MCP servercom.onvexia/onvexia

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 r

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

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.

What this platform's own monitoring agents are currently complaining about — dead collectors, stale data streams, coverage drops. Worth checking before relying on

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 re

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 sha

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 ne

Get the full fundamental brief for an asset: market snapshot, supply and valuation, project, TVL, revenue, treasury, security, governance, unlock schedule, derivati

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

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 he

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

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

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

Accounts flagged as automated or coordinated, with the behavioural evidence. Volume from these should not be read as organic attention. READ `coverage` AND `note`

Per-chain coverage — tokens mapped, labelled addresses, whale transactions seen, and how many were attributed to a named entity. Attribution is Etherscan-derived, s

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

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

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

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 en

What data this platform actually holds right now: asset count, how many are priced, chains covered, labelled addresses, social corpus size, and freshness timestamps

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

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

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

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

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 c

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 t

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

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

The influencer leaderboard, ranked by what people actually got RIGHT rather than by how loud they are. rank_by="accountability" (default): scored Predictor vs Reac

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 (Reac

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 th

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 le

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 un

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

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 t

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 — i

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

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

Which crypto narrative is GAINING or LOSING attention share, with a liquidity confirmation leg. Compares the last `days` against the equally long window immediatel

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 — a

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

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

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 Liquid

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.

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

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

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

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

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

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

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.

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 loudl

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

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

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

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

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

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

Previously compiled natural-language screens: the English somebody wrote and the filter it compiled to, INCLUDING refusals. Useful as worked examples of the screene

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

Identify a blockchain address — exchange, bridge, DEX, MEV bot, mining pool, or OFAC-sanctioned — with the source and confidence of each label. IMPORTANT: `known: f

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 someth

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

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

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

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.