Onvexia: Crypto Fundamentals, Sentiment & Onchain Tracking

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 加密货币与区块链

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://onvexia.com/mcp

claude mcp add --transport http onvexia https://onvexia.com/mcp

{
  "mcpServers": {
    "onvexia": {
      "url": "https://onvexia.com/mcp"
    }
  }
}

{
  "servers": {
    "onvexia": {
      "type": "http",
      "url": "https://onvexia.com/mcp"
    }
  }
}

https://onvexia.com/mcp

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月8日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• get_asset

  An asset's core profile by symbol: name, category and cross-system identifiers (CoinGecko id, contract addresses, chains). Start here when you have a ticker and need to be sure which asset it refers to. Tickers collide across chains — if the symbol is ambiguous, resolve_ticker is

• get_asset_scores

  An asset's Galaxy Score and AltRank, with the components behind each. Galaxy Score is a composite of social and market health on a 0-100 scale; AltRank is relative standing against the rest of the universe, where 1 is best. READ THE COMPONENT BREAKDOWN — a score moved by sentimen

• get_asset_fundamentals

  Get the full fundamental brief for an asset: market snapshot, supply and valuation, project, TVL, revenue, treasury, security, governance, unlock schedule, derivatives positioning, competitive rank, valuation ratios and a graded scorecard — in one call. READ THE SECTION STATES, N

• get_asset_technicals

  Get support and resistance merged across 1w/1d/4h/1h, per-timeframe indicators, and derived spot/long/short setups for an asset. Each level carries the timeframes that confirmed it and the method on each — a level agreed by four charts is a different claim from one seen on the ho

• get_top_galaxy_scores

  The assets with the strongest Galaxy Score right now. Galaxy Score is 0-100 and composite: social volume, engagement, sentiment and market health folded together. A high score is a statement about ATTENTION AND HEALTH, not about valuation — it does not mean an asset is cheap. Cal

• get_top_altranks

  The assets ranked best by AltRank right now — relative standing, not absolute. AltRank is a RANK: 1 is the strongest in the universe. A rising AltRank in a falling market means outperforming the fall, not going up. Pair with get_asset_scores when the distinction matters.

• get_correlation

  How closely an asset's social activity tracks its price, with the lead/lag. Correlation is not causation and this endpoint does not claim it is. A high coefficient says the two series moved together over the window — it does not say which one moved first. Use get_leading_indicato

• get_leading_indicators

  Which social and on-chain signals have historically MOVED FIRST for an asset. This is the lead/lag question that get_correlation deliberately does not answer. A lead measured over a past window is not a forecast and the response does not present it as one — it is the observed ord

• get_social_dominance

  Each asset's SHARE of total social attention over a window, with the posts, distinct authors, engagement and sentiment behind the share. Share is relative and sums across the universe, so an asset's dominance can fall while its absolute volume rises — that is the market getting l

• get_topic_rank

  Rank what the market is TALKING ABOUT — themes and narratives, not assets. Ranked by mentions weighted by engagement over the window, so a topic posted about loudly by few accounts does not outrank one discussed widely. Use get_trending_assets for tickers; this is the layer above

• get_whale_transactions

  Recent large on-chain transfers, optionally filtered to one asset. "Whale" is a SIZE threshold, not an identity. A large transfer is very often an exchange moving its own funds between wallets, which is not a market action at all — counterparty labels are included where we hold t

• get_exchange_flows

  Net movement of an asset into and out of exchange wallets. Inflows are supply arriving somewhere it can be sold; outflows are supply leaving to self-custody. The conventional reading is distribution vs accumulation, but a single large transfer can be an exchange rebalancing its o

• get_aspect_sentiment

  Split an asset's sentiment by what people are actually talking about: technology, price, team and community. The aggregate can be flat while the parts disagree sharply — bullish on technology, bearish on team is a different situation from uniformly neutral, and only this tool can

• analyze_sentiment

  Score any text for crypto sentiment, tuned for crypto slang and tickers. Takes arbitrary text you supply — it does not look anything up. General sentiment models read "this is going to zero" and "wagmi" badly; this one is fitted to the register. Returns polarity plus the terms th

• get_influencers

  The accounts driving conversation about one asset, by reach and engagement. Ranked by measured activity in our corpus, NOT by follower count, and NOT by whether they were right — see get_influencer_ledger for track record. A large account posting noise ranks here; that is the poi

• get_signal_integrity

  Get the Signal Integrity score (0-100) — is the move real or exit liquidity? Fuses social authenticity + on-chain reality + fundamental backing, with an Exit Liquidity Radar flag.

• get_influencer_ledger

  Get an influencer's track record. `view` picks one of three records: accountability (default) — did their calls precede the move (Predictor) or react to it (Reactor)? Hit rate and track record. accuracy — did their price calls come true? Hit rate over 30/90/180 days at 24h, 7d an

• get_influencer_leaderboard

  The influencer leaderboard, ranked by what people actually got RIGHT rather than by how loud they are. rank_by="accountability" (default): scored Predictor vs Reactor — did the call come before the move, or after it. rank_by="accuracy": ranked by how often their price calls came

• search_assets

  Search the whole asset universe (~1,900 assets) by symbol or name. Use this to resolve a user's loose reference into a real symbol before calling the other tools.

• get_data_coverage

  What data this platform actually holds right now: asset count, how many are priced, chains covered, labelled addresses, social corpus size, and freshness timestamps. Call this to check whether an answer is supportable before asserting it.

• get_chain_coverage

  Per-chain coverage — tokens mapped, labelled addresses, whale transactions seen, and how many were attributed to a named entity. Attribution is Etherscan-derived, so it is strong on Ethereum and sparse on other chains.

• get_asset_platforms

  Every chain an asset is deployed on, with its contract address and token decimals.

• lookup_address

  Identify a blockchain address — exchange, bridge, DEX, MEV bot, mining pool, or OFAC-sanctioned — with the source and confidence of each label. IMPORTANT: `known: false` means no label is held. It does NOT mean the address is clean or unflagged.

• list_labelled_addresses

  Browse labelled addresses, filtered by chain, entity (e.g. Binance) or category (exchange | bridge | dex | mev | staking | mining | sanctioned).

• list_metrics

  List every metric Onvexia knows, with its parity and caveats. parity=exact means we compute it the way Santiment does; approximate means same concept but different coverage or method (read the caveat before relying on the number); unavailable means we do NOT serve it yet. Unavail

• get_metric_metadata

  Describe one metric before you use it: parity, category, minimum interval and any caveat attached to it. CALL THIS BEFORE get_metric_timeseries if the metric is unfamiliar. The minimum interval tells you the finest resolution that is real rather than interpolated, and the caveat

• get_metric_timeseries

  Timeseries for any available metric on any asset. Accepts Santiment-style relative dates ("utc_now-7d") as well as ISO timestamps. If the metric is not available this returns an error naming it rather than an empty series — an empty result here always means "no data in that range

• get_entity_flows

  Whale flow per labelled entity over the window. Inflow to an exchange is distribution pressure; outflow is accumulation.

• get_metric_timeseries_multi

  Timeseries for ONE metric across MANY assets in a single call. `assets` is comma-separated (e.g. "BTC,ETH,SOL"). Prefer this over looping get_metric_timeseries — it is one round trip instead of N, and the values are guaranteed to come from the same read.

• get_metrics_batch

  Latest value of MANY metrics for ONE asset in a single call. `metrics` is comma-separated. The mirror of get_metric_timeseries_multi.

• screen_assets

  Filter the whole asset universe server-side and return the matches. `filter` is comma-separated `field:op:value` terms, e.g. "market_cap:gt:1000000000,funding_rate:lt:0" — assets over $1B whose funding rate is negative. Ops: gt, gte, lt, lte, eq, ne. Call screener_fields() first

• screener_fields

  Every field the screener accepts, with type and description. Call this before building a filter rather than guessing field names.

• get_ohlcv

  Daily candles (open/high/low/close/volume) for an asset, with the venue they came from. Coverage is bounded by which assets have a USDT pair on Binance or Bybit — an asset absent here has no candle source we collect, which is not the same as having no price.

• get_trending_assets

  Assets trending now by social activity, with the hype score that separates a real move from a burst of noise.

• get_entities

  Named entities extracted from social documents about an asset — people, organisations, products and other tickers mentioned alongside it. Use it to find what a narrative is actually about.

• get_sentiment_trends

  Sentiment over time for an asset, with sample size and confidence interval. IMPORTANT: sentiment measured on few documents is unreliable — our own bootstrap put the direction wrong 35.6% of the time at n=1 and 9.5% at n=20. Read n before quoting a direction.

• get_bot_detections

  Accounts flagged as automated or coordinated, with the behavioural evidence. Volume from these should not be read as organic attention. READ `coverage` AND `note` BEFORE YOU READ THE LIST. No scorer is currently running, so `bot_probability` is NULL for every account and this lis

• get_coordinated_campaigns

  Detected coordinated posting campaigns — the same message pushed by multiple accounts. Matching is exact-text, so this catches copypasta and misses the same campaign reworded.

• get_creator_rankings

  Rank social creators across the whole corpus by measured influence. Corpus-wide, unlike get_influencers which is scoped to one asset. Influence is computed from engagement our collectors actually observed, so a creator we do not ingest is absent rather than ranked low — an absenc

• get_asset_revisions

  Metrics for this asset that CHANGED after they were first published, with the old value, the new one and why. An agent that quoted an earlier number can find out here that it moved.

• get_trending_stories

  Current narratives, each an LLM summary of a CLUSTER of posts rather than a single document. Read author_count before quoting one: a high post_count with a low author_count is one person repeating themselves, not a narrative. These are machine summaries, not edited articles.

• get_narrative_clusters

  The raw clusters behind the stories, without the prose — for a model doing its own summarisation. Every cluster has >= 2 distinct authors; near-identical posts from one account are copypasta and excluded.

• list_research_reports

  List the assets that currently have a generated research report available. Returns the index, not the reports — call get_research_report with a symbol for the body. An asset missing from this list has not been written up; that is a statement about our coverage, not about the asse

• get_research_report

  One asset's generated report. The `unavailable` field lists metrics the report could NOT use — read it, because a report that silently omits funding rate reads as a report about an asset with unremarkable funding.

• resolve_ticker

  Does a bare ticker actually mean the crypto asset? verdict 'crypto' means mentions are about the asset; 'equity'/'other' means the bare word is dominated by something else (TIA is Spanish 'tia'; GRT collides with 'graph'). A 404 is NOT a clean bill of health — it means nobody has

• get_social_coverage

  How many assets actually clear the document floor that makes each social metric computable. Call this BEFORE quoting sentiment for an asset. A large corpus total does not mean sentiment works everywhere: attention is a power law and the documents pile onto BTC, so most assets sta

• list_nl_screens

  Previously compiled natural-language screens: the English somebody wrote and the filter it compiled to, INCLUDING refusals. Useful as worked examples of the screener's filter grammar before you write one.

• get_agent_findings

  What this platform's own monitoring agents are currently complaining about — dead collectors, stale data streams, coverage drops. Worth checking before relying on a number: a stream flagged stale here is still being served, it is just old.

• run_sql

  Run a read-only SELECT against the platform's data. One statement, 15s timeout, 10,000-row cap; truncation is always reported. Call get_sql_schema first for the queryable relations.

• get_sql_schema

  List every relation and column queryable via run_sql, plus the rules and what is deliberately not exposed.

• get_hodl_waves

  Bitcoin supply split by coin age over time — which cohorts are holding and which are moving.

• get_exchange_netflow

  Per-token flow onto and off exchanges. Inflow is distribution pressure, outflow is accumulation. net_usd where the token can be priced.

• get_constellation

  Asset co-mention graph — which assets are discussed together, with what was filtered out.

• get_social_posts

  Collected social posts, optionally filtered by platform (bluesky, farcaster, reddit, 4chan, bitcointalk, rss).

• get_similar_posts

  Posts nearest a given post in embedding space. Read the returned BAND, never the raw cosine — 43% of this corpus sits at 0.80-0.90 by default.

• get_asset_social_signal

  Per-asset social signal over time. The `available` field states plainly whether we hold it.

• get_metric_revisions

  Restatements of published numbers — what changed, over which period, and why. A correction is not a market move.

• get_emerging_dex_pairs

  Newly created DEX pairs above a USD liquidity floor. THE FLOOR IS RETURNED IN THE RESPONSE, and it is load-bearing: this is the long tail where most pairs are rugs or noise, and the floor is the only thing separating a signal from a list of scams. Raising it shrinks the result se

• get_exchange_listings

  Recent exchange listing announcements — an asset being added to a venue. A listing is an ATTENTION event, not a fundamental one: it changes who can buy, not what the project is worth. Use it to explain a volume or social spike, not as a valuation input.

• get_address_coverage

  What we index per chain for watched addresses: what we see, what we miss, and what an empty feed actually means.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

• ✓ 通过

  作者与仓库一致

  注册名称已通过域名 onvexia.com 验证（注册中心会核实域名所有权）

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 874 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 60 个工具描述，未发现针对 AI 的隐藏指令

与“加密货币与区块链”中的其他服务器比较i

• 星标数多于此分类中其他 1619 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 1619 个服务器的 58% 更新
• 基础检查结果等于或优于此分类中其他 1619 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

claude mcp add --transport http onvexia https://onvexia.com/mcp \

{

npx -y @smithery/cli install farazgr8007/onvexia

$ curl -s -X POST https://onvexia.com/mcp \

export X402_CLIENT_PRIVATE_KEY=0x...   # a BURNER wallet, never a treasury key