Run: 2026-05-29-01KSSK30660H9DREATBK3T7S5P

Run Details

Duration:
10.3s
Cost:
$0.012590
Provider:
Anthropic

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
66.26% Dialogue to Total Word Ratio (details)
83.1276% 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
"So we're really doing this?" Bill asked. "Stealing presents from a kid's party? Absolutely," Molly said. "That's low. Even for us." "You robbed a nursing home last Tuesday." "They had excellent jewelry. This is different. These are children." "Spoiled children. The Hendersons rent ponies, Bill. Ponies." "What's the plan?" "You dress as a clown. I'll be the magician." "Why do I have to be the clown?" "Because you've got the face for it." "That's hurtful." "You'll distract the kids with balloon animals while I make the presents disappear." "I can't make balloon animals." "Then make balloon blobs. Children are stupid, they won't notice." "And the loot?" "We stuff everything into my magician's trunk. Then I announce my grand finale, the vanishing act, and we vanish." "With forty birthday presents." "Now you're getting it." "What if there's cake?" "What about it?" "I want some." "Bill, we're committing a crime, not attending a party." "A man can multitask." "Fine. Grab cake. But only after the presents are secured." "Deal. One question." "What?" "What if the birthday kid cries?" "Then we've succeeded. Tears mean we got everything." "You're a monster, Molly." "I'm a professional. Now put on the nose." "It squeaks." "That's the point."
created_at"2026-05-29T10:04:44.625Z" 5/29/2026, 10:04:44 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1813
moderation_latency(null)
generation_time10303
tokens_prompt77
tokens_completion367
native_tokens_prompt93
native_tokens_completion485
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"
usage0.01259
router(null)
provider_responses
0
endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_01WxJhEC7UcpAKEpBkif1XMK"
is_byokfalse
latency1813
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-1780049084-na92mvsL0CmC155qZNTX"
session_id(null)
api_type"completions"
id"gen-1780049084-3hvLtx6GNw1WqT8d7VZV"
upstream_id"msg_01WxJhEC7UcpAKEpBkif1XMK"
total_cost0.01259
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words201
66.26% Dialogue to Total Word Ratio
Ratio: 98.01%, Deviation: 8.01%
neededCleanfalse
wordsTotal201
wordsDialogue197
83.1276%