Run: 2026-07-25-01KYD55Y614VMHAJ5Z8MAVA9JG

Run Details

Duration:
3.2s
Cost:
$0.000072
Provider:
Poolside

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.9595% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 crouched behind a dumpster, her breath fogging in the cold air. “Alright, Bill, the plan is simple. We sneak in, grab as many presents as we can carry, and vanish before anyone notices.” Bill adjusted his ski mask, one eye visible. “Simple? Molly, that’s a kindergarten birthday party. Do they even have security?” “They’ve got balloons and a clown, but no alarms. We’ll blend in. I’ll dress as a waiter—you can be a frustrated parent.” “A ‘frustrated parent’? What if they ask me to leave?” “Then you yell, ‘I need to pee!’ and run. Classic distraction.” Bill sighed. “And the presents? How many can we realistically steal?” “All of them. It’s a *children’s* party. They’ll never miss half.” He pulled out a clipboard. “I’ve mapped the gift table. It’s… surrounded by parents. We’ll need a distraction.” Molly grinned. “I’ll set off a ‘cake explosion.’ Fake blood, glitter, the works. Chaos ensues—we grab gifts, vanish.” “Or we get arrested for terrorism.” “Worth it for the loot, Bill. Now, let’s move. And if you panic, remember: it’s just a bunch of toddlers and a guy named Steve.” He nodded, reluctantly. “Steve. Right. Let’s go make history.”
created_at"2026-07-25T17:29:16.743Z" 7/25/2026, 5:29:16 PM
model"poolside/laguna-xs-2.1-20260625"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency78
moderation_latency(null)
generation_time2216
tokens_prompt75
tokens_completion608
native_tokens_prompt81
native_tokens_completion563
native_tokens_completion_images(null)
native_tokens_reasoning239
native_tokens_cached0
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)
usage0.00007242
router(null)
provider_responses
0
endpoint_id"089ec178-f6dc-4450-aff5-46f68798ce97"
id"chatcmpl-5e894630dfab400195524f27932d2aa2"
is_byokfalse
latency78
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-1785000556-YRnWU3ZbuyNZO0Lhv4vK"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785000556-LejZKXL17nJt8b9D05DC"
upstream_id"chatcmpl-5e894630dfab400195524f27932d2aa2"
total_cost0.00007242
cache_discount(null)
upstream_inference_cost0
provider_name"Poolside"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words197
0.00% Dialogue to Total Word Ratio
Ratio: 83.76%, Deviation: 73.76%
neededCleanfalse
wordsTotal197
wordsDialogue165
49.9595%