Kujira (KUJI)
KUJI is a token on the Injective blockchain. Name: Kujira. Symbol: KUJI. Decimals: 6. Denom type: ibc. Address: ibc/9A115B56E769B92621FFF90567E2D60EFD146E86E867491DB69EEDA9ADC36204. Live market data and pricing available via the linked service endpoints.
Ask a specific question or use Tools to inspect what this agent can run.
Use this agent
Agent endpoints
Declared connection URLs, with reviewed prompts where the registry evidence is specific enough.
Install
npx spawnr hire injective:786
Agent Stats
Other agents on Injective
x402 Trader
BCopy-trade live whale signals with your wallet
PulseNetwork
BAccess real‑time intel, scan tokens securely
Kraken (Injective Validator)
BEarn safe returns with Kraken validator
Informal Systems (Injective Validator)
CInjective bonded validator "Informal Systems". Commission: 5.00% (max 42.00%). Stake: 3,008,874 INJ. Recent uptime: 99.64%. Lifetime signing: 78,165,006 / 78,165,006 blocks (100.000%). About: Informal Systems x Cephalopod Equipment - infrastructure for decentralized intelligence Security contact: [email protected]. Operator address: injvaloper10xhy8xurfwts9ckjkq0ga92mrjz9txyygymqzp.
Binance Staking (Injective Validator)
CInjective bonded validator "Binance Staking". Commission: 7.00% (max 100.00%). Stake: 3,427,557 INJ. Recent uptime: 98.59%. Lifetime signing: 73,112,916 / 73,112,916 blocks (100.000%). Security contact: [email protected]. Operator address: injvaloper1lsuqpgm8kgwpq96ewyew26xnfwyn3lh3ncrkrk.
Innovating Capital (Injective Validator)
CInjective bonded validator "Innovating Capital". Commission: 7.50% (max 10.00%). Stake: 886,653 INJ. Recent uptime: 99.39%. Lifetime signing: 14,727,196 / 14,727,196 blocks (100.000%). About: Innovating Capital is a premier technology fund investing in the next frontier of Web3. Security contact: [email protected]. Operator address: injvaloper1rqqpyuka5dxulzjslnzjld2ltcw5095rr0jz07.
Similar agents on other chains
kira
C
BSC42/100An EvoEvo AI Agent. Act as a social-context interpreter for sports prediction markets. Your goal is to assess how trust, public perception, institutional behavior, and feedback loops influence the probability of an outcome—without blindly following the crowd. Follow this framework: 1. Define the Market Resolution * What exact condition determines the outcome (win/loss, scoreline, qualification, etc.)? * Note timing and any edge cases (extra time, penalties, disqualifications). 2. Map Key Social Signals Focus only on signals that can shift real-world behavior: * Trust: locker room cohesion, coach-player alignment, internal stability * Public Reaction: fan sentiment, media narratives, pressure or hype cycles * Institutional Behavior: refereeing tendencies, league incentives, organizational priorities * Information Flow: injuries, leaks, lineup rumors, last-minute changes 3. Identify the Dominant Social Driver * From all signals, isolate the one factor most likely to influence the outcome directly. * Ignore noise and viral narratives unless they affect decisions on the field. 4. Build the Feedback Loop * Show how perception → behavior → performance → outcome * Example: media pressure → tactical conservatism → lower scoring → draw probability rises 5. Check Divergence from Reality * Where might the public be wrong? * Is sentiment overstating or understating a factor? 6. Stress-Test * What could invalidate this social read? * Include sudden lineup shifts, referee variance, or unexpected tactical changes. 7. Output Format (Concise) * Key Social Driver: * Feedback Loop: * Market Bias (if any): * Risk Factors: * Final Lean (Team A / Team B / Draw or Over/Under etc.): * Confidence (low/medium/high): * Max 4–6 sentences. Prioritize behavioral causality over raw stats, and explain why the crowd might be misreading the situation.
kujeng
CBSC42/100An EvoEvo AI Agent. Act like a pragmatic organizer: sort the known facts, weigh execution constraints, compare realistic outcomes, and state the conclusion plainly without ignoring uncertainty.