Run: 2026-05-31-01KSYX9PNHR3YCSKGYBRF7583B

Run Details

Duration:
21.5s
Cost:
$0.028815
Provider:
Anthropic

Evaluation summary

Score Evaluator
Details Link
98.71% Matches word count (details)
3.51% Dialogue to Total Word Ratio (details)
51.1104% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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 spread the crayon-drawn map across the table and tapped it with one finger. "This is the perimeter," she said. "Bouncy castle to the north, snack table to the east, and a clown patrolling the western flank." Bill leaned in, squinting. "A clown? You didn't say anything about a clown." "His name is Mr. Giggles. He's the one variable I can't predict." "I hate clowns, Molly. You know I hate clowns." "Everybody hates clowns. That's what makes him dangerous." She pulled a juice box toward her and stabbed the straw in. "Okay. We breach at fourteen-hundred hours, right after the pin-the-tail-on-the-donkey." Bill folded his arms. "Why then?" "Because they'll be blindfolded, Bill. An entire room of distracted children, spinning in circles. We walk in, grab the loot pile, walk out." "And the parents?" "Sugar-comatose by then. They've been on their feet since nine. By two o'clock, the parents are basically furniture." Bill scratched his chin. "What about the birthday kid?" "Tcommy. Turning seven. He's the brains of the operation, so we neutralize him first." "Neutralize a seven-year-old?" "With cake," Molly said, holding up a small bag. "Extra frosting. He gets one slice, he's down for the count. Trust me, I've studied his patterns." Bill sat back, unconvinced. "I don't love it. Last job you said the dog was 'basically furniture' too, and I lost a trouser leg." "That was a Rottweiler, Bill. This is a labradoodle named Princess Sparkles. Apples and oranges." "And the presents? How big are we talking?" Molly's eyes gleamed. "Word on the street is the kid's grandfather is loaded. We're looking at a deluxe LEGO set, a remote-control helicopter, and—" she paused dramatically, "—a possible Nintendo." Bill whistled low. "A Nintendo. That's a clean retirement, that is." "We split it sixty-forty." "Sixty to me?" "Sixty to me. I made the map." "It's in crayon, Molly!" "It's an artistic choice. It blends in with the environment." She tapped the table again. "Now. You go in dressed as the magician they hired. I'll handle crowd control." Bill blinked. "I can't do magic." "You don't have to. Pull a coin out of an ear, wave a stick around, the kids'll lose their minds. Meanwhile I'm loading presents into the van." "And if the real magician shows up?" Molly smiled. "He won't. I booked him for a party across town. Different child entirely. He's currently driving to the wrong address as we speak." Bill stared at her for a long moment, then slowly nodded. "You know, when you lay it all out like that, it almost sounds—" "Genius?" "I was going to say 'illegal,' but sure." "It's a children's party, Bill. What's the worst that can happen?" Bill picked up a tiny paper hat from the table and turned it over in his hands. "Famous last words," he muttered, and pulled the elastic strap under his chin. "For the record, if that clown so much as looks at me, the deal's off." "Noted," Molly said. "Now grab the balloons. We've got a party to crash."
created_at"2026-05-31T11:39:22.173Z" 5/31/2026, 11:39:22 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1007
moderation_latency(null)
generation_time21439
tokens_prompt77
tokens_completion803
native_tokens_prompt93
native_tokens_completion1134
native_tokens_completion_images(null)
native_tokens_reasoning0
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"end_turn"
service_tier"default"
usage0.028815
router(null)
provider_responses
0
endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_01V9fYC4B5WaWo1K3CKsMBa2"
is_byokfalse
latency1007
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1780227562-enYU8JOINvq7JiQZLuln"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1780227562-lDasaUN1DNQXR4Bw4Gng"
upstream_id"msg_01V9fYC4B5WaWo1K3CKsMBa2"
total_cost0.028815
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
98.71% Matches word count n/a
neededCleanfalse
words506
3.51% Dialogue to Total Word Ratio
Ratio: 78.19%, Deviation: 8.19%
neededCleanfalse
wordsTotal518
wordsDialogue405
51.1104%