MCP 服务器
Onvexia — Crypto Fundamentals, Sentiment & Onchain Tracking
com.onvexia/onvexia
此 MCP 可以做什么
Provides cryptocurrency fundamentals, technical indicators, sentiment analysis, social intelligence, on-chain flows, whale tracking, token coverage, and risk signals.
功能
工具
66
工具
analyze_sentiment
Sentiment · Score arbitrary text
Score any text for crypto sentiment, tuned for crypto slang and tickers.
Takes arbitrary text you supply â 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 that
drove it, so a score can be checked rather than trusted.
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输入模式
{'type': 'object', 'title': 'analyze_sentimentArguments', 'required': ['text'], 'properties': {'text': {'type': 'string', 'title': 'Text'}}}
get_address_coverage
Coverage · Addresses
What we index per chain for watched addresses: what we see, what we miss, and what an empty feed actually means.
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输入模式
{'type': 'object', 'title': 'get_address_coverageArguments', 'properties': {}}
get_address_events
On-chain · Address events
Events on watched addresses. Check get_address_coverage before reading an empty result as silence â below the observed USD floor, movement is invisible to us.
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输入模式
{'type': 'object', 'title': 'get_address_eventsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 50}}}
get_agent_findings
Agents · Findings
What this platform's own monitoring agents are currently complaining
about â 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.
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输入模式
{'type': 'object', 'title': 'get_agent_findingsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 50}}}
get_ai_substance
Signal integrity · AI substance
Does an AI-sector project actually ship code, against how much
attention it gets.
Four states, and the fourth is not a verdict:
ships public repo with development activity in 30 days
silent public repo, no activity in 30 days
no_public_repo no repository is published for this asset
unmapped WE have not checked. This is a gap in OUR coverage
and must NEVER be reported as the project failing to
ship. RENDER sat in this state with 447 posts while
publishing code the whole time.
`dev_events_30d` is null rather than 0 for the last two states: there is
no repository to have produced a zero. `attention_without_substance` is
only ever set where the state was actually measured.
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输入模式
{'type': 'object', 'title': 'get_ai_substanceArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 40}}}
get_aspect_sentiment
Sentiment · By aspect
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 â bullish on
technology, bearish on team is a different situation from uniformly
neutral, and only this tool can tell them apart.
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输入模式
{'type': 'object', 'title': 'get_aspect_sentimentArguments', 'required': ['asset'], 'properties': {'asset': {'type': 'string', 'title': 'Asset'}}}
get_asset
Assets · Profile
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 â if the symbol is ambiguous,
resolve_ticker is the tool that says so instead of guessing.
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输入模式
{'type': 'object', 'title': 'get_assetArguments', 'required': ['symbol'], 'properties': {'symbol': {'type': 'string', 'title': 'Symbol'}}}
get_asset_fundamentals
Fundamentals · Full brief
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 â in one call.
READ THE SECTION STATES, NOT ONLY THE VALUES. Each section is
`measured`, `not_held` or `failed`, and sections the asset class cannot
have are returned separately in `not_applicable`. "This chain has no
DAO treasury" and "we could not read it" are different facts and this
response keeps them apart.
Revenue is split: `S06` is the entity's own fees, `S06b` is the total
earned by protocols deployed on a chain. The two can differ by two
orders of magnitude and only the first accrues to the token.
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输入模式
{'type': 'object', 'title': 'get_asset_fundamentalsArguments', 'required': ['symbol'], 'properties': {'symbol': {'type': 'string', 'title': 'Symbol'}}}
get_asset_platforms
Assets · Contract addresses
Every chain an asset is deployed on, with its contract address and
token decimals.
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输入模式
{'type': 'object', 'title': 'get_asset_platformsArguments', 'required': ['symbol'], 'properties': {'symbol': {'type': 'string', 'title': 'Symbol'}}}
get_asset_revisions
Assets · Revision history
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.
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输入模式
{'type': 'object', 'title': 'get_asset_revisionsArguments', 'required': ['symbol'], 'properties': {'symbol': {'type': 'string', 'title': 'Symbol'}}}
get_asset_scores
Scores · Asset breakdown
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 â a score moved by
sentiment and one moved by volume mean different things, and the
composite alone cannot tell you which happened.
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输入模式
{'type': 'object', 'title': 'get_asset_scoresArguments', 'required': ['symbol'], 'properties': {'symbol': {'type': 'string', 'title': 'Symbol'}}}
get_asset_social_signal
Social · Asset signal
Per-asset social signal over time. The `available` field states plainly whether we hold it.
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输入模式
{'type': 'object', 'title': 'get_asset_social_signalArguments', 'required': ['symbol'], 'properties': {'days': {'type': 'integer', 'title': 'Days', 'default': 30}, 'symbol': {'type': 'string', 'title': 'Symbol'}}}
get_asset_technicals
Fundamentals · Technical levels
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 â a level agreed by four charts is a different claim from one seen
on the hourly. `measured_against` names the exchange and pair every
distance was computed from, and `price_age_minutes` says how old that
price is.
Setups are GEOMETRY, not forecasts: an entry is a level cluster, a stop
is that level offset by a measured multiple of daily range, and
`rr_ratio` is computed from those prices. `status` is derived per
request â pending, in_zone or passed.
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输入模式
{'type': 'object', 'title': 'get_asset_technicalsArguments', 'required': ['symbol'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 8}, 'symbol': {'type': 'string', 'title': 'Symbol'}}}
get_bot_detections
Signal integrity · 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 list comes back EMPTY. An empty list here says nothing whatsoever
about how clean the corpus is â it means nobody has been scored yet,
and the response says so explicitly in `note`.
`coverage.accounts_scored` vs `accounts_total` is the honest number:
while the first is 0, treat this tool as reporting our coverage, not
the market's cleanliness.
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输入模式
{'type': 'object', 'title': 'get_bot_detectionsArguments', 'properties': {}}
get_chain_coverage
Coverage · Chains
Per-chain coverage â 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.
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输入模式
{'type': 'object', 'title': 'get_chain_coverageArguments', 'properties': {}}
get_constellation
On-chain · Entity graph
Asset co-mention graph â which assets are discussed together, with what was filtered out.
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输入模式
{'type': 'object', 'title': 'get_constellationArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 150}}}
get_coordinated_campaigns
Signal integrity · Coordinated campaigns
Detected coordinated posting campaigns â the same message pushed by
multiple accounts. Matching is exact-text, so this catches copypasta and
misses the same campaign reworded.
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输入模式
{'type': 'object', 'title': 'get_coordinated_campaignsArguments', 'properties': {}}
get_correlation
Analytics · Social-price 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 â
it does not say which one moved first. Use get_leading_indicators for
that question.
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输入模式
{'type': 'object', 'title': 'get_correlationArguments', 'required': ['symbol'], 'properties': {'symbol': {'type': 'string', 'title': 'Symbol'}}}
get_creator_rankings
Scores · 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 â an
absence here is a coverage fact, not a judgement.
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输入模式
{'type': 'object', 'title': 'get_creator_rankingsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 25}}}
get_data_coverage
Coverage · Data
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.
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{'type': 'object', 'title': 'get_data_coverageArguments', 'properties': {}}
get_disclosures
Fundamentals · Public disclosures
Public-record documents about issuers we track: SEC filings and
federal court dockets.
Exists because both RWA failures of 2026 were disclosed in public text
before the price moved -- RealT's tax delinquency sat in court filings
for a year, Goldfinch's borrower defaults were in governance forums
before the vote.
TWO THINGS YOU MUST NOT MISREPORT:
A null `severity` means the document was FOUND and NOT ASSESSED. It is
unjudged, not benign, and must never be summarised as "nothing
concerning".
`match_confidence: name_unverified` means the document was matched on a
NAME and may concern a different company entirely -- searching for
'RealT' returns 'Broadway White Realty'. Do not attribute an unverified
filing to an issuer without checking it.
An empty result means nothing has been found, which for a subject never
searched is not a statement about them at all.
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输入模式
{'type': 'object', 'title': 'get_disclosuresArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 50}, 'symbol': {'type': 'string', 'title': 'Symbol', 'default': ''}}}
get_emerging_dex_pairs
Market · 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 set and raises its quality.
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输入模式
{'type': 'object', 'title': 'get_emerging_dex_pairsArguments', 'properties': {'min_liquidity_usd': {'type': 'integer', 'title': 'Min Liquidity Usd', 'default': 50000}}}
get_entities
Assets · Entities
Named entities extracted from social documents about an asset â
people, organisations, products and other tickers mentioned alongside
it. Use it to find what a narrative is actually about.
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输入模式
{'type': 'object', 'title': 'get_entitiesArguments', 'required': ['asset'], 'properties': {'asset': {'type': 'string', 'title': 'Asset'}}}
get_entity_flows
On-chain · Entity flows
Whale flow per labelled entity over the window. Inflow to an exchange
is distribution pressure; outflow is accumulation.
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{'type': 'object', 'title': 'get_entity_flowsArguments', 'properties': {'hours': {'type': 'integer', 'title': 'Hours', 'default': 168}, 'limit': {'type': 'integer', 'title': 'Limit', 'default': 20}}}
get_exchange_flows
On-chain · 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 own wallets â check get_entity_flows before
attributing intent.
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输入模式
{'type': 'object', 'title': 'get_exchange_flowsArguments', 'properties': {'symbol': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Symbol', 'default': None}}}
get_exchange_listings
Market · Exchange listings
Recent exchange listing announcements â 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.
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输入模式
{'type': 'object', 'title': 'get_exchange_listingsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 40}}}
get_exchange_netflow
On-chain · Exchange netflow
Per-token flow onto and off exchanges. Inflow is distribution pressure, outflow is accumulation. net_usd where the token can be priced.
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输入模式
{'type': 'object', 'title': 'get_exchange_netflowArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 40}}}
get_hodl_waves
On-chain · HODL waves
Bitcoin supply split by coin age over time â which cohorts are holding and which are moving.
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{'type': 'object', 'title': 'get_hodl_wavesArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 260}}}
get_influencer_leaderboard
Influencer ledger · 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 â did the
call come before the move, or after it.
rank_by="accuracy": ranked by how often their price calls came true, by the
Wilson lower bound of the hit rate (>= 20 resolved calls to rank), over
`window_days` (30/90/180) judged at `horizon_hours` (24/168/720).
Reach and accuracy are different axes, and most rankings only publish
the first.
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输入模式
{'type': 'object', 'title': 'get_influencer_leaderboardArguments', 'properties': {'rank_by': {'type': 'string', 'title': 'Rank By', 'default': 'accountability'}, 'window_days': {'type': 'integer', 'title': 'Window Days', 'default': 90}, 'horizon_hours': {'type': 'integer', 'title': 'Horizon Hours', 'default': 168}}}
get_influencer_ledger
Influencer ledger · Track record
Get an influencer's track record. `view` picks one of three records:
accountability (default) â did their calls precede the move (Predictor)
or react to it (Reactor)? Hit rate and track record.
accuracy â did their price calls come true? Hit rate over 30/90/180 days
at 24h, 7d and 30d, with the Wilson lower bound and excess over BTC.
calls â the receipts: each call's post excerpt and link, entry price, and
what happened after 24h/7d/30d. `horizon_hours` (24, 168, 720) picks
which outcome the list is sorted and filtered on.
One request per call. `influencer_id` is a creator id or username.
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输入模式
{'type': 'object', 'title': 'get_influencer_ledgerArguments', 'required': ['influencer_id'], 'properties': {'view': {'type': 'string', 'title': 'View', 'default': 'accountability'}, 'horizon_hours': {'type': 'integer', 'title': 'Horizon Hours', 'default': 168}, 'influencer_id': {'type': 'string', 'title': 'Influencer Id'}}}
get_influencers
Social · Influencers by asset
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 â see get_influencer_ledger for track
record. A large account posting noise ranks here; that is the point of
keeping the two tools separate.
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输入模式
{'type': 'object', 'title': 'get_influencersArguments', 'required': ['asset'], 'properties': {'asset': {'type': 'string', 'title': 'Asset'}}}
get_leading_indicators
Analytics · 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 â it is the observed ordering of two
series, and it can break.
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输入模式
{'type': 'object', 'title': 'get_leading_indicatorsArguments', 'required': ['symbol'], 'properties': {'symbol': {'type': 'string', 'title': 'Symbol'}}}
get_metric_metadata
Metrics · 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 is where an approximate metric admits
what it approximates.
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输入模式
{'type': 'object', 'title': 'get_metric_metadataArguments', 'required': ['metric'], 'properties': {'metric': {'type': 'string', 'title': 'Metric'}}}
get_metric_revisions
Metrics · Revisions
Restatements of published numbers â what changed, over which period, and why. A correction is not a market move.
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输入模式
{'type': 'object', 'title': 'get_metric_revisionsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 50}}}
get_metrics_batch
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.
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{'type': 'object', 'title': 'get_metrics_batchArguments', 'required': ['metrics', 'asset'], 'properties': {'asset': {'type': 'string', 'title': 'Asset'}, 'metrics': {'type': 'string', 'title': 'Metrics'}}}
get_metric_timeseries
Metrics · 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 â an empty result here always means "no data in
that range", never "we do not have this metric".
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输入模式
{'type': 'object', 'title': 'get_metric_timeseriesArguments', 'required': ['metric', 'asset'], 'properties': {'asset': {'type': 'string', 'title': 'Asset'}, 'metric': {'type': 'string', 'title': 'Metric'}, 'to_date': {'type': 'string', 'title': 'To Date', 'default': 'utc_now'}, 'interval': {'type': 'string', 'title': 'Interval', 'default': '1d'}, 'from_date': {'type': 'string', 'title': 'From Date', 'default': 'utc_now-30d'}, 'aggregation': {'type': 'string', 'title': 'Aggregation', 'default': 'LAST'}}}
get_metric_timeseries_multi
Metrics · Timeseries (multi-asset)
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 â it is one round trip instead of N, and
the values are guaranteed to come from the same read.
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输入模式
{'type': 'object', 'title': 'get_metric_timeseries_multiArguments', 'required': ['metric', 'assets'], 'properties': {'assets': {'type': 'string', 'title': 'Assets'}, 'metric': {'type': 'string', 'title': 'Metric'}, 'to_date': {'type': 'string', 'title': 'To Date', 'default': 'utc_now'}, 'interval': {'type': 'string', 'title': 'Interval', 'default': '1d'}, 'from_date': {'type': 'string', 'title': 'From Date', 'default': 'utc_now-30d'}}}
get_narrative_clusters
Narrative · Clusters
The raw clusters behind the stories, without the prose â for a model
doing its own summarisation. Every cluster has >= 2 distinct authors;
near-identical posts from one account are copypasta and excluded.
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输入模式
{'type': 'object', 'title': 'get_narrative_clustersArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 25}}}
get_narrative_rotation
Narrative · Rotation
Which crypto narrative is GAINING or LOSING attention share, with a
liquidity confirmation leg.
Compares the last `days` against the equally long window immediately
before. Covers the 2026 narrative set â RWA, tokenized equities and
treasuries, stablecoins, DePIN, perp DEXs, prediction markets, AI agents
â as well as DeFi, NFT, Gaming and the L1/L2 split.
READ `vocabulary_stale` BEFORE QUOTING ANY DELTA. When true, the corpus
spans two keyword vocabularies and a narrative whose keywords were just
added will appear to be rising purely because only recent posts were
ever tested against them. That is a rotation signal manufactured by a
deploy, not by the market.
A narrative with `unconfirmed: true` has measured attention and NO
liquidity confirmation â the confirmation is absent, not zero, and the
row states why.
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输入模式
{'type': 'object', 'title': 'get_narrative_rotationArguments', 'properties': {'days': {'type': 'integer', 'title': 'Days', 'default': 7}, 'include_legacy': {'type': 'boolean', 'title': 'Include Legacy', 'default': False}}}
get_ohlcv
Market · 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 â an asset absent here has no candle source we
collect, which is not the same as having no price.
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输入模式
{'type': 'object', 'title': 'get_ohlcvArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 100}, 'symbol': {'type': 'string', 'title': 'Symbol', 'default': ''}}}
get_research_report
Research · Report
One asset's generated report. The `unavailable` field lists metrics
the report could NOT use â read it, because a report that silently omits
funding rate reads as a report about an asset with unremarkable funding.
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输入模式
{'type': 'object', 'title': 'get_research_reportArguments', 'required': ['symbol'], 'properties': {'symbol': {'type': 'string', 'title': 'Symbol'}}}
get_sentiment_trends
Sentiment · Trends
Sentiment over time for an asset, with sample size and confidence
interval. IMPORTANT: sentiment measured on few documents is unreliable â
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.
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输入模式
{'type': 'object', 'title': 'get_sentiment_trendsArguments', 'required': ['asset'], 'properties': {'asset': {'type': 'string', 'title': 'Asset'}}}
get_signal_integrity
Signal integrity · Real-vs-fake score
Get the Signal Integrity score (0-100) â is the move real or exit liquidity?
Fuses social authenticity + on-chain reality + fundamental backing, with an
Exit Liquidity Radar flag.
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输入模式
{'type': 'object', 'title': 'get_signal_integrityArguments', 'required': ['symbol'], 'properties': {'symbol': {'type': 'string', 'title': 'Symbol'}}}
get_similar_posts
Social · Similar posts
Posts nearest a given post in embedding space. Read the returned BAND, never the raw cosine â 43% of this corpus sits at 0.80-0.90 by default.
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输入模式
{'type': 'object', 'title': 'get_similar_postsArguments', 'required': ['post_id'], 'properties': {'post_id': {'type': 'integer', 'title': 'Post Id'}}}
get_social_coverage
Coverage · Social
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 stay uncomputable.
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输入模式
{'type': 'object', 'title': 'get_social_coverageArguments', 'properties': {'band': {'type': 'integer', 'title': 'Band', 'default': 300}}}
get_social_dominance
Social · Share of conversation
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 â that is the market getting
louder, not the asset getting quieter. Distinct authors is the column
that separates a real conversation from one account posting 400 times.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'get_social_dominanceArguments', 'properties': {'hours': {'type': 'integer', 'title': 'Hours', 'default': 168}}}
get_social_posts
Social · Posts
Collected social posts, optionally filtered by platform (bluesky, farcaster, reddit, 4chan, bitcointalk, rss).
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'get_social_postsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 50}, 'platform': {'type': 'string', 'title': 'Platform', 'default': ''}}}
get_sql_schema
SQL · Schema
List every relation and column queryable via run_sql, plus the rules and what is deliberately not exposed.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'get_sql_schemaArguments', 'properties': {}}
get_story_posts
Narrative · Story sources
The individual posts a story was assembled from â the receipts.
Call this whenever a story matters enough to check. A generated story is
a summary over these posts; this is how you verify it says what the
sources say rather than taking the summary on trust.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'get_story_postsArguments', 'required': ['story_id'], 'properties': {'story_id': {'type': 'integer', 'title': 'Story Id'}}}
get_top_altranks
Scores · Top by AltRank
The assets ranked best by AltRank right now â 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.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'get_top_altranksArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}}}
get_top_galaxy_scores
Scores · Top by Galaxy Score
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 â it does not
mean an asset is cheap. Call get_asset_scores for the breakdown.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'get_top_galaxy_scoresArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}}}
get_topic_rank
Social · Topic rank
Rank what the market is TALKING ABOUT â 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,
where "restaking" and "AI agents" live.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'get_topic_rankArguments', 'properties': {'hours': {'type': 'integer', 'title': 'Hours', 'default': 168}, 'limit': {'type': 'integer', 'title': 'Limit', 'default': 10}}}
get_trending_assets
Social · Trending assets
Assets trending now by social activity, with the hype score that
separates a real move from a burst of noise.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'get_trending_assetsArguments', 'properties': {}}
get_trending_stories
Narrative · 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.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'get_trending_storiesArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 20}}}
get_whale_transactions
On-chain · 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 â counterparty labels are included where we hold
them, and a null label means WE HAVE NO LABEL, never that the
counterparty is unknown or safe.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'get_whale_transactionsArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 25}, 'symbol': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Symbol', 'default': None}}}
get_wrapper_basis
Market · Wrapper basis
Cross-wrapper spread for tokenized equities: one real company, every
issuer that tokenizes it, and how far apart they trade.
SpaceX trades under five wrappers and they do not agree. Spreads run
roughly 0.1-0.9 percent between programs referencing the same share.
This is a CROSS-WRAPPER comparison, deliberately not a comparison
against the underlying stock â that needs a licensed equity feed and no
free commercially-usable one exists.
A spread is NOT free money. Each issuer carries its own credit,
redemption terms and transfer restrictions, and the cheapest wrapper is
often cheapest for a reason. Do not present it as an arbitrage.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'get_wrapper_basisArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 40}}}
list_labelled_addresses
On-chain · Labelled addresses
Browse labelled addresses, filtered by chain, entity (e.g. Binance) or
category (exchange | bridge | dex | mev | staking | mining | sanctioned).
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'list_labelled_addressesArguments', 'properties': {'chain': {'type': 'string', 'title': 'Chain', 'default': ''}, 'limit': {'type': 'integer', 'title': 'Limit', 'default': 50}, 'entity': {'type': 'string', 'title': 'Entity', 'default': ''}, 'category': {'type': 'string', 'title': 'Category', 'default': ''}}}
list_metrics
Metrics · Catalogue
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.
Unavailable metrics are listed on purpose â check here before asserting
that Onvexia can answer a question.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'list_metricsArguments', 'properties': {'category': {'type': 'string', 'title': 'Category', 'default': ''}, 'available_only': {'type': 'boolean', 'title': 'Available Only', 'default': False}}}
list_nl_screens
Screener · Saved natural-language 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.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'list_nl_screensArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 25}}}
list_research_reports
Research · Available reports
List the assets that currently have a generated research report available.
Returns the index, not the reports â 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
asset.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'list_research_reportsArguments', 'properties': {}}
lookup_address
On-chain · Address lookup
Identify a blockchain address â exchange, bridge, DEX, MEV bot, mining
pool, or OFAC-sanctioned â 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.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'lookup_addressArguments', 'required': ['address'], 'properties': {'address': {'type': 'string', 'title': 'Address'}}}
resolve_ticker
Assets · Resolve ambiguous 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 â
it means nobody has adjudicated that ticker yet.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'resolve_tickerArguments', 'required': ['ticker'], 'properties': {'ticker': {'type': 'string', 'title': 'Ticker'}}}
run_sql
SQL · Run read-only query
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.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'run_sqlArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}}}
screen_assets
Screener · Run screen
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" â assets over $1B whose
funding rate is negative. Ops: gt, gte, lt, lte, eq, ne.
Call screener_fields() first to see what fields exist and their ranges;
guessing a field name gets the whole query rejected.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'screen_assetsArguments', 'properties': {'sort': {'type': 'string', 'title': 'Sort', 'default': ''}, 'limit': {'type': 'integer', 'title': 'Limit', 'default': 50}, 'filter': {'type': 'string', 'title': 'Filter', 'default': ''}}}
screener_fields
Screener · Available fields
Every field the screener accepts, with type and description. Call this
before building a filter rather than guessing field names.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'screener_fieldsArguments', 'properties': {}}
search_assets
Assets · Search
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.
只读
可访问外部资源
幂等
输入模式
{'type': 'object', 'title': 'search_assetsArguments', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 20}, 'query': {'type': 'string', 'title': 'Query'}}}
历史
近期工具变更
已更改
get_influencer_leaderboard
2026年9月27日 02:53
已更改
get_influencer_ledger
2026年9月27日 02:53
已添加
get_disclosures
2026年9月17日 12:36
已添加
get_wrapper_basis
2026年9月17日 12:36
已添加
get_ai_substance
2026年9月17日 12:36
已添加
get_narrative_rotation
2026年9月17日 12:36
已添加
get_story_posts
2026年9月17日 12:36
已添加
get_address_events
2026年9月17日 12:36
已添加
get_address_coverage
2026年9月17日 12:36
已添加
get_exchange_listings
2026年9月17日 12:36
已添加
get_emerging_dex_pairs
2026年9月17日 12:36
已添加
get_metric_revisions
2026年9月17日 12:36
已添加
get_asset_social_signal
2026年9月17日 12:36
已添加
get_similar_posts
2026年9月17日 12:36
已添加
get_social_posts
2026年9月17日 12:36
已添加
get_constellation
2026年9月17日 12:36
已添加
get_exchange_netflow
2026年9月17日 12:36
已添加
get_hodl_waves
2026年9月17日 12:36
已添加
get_sql_schema
2026年9月17日 12:36
已添加
run_sql
2026年9月17日 12:36
已添加
get_agent_findings
2026年9月17日 12:36
已添加
list_nl_screens
2026年9月17日 12:36
已添加
get_social_coverage
2026年9月17日 12:36
已添加
resolve_ticker
2026年9月17日 12:36
已添加
get_research_report
2026年9月17日 12:36
已添加
list_research_reports
2026年9月17日 12:36
已添加
get_narrative_clusters
2026年9月17日 12:36
已添加
get_trending_stories
2026年9月17日 12:36
已添加
get_asset_revisions
2026年9月17日 12:36
已添加
get_creator_rankings
2026年9月17日 12:36
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