Run: 2026-07-25-01KYD6JDD4W6AXDXRP1VZ768RK

Run Details

Duration:
5.2s
Cost:
$0.000102
Provider:
Poolside

Evaluation summary

Score Evaluator
Details Link
99.74% Matches word count (details)
82.86% Dialogue to Total Word Ratio (details)
91.3000% 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 dumpster, her trench coat flapping in the breeze. “Alright, Bill, the Henderson’s party starts at six. We need to be in and out before the clown starts juggling flaming torches.” Bill adjusted his ski mask, which was clearly too big for his face. “Six o’clock? What if the cake is a decoy? I’ve seen *Sesame Street* episodes where the cake’s a trap.” “It’s a *children’s party*, not a spy thriller. We’re after the presents, not defusing bombs.” “Still. What if the auntie who bakes those cookies is actually a hitwoman?” “Since when do you care about Aunt Mildred’s baking?” “Point taken. So how do we get past the bouncers? Or… wait, do they even have bouncers at a *three-year-old’s* party?” Molly smirked. “They’ve got a bounce house. That’s our distraction. You start a stampede toward it, I’ll grab the gift table.” “What if the kids mistake me for a literal monster?” “Then scream like a banshee. Works every time.” “And the exit?” “Achoo!” Molly fake-coughed dramatically. “Pollen count’s through the roof. Natural cover.” Bill nodded slowly. “Brilliant. We’re geniuses.” “Don’t forget the unicorn piñata. That’s our backup plan.” “Meaning if the first plan fails, we beat it with sticks?” “Precisely.”
created_at"2026-07-25T17:53:34.126Z" 7/25/2026, 5:53:34 PM
model"poolside/laguna-xs-2.1-20260625"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency80
moderation_latency(null)
generation_time4464
tokens_prompt75
tokens_completion887
native_tokens_prompt81
native_tokens_completion824
native_tokens_completion_images(null)
native_tokens_reasoning468
native_tokens_cached64
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)
usage0.00010182
router(null)
provider_responses
0
endpoint_id"089ec178-f6dc-4450-aff5-46f68798ce97"
id"chatcmpl-4355247c5291467a827ebe4cd74ba8cd"
is_byokfalse
latency80
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-1785002014-DWcfzTHV0Tuno8ZoDziq"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785002014-Jme0c31UWcRwaALbZ65i"
upstream_id"chatcmpl-4355247c5291467a827ebe4cd74ba8cd"
total_cost0.00010182
cache_discount0.0000032
upstream_inference_cost0
provider_name"Poolside"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
99.74% Matches word count n/a
neededCleanfalse
words204
82.86% Dialogue to Total Word Ratio
Ratio: 83.41%, Deviation: 6.59%
neededCleanfalse
wordsTotal205
wordsDialogue171
91.3000%