Research, Analysis & Cost

Q1: What should I do if Minara’s answer has factual errors or analyzes the wrong token?

• Factual errors (e.g., price, volume, TVL)

If you notice incorrect numbers or inconsistent metrics, you can ask directly:

“The BTC price you gave me is wrong. Please re-fetch and analyze again.”

Minara aggregates data from multiple providers (CoinMarketCap, DeFiLlama, DexScreener, etc.), so short-term deviations may occur—especially for new or low-liquidity tokens.

Always cross-check key values such as price, liquidity, and market cap across at least two sources before making investment decisions.

• Wrong crypto asset or reasoning

If Minara analyzes or recommends the wrong token/NFT with a similar name, or if the reasoning seems inconsistent with the data, it may be due to one of the following:

• Ambiguous asset names — multiple tokens share the same ticker across different chains, and the prompt do not clarify the chain and addresses.

• Limited or unsupported data sources — Minara may not have sufficient or relevant market data but still attempts to generate an answer.

• Scenario-specific bugs — certain edge cases or provider issues can cause temporary mismatches between data and reasoning.

What you can do:

• Verify the contract address and chain shown in Minara’s response.

• Check the reasoning panel (click “Cooking completed”) to confirm that the data sources and timestamps are accurate.

• Then ask again explicitly:

  “Re-analyze using only the token at <contract> on <chain>.”

If Minara’s second answer is still inaccurate, please share the chat link and open a ticket on Discord. Our team will review the reasoning process, correct any provider or logic-level errors, and give you credit refund.

Q2: What if Minara’s answer doesn’t match my expectation (e.g. market interpretation)?

If the analysis or interpretation doesn’t match your view, you can prompt Minara to reconsider the query.

For example:

• You asked Minara to analyze the current BTC market. Minara concluded it’s bullish, but you believe it’s bearish and her reasoning didn’t convince you. The key is how you follow up:

✅ Good practice:

• Ask for multi-angle validation

“Re-analyze BTC and show how each signal supports or contradicts a bullish/bearish view.”

• Compare plausible alternatives side-by-side

“Please give me both sides: what would make the market look bullish, and what would make it look bearish? Then tell me which one seems stronger right now.”

This way, Minara is guided to re-check the reasoning process instead of just aligning with your opinion.

❌ Wrong practice:

“I don’t think that’s right. I believe BTC is already bearish.”

(Minara may simply agree with you, which can bias her reasoning.)

Q3: Why did this query use more credits, and how can I control spend?

Why credits can spike? Credits reflect actual work performed: LLM processing plus data fan-out (more providers/chains/time windows) and any extras like Deep Research or Data-Visualization (chart generation).

How to keep costs predictable?

• Review active modes before you run: turn off Deep Research and Data-Visualization when you don’t need them.

• If using Data-Visualization: avoid selecting extra “preferred charts” or advanced chart packs—stick to the default/auto option or disable charts when a visual isn’t required.

• Avoid stacking heavy modes together: e.g., running Deep Research and Data-Visualization at the same time.

Think the charge is abnormal?

• Share the chat link on Discord. We’ll audit the run; if it’s caused by a system issue, we’ll adjust or refund credits.

Q4. What kind of data can Minara analyze?

Minara has powerful cross-domain data analysis capabilities. She can track core data like on-chain transactions, token holdings, KOL copy-trading, and DeFi protocol yields. Additionally, she analyzes price trends, fund flows, and smart contract deployment signals. Minara also supports interlinked analysis with crypto-related U.S. stocks (e.g., Coinbase, MicroStrategy) and macro-market trends.

Minara’s analysis includes but is not limited to:

• On-chain behavior analysis: wallet interactions, capital flows, degen behavior identification, etc.

• Market dynamics: token price trends, stock movements, trading depth, position structure, liquidation data, etc.

• KOL & community sentiment: topic heat, sentiment fluctuations, hot topic clustering on social media platforms (X, Telegram, etc.)

• Airdrops & new projects: airdrop hype, token issuance monitoring, project popularity changes, etc.

Minara doesn’t rely on web searches for insights but integrates over 50 leading data sources via APIs (e.g., Arkham, CoinMarketCap, Glassnode, NFTGo, DeFiLlama). This enables you to obtain actionable Web3-related insights through natural language conversation.

Q5. How to verify Minara's information sources?

Minara is committed to providing transparent and verifiable information. All key data and conclusions in the analysis processes are labeled with specific sources—you can click links to view the original data. Real-time data like price and market cap will show the timestamp and API source. News and social media info will include original links for full context. If you have doubts about the accuracy of any information, ask "Where is this data from?" and Minara will explain in detail. We encourage critical thinking—especially for investment-critical data. Cross-verifying from multiple sources ensures accuracy and timeliness.