A Chinese astrology reading can give you insights about your personality traits, love and compatibility, and other aspects of your life. The Chinese zodiac chart is based on the Chinese lunar calendar and contains twelve animal signs: rat, ox, tiger, rabbit, dragon, snake, horse, sheep, monkey, rooster, dog, and pig. Your zodiac sign depends on your birth year, but also takes the Chinese calendar and Chinese New Year into account. Keen's expert Chinese astrologers can help you calculate your true animal sign. They can also give you a Chinese zodiac reading based on interpretation of the Chinese astrology charts, pillars, and your birth data.

. Once your three minutes have finished, you will be asked if you wish to continue your reading for a fee - Keen will never charge you without your permission.

If you wish to connect with your Chinese astrologer via other communication modes, you can get in touch through chat or email anytime you want. You also never need to worry about your personal identity being compromised when you get your Chinese astrology reading. Keen doesn't share your personal information with anyone, not even with the Chinese zodiac reader! Keen also offers a 

 – it's our promise to you that you will be pleased with your experience.

 Want to read more before getting your Chinese astrology reading? Keen can accommodate! Keen has a robust selection of articles, including compatibility based on animal signs and 

. There is also information about other topics, such as advice on 

 in Keen's extensive network can talk to you about any of these subjects and more. They have many specializations, including 

Chinese Astrology Readings

Listings

Gain insight for the 12 zodiac signs of Chinese astrology.

Chinese Astrology

Get insights based on your Chinese Zodiac and Astrology charts with a Chinese Astrology reading on Keen. Get a Chinese Astrology reading today!

Chinese Astrology Readings | Chinese Zodiac | Keen

Variant

Control

New User Registration Redirect

My Keen : NPR vs Particular Audience (FBM > 91)

Loyalty Program Test

Loyalty Migration

Recharge Modal Test

Loyalty Double Points Promotion

Personalization > Sort > Pre-Reg to FBM (FbmAdvisorsV2 vs. FbmAdvisorsV4)

New user Price Bucket Test

Allocation 1 - ML/FL

Personalization > Sort > FBM to FBM + 14 days (Grandfathered)

Allocation 1: TROS2/FL

Personalization > Sort > FBM to FBM + 91 days

Keen Elastic Category Rollout for Pre-FBM Users

BestMatch Category Popup

Machine Learning > Internal Recommendations v0 vs v1

Fbm14Day_PriceFilter

PaymentFlowV2

Homepage_Unauthenticated

Homepage_Unauthenticated_v2

Homepage_Unauthenticated_v4

Registration_Drawer

Variant - ios>60

ios>60

Variant - ios<60

ios<60

Keen Rewards > Ad Hoc CampaignV2 Threshold Test

Keen Rewards > Transcend Users Double Points Campaign

Keen Rewards > Churned Users Campaign

PaymentFlowV3

Keen Rewards > Post-FBM 7-Day Bonus

Chat_Versions

Personalization > Sort > Activating Users Day 1-28 (TROS2 vs. TROS3)

Personalization > Sort > Post Day 28 Users (TROS2)

Minimum_Amount_Recharge_V3

Variant - LV&MV

low_medium_value

Variant - HV

high_value

Variant - VIP

Keen Rewards > Duration Campaign

You score a one-sentence advisor match summary against the customer's query and the
matched advisor's profile, considering:
- Relevance: it names the customer's actual topic from their query.
- Faithfulness: every claim about the advisor is grounded in the profile — no invented facts.
- Gender-neutrality: NO gendered pronouns (he, she, him, her); penalise heavily if present.
- Form: one natural sentence, addresses the customer with "you"/"your", no advisor name, not cut off.
0.0 = irrelevant/hallucinated/gendered. 1.0 = excellent.

RESPONSE TO EVALUATE:
{{response_to_evaluate}}


ing-gpt-4.1-nano

Azure

You are an evaluation judge for a psychic advisor search platform. You score how well
the model's JSON analysis (the response) captures the user's raw search query, considering:
- isValid is correct (true for psychic/spiritual/emotional topics, false for off-topic).
- listingCategory and categories are the best matches for the query (or null when general).
- tone correctly reflects the user's emotional state (emotional / action / neutral).
- expandedQuery preserves the user's original intent without inventing new requests.
- intent is an accurate one-line description of what the user wants.
0.0–0.3 = wrong or misleading. 0.4–0.7 = partially correct with gaps. 0.8–1.0 = fully accurate.