Onvexia: Crypto Fundamentals, Sentiment & Onchain Tracking
Crypto fundamentals, sentiment, whale tracking and influencer call accuracy for traders and agents.
| Endpoint | https://onvexia.com/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.9 |
| Now | 66 tools · grade C (75) · pin ts_3635546353ad0dea7ee4276f97f1df71 · protocol 2025-06-18 |
| First / last listed | 2026-10-31 03:23 UTC / 2026-10-31 03:23 UTC |
| Grade over time | 2026-10-31: C (75), 66 tools |
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Tools: get_asset get_asset_scores get_asset_fundamentals get_asset_technicals get_top_galaxy_scores get_top_altranks get_correlation get_leading_indicators get_social_dominance get_topic_rank get_whale_transactions get_exchange_flows get_aspect_sentiment analyze_sentiment get_influencers get_signal_integrity get_influencer_ledger get_influencer_leaderboard search_assets get_data_coverage get_chain_coverage get_asset_platforms lookup_address list_labelled_addresses list_metrics get_metric_metadata get_metric_timeseries get_entity_flows get_metric_timeseries_multi get_metrics_batch screen_assets screener_fields get_ohlcv get_trending_assets get_entities get_sentiment_trends get_bot_detections get_coordinated_campaigns get_creator_rankings get_asset_revisions get_trending_stories get_narrative_clusters list_research_reports get_research_report resolve_ticker get_social_coverage list_nl_screens get_agent_findings run_sql get_sql_schema get_hodl_waves get_exchange_netflow get_constellation get_social_posts get_similar_posts get_asset_social_signal get_metric_revisions get_emerging_dex_pairs get_exchange_listings get_address_coverage get_address_events get_story_posts get_narrative_rotation get_ai_substance get_wrapper_basis get_disclosures
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 the tool that says so instead of guessing. params: symbol* |
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
sentiment and one moved by volume mean different things, and the
composite alone cannot params: symbol* |
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, NOT ONLY THE VALUES. Each section is
`measured`, `not_held` or `failed`, and sec params: symbol* |
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 hourly. `measured_against` names the exchange and pair every
distance was compute params: symbol*, limit |
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. Call get_asset_scores for the breakdown. params: limit |
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. params: limit |
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_indicators for
that question. params: symbol* |
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 ordering of two
series, and it can break. params: symbol* |
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
louder, not the asset getting quieter. Distinct authors is the column
that separ params: hours |
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,
where "restaking" and "AI agents" live. params: hours, limit |
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
them, and a null label means WE HAVE NO LABEL, never that the
counterparty is un params: limit, symbol |
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 own wallets — check get_entity_flows before
attributing intent. params: symbol |
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 tell them apart. params: asset* |
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 that
drove it, so a score can be checked rather than trusted. params: text* |
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 point of
keeping the two tools separate. params: asset* |
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. params: symbol* |
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 and 30d, with the Wilson lower bound and excess over BTC.
calls — the receipt params: influencer_id*, view, horizon_hours |
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 true, by the
Wilson lower bound of the hit rate (>= 20 resolved calls to rank), params: rank_by, window_days, horizon_hours |
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. params: query*, limit |
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. params: none |
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. params: none |
get_asset_platforms | Every chain an asset is deployed on, with its contract address and
token decimals. params: symbol* |
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. params: address* |
list_labelled_addresses | Browse labelled addresses, filtered by chain, entity (e.g. Binance) or
category (exchange | bridge | dex | mev | staking | mining | sanctioned). params: chain, entity, category, limit |
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.
Unavailable metrics are listed on purpose — check here before asserting
that Onvexia c params: category, available_only |
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 is where an approximate metric admits
what it approximates. params: metric* |
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", never "we do not have this metric". params: metric*, asset*, from_date, to_date, interval, aggregation |
get_entity_flows | Whale flow per labelled entity over the window. Inflow to an exchange
is distribution pressure; outflow is accumulation. params: hours, limit |
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. params: metric*, assets*, from_date, to_date, interval |
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. params: metrics*, asset* |
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 to see what fields exist and their ranges;
guessing a field name gets the whole params: filter, sort, limit |
screener_fields | Every field the screener accepts, with type and description. Call this
before building a filter rather than guessing field names. params: none |
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. params: symbol, limit |
get_trending_assets | Assets trending now by social activity, with the hype score that
separates a real move from a burst of noise. params: none |
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. params: asset* |
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. params: asset* |
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 list comes back EMPTY. An empty list here says nothing whatsoever
about how clean params: none |
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. params: none |
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
absence here is a coverage fact, not a judgement. params: limit |
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. params: symbol* |
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. params: limit |
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. params: limit |
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
asset. params: none |
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. params: symbol* |
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 adjudicated that ticker yet. params: ticker* |
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 stay uncomputable. params: band |
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. params: limit |
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. params: limit |
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. params: query* |
get_sql_schema | List every relation and column queryable via run_sql, plus the rules and what is deliberately not exposed. params: none |
get_hodl_waves | Bitcoin supply split by coin age over time — which cohorts are holding and which are moving. params: limit |
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. params: limit |
get_constellation | Asset co-mention graph — which assets are discussed together, with what was filtered out. params: limit |
get_social_posts | Collected social posts, optionally filtered by platform (bluesky, farcaster, reddit, 4chan, bitcointalk, rss). params: platform, limit |
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. params: post_id* |
get_asset_social_signal | Per-asset social signal over time. The `available` field states plainly whether we hold it. params: symbol*, days |
get_metric_revisions | Restatements of published numbers — what changed, over which period, and why. A correction is not a market move. params: limit |
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 set and raises its quality. params: min_liquidity_usd |
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. params: limit |
get_address_coverage | What we index per chain for watched addresses: what we see, what we miss, and what an empty feed actually means. params: none |
get_address_events | Events on watched addresses. Check get_address_coverage before reading an empty result as silence — below the observed USD floor, movement is invisible to us. params: limit |
get_story_posts | The individual posts a story was assembled from — 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. params: story_id* |
get_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 — RWA, tokenized equities and
treasuries, stablecoins, DePIN, perp DEXs, prediction markets, AI agents
— as well as DeFi, NFT, Gaming and the L1/L2 split.
params: days, include_legacy |
get_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. Thi params: limit |
get_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 params: limit |
get_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:
params: symbol, limit |
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