Run: 2026-07-25-01KYD5A84F7VKHVM5XGWZ3B9BJ

Run Details

Duration:
3.8s
Cost:
$0.000085
Provider:
Poolside

Evaluation summary

Score Evaluator
Details Link
93.65% Matches word count (details)
84.27% Dialogue to Total Word Ratio (details)
88.9598% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
Molly leaned against a graffiti-covered dumpster, her voice a conspiratorial whisper. "Okay, Bill, listen up. The Smiths’ backyard bash starts at three. We hit it at three-fifteen." Bill adjusted his hat, squinting at her. "Three-fifteen? What, we’re waiting for the sugar rush to peak?" "Exactly. Parents are busy chasing toddlers, and the presents are in the garage—locked, but not *baby-proofed*. I’ve got a friend with a lockpick set." "A friend who’s also a convicted felon?" Bill raised an eyebrow. "Details, Bill. Details." Molly pulled out a crumpled map. "Garage door code is 4-7-2. I hacked their smart lock app. Easy." Bill snorted. "You *hacked* a smart lock? What’s next, a drone to distract the dog?" "Genius, actually. I’ll deploy the drone—call it ‘Sir Barksalot’—while I slip in. You create a distraction at the gate. Maybe dressed as a delivery guy?" "A *delivery guy* who’s clearly not holding a pizza?" "Exactly! They’ll assume it’s a mix-up. Parents are confused, kids are screaming, and we’re in and out." "And the presents? You can’t just grab a sack and run." Molly grinned. "We’ll use the garage’s utility truck. Fake a breakdown, load up, and vanish before anyone notices." Bill sighed. "And if we get caught?" "Then we blame the dog."
created_at"2026-07-25T17:31:38.009Z" 7/25/2026, 5:31:38 PM
model"poolside/laguna-xs-2.1-20260625"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency75
moderation_latency(null)
generation_time2794
tokens_prompt75
tokens_completion718
native_tokens_prompt81
native_tokens_completion673
native_tokens_completion_images(null)
native_tokens_reasoning323
native_tokens_cached16
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00008514
router(null)
provider_responses
0
endpoint_id"089ec178-f6dc-4450-aff5-46f68798ce97"
id"chatcmpl-4a850408888c4b90b9c96edca99237bd"
is_byokfalse
latency75
model_permaslug"poolside/laguna-xs-2.1-20260625"
provider_name"Poolside"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785000698-3Khdvg0AuzlKIk0iPKoU"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785000698-T3rxExA2QXwzKYOO33Uw"
upstream_id"chatcmpl-4a850408888c4b90b9c96edca99237bd"
total_cost0.00008514
cache_discount8e-7
upstream_inference_cost0
provider_name"Poolside"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
93.65% Matches word count n/a
neededCleanfalse
words209
84.27% Dialogue to Total Word Ratio
Ratio: 83.57%, Deviation: 6.43%
neededCleanfalse
wordsTotal213
wordsDialogue178
88.9598%