChronoGPT 2015

Invalid JSONshown as written

### Final Question:
33 charactersfirst of 2 attempts13 tokens