Run: 2026-03-11-01KKFJWSAYS9C5RD4X5PZA4XS8

Run Details

Duration:
21.2s
Cost:
$0.000000
Provider:
Stealth

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
0.01% Dialogue to Total Word Ratio (details)
0.0030% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 50% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
The purple-and-gold streamers fluttered from the Hendersons’ oak tree like the forgotten flag of a tiny, sugar-crazed nation. From behind the birdbath, Molly adjusted her binoculars. “Target assessment: seven-year-old’s birthday. Primary assets: presents, approximately fifteen, clustered under the dining room table. Secondary assets: cake, piñata contents.” Bill, crouched beside her, nodded with the solemnity of a man planning the Normandy invasion. “What’s the opposition?” “Six small hostiles, currently hyperactive. Two supervisory adults, periodically distracted by the grill. One teenage cousin, glued to her phone. A golden retriever with a weak bladder—unpredictable, but non-confrontational.” “Simple smash and grab, then,” Bill whispered. “I go in, dazzle the kids with my dinosaur impression, you sweep the loot into the sack.” “Negative. That’s the amateur hour.” Molly pointed with a penlight. “We use the planned chaos. The piñata drop is at 3 PM. That’s our window. When the bat swings, the kids swarm for candy. That’s when we move.” Bill squinted. “You want to steal from kids while they’re blinded by Jolly Ranchers? That’s cold, Molly.” “It’s efficient. Now, the presents are wrapped. We can’t sort in the field. We take the whole cache, unwrapped. We identify the high-value items later.” “What if there’s, like, a single really cool robot dinosaur in there? From the expensive toy store in town?” “Bill, we’re professionals. We redistribute ill-gotten gains. That robot dinosaur will be anonymously donated to a daycare. It’s about the *craft*.” “Right, the craft.” Bill grinned. “So, what’s my cue?” “When the first piece of candy hits the grass, you deploy the distraction. The inflatable castle. You puncture it.” “The bounce house? That’s cruel, Molly. That’s their entire operational base.” “Precisely. The sudden deflation will cause mass confusion and a secondary scramble. You pop it, then circle to the rear sliding glass door. I’ll have the sack of presents there by then. We exit through the Hendersons’ koi pond.” Bill groaned. “Not the pond. Those fish are judgmental.” “They’re fish, Bill. They have no long-term memory.” “That’s what they want you to think.” He checked his watch. “Two minutes to piñata. What’s the code word if we abort?” “There is no abort. We’re committed.” Molly took a deep breath. “Remember: we’re not just thieves. We’re redistributors of joy. From the overly-joyed to the under-joyed. It’s for the greater good.” “The greater good,” Bill echoed, a little too loudly. “Shh!” A parent’s voice carried over the yard. “Okay, who wants to hit the piñata?!” “Showtime,” Molly breathed. The first child, a tiny storm of determination in a princess dress, swung wildly. Candy erupted. Kids screamed. Bill dashed, his pocket knife glinting. There was a mighty, sad *hisssssss* as the inflatable castle began to sag. In the ensuing pandemonium, Molly was a shadow, sliding under the table and emerging with a bulging garbage bag of gifts. She was halfway across the patio when Bill met her, flushed and triumphant. “Go, go, go!” They rounded the corner of the house, the koi pond glinting ahead. Bill skidded to a halt. “Uh, Molly?” Molly stopped. The pond was indeed there. But so was the golden retriever, sitting happily in the shallow water, gnawing on the biggest, shiniest present—the one that was unmistakably, catastrophically, a giant robot dinosaur. The dog looked up, tail thumping the water. It gave a joyful, bark-like burp. Bill sighed. “So much for the greater good.”
created_at"2026-03-11T23:14:45.738Z" 3/11/2026, 11:14:45 PM
model"openrouter/hunter-alpha"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1458
moderation_latency(null)
generation_time21108
tokens_prompt77
tokens_completion1250
native_tokens_prompt2111
native_tokens_completion1046
native_tokens_completion_images(null)
native_tokens_reasoning251
native_tokens_cached1984
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0
router(null)
provider_responses(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773270885-ZKasdljXVjlSKYqsWoay"
upstream_id"gen-1773270885-ZKasdljXVjlSKYqsWoay"
total_cost0
cache_discount(null)
upstream_inference_cost0
provider_name"Stealth"

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words563
0.01% Dialogue to Total Word Ratio
Ratio: 63.94%, Deviation: 13.94%
neededCleanfalse
wordsTotal574
wordsDialogue367
0.0030%