Hyperliquid Market Data — OHLCV, Funding Rates & Positioning (Tessera)

dev.tesseralytics/hyperliquid-data · v0.1.0 · finance-and-payments

Hyperliquid Market Data — OHLCV, Funding Rates & Positioning (Tessera) is healthy: it completed an MCP handshake in 4993 ms and exposes 9 tools. It scores 55/100.

Hyperliquid perp market data for LLMs: OHLCV, funding, open interest, positioning & forecasts.

Endpoint: https://tesseralytics.dev/mcp (streamable-http)

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Score 55/100

health17 / 25
authEase15 / 15
toolQuality15 / 15
maintenance3 / 15
adoption0 / 10
usage0 / 10
security5 / 10

Scoring v0.3, computed 2026-10-15T02:36:22.716Z.

Health history

Checked (UTC)StatusLatencyError
2026-10-14T23:35:40.915ZHealthy4993

Tools (9)

describe_datasetThe full dictionary for ONE downloadable dataset: description plus every column's type, nullability and plain-English meaning. Pass a name from list_datasets. Open — no key needed. For the fields the query tools accept, use list_fields.
list_fieldsEvery field the query tools accept, each with its meaning, unit, whether it can be missing, and which bars (1d, 1h) it exists on. Open — no key needed. Call this before query_cross_section, screen_universe or query_series. Percentile, z-score and the top_pct/bottom_pct conditions rank within the mar
query_seriesThe series for one market or a few (max 10): one row per market per interval over a trailing window, oldest first. Pick bar (1d, the default, for one row per day, or 1h on a Pro key for one row per completed hour). Answers 'is this move backed by real flow' and 'how has positioning built up'. ending
get_universeThe coverage picture: the last complete interval, how many markets are in the universe for a scope, how much history sits behind them, and how densely it is populated. Pick bar (1d, the default, or 1h on a Pro key) to describe completed days or completed hours. The range counts cover the last 7 days
funding_divergenceRank markets by how far their funding has diverged from a benchmark (default ETH) over a trailing window. Pick bar (1d, the default, or 1h on a Pro key) to read completed days or completed hours. metric=rate compares mean funding over the window; metric=cum_funding_spread compares how far a market's
list_datasetsList the downloadable datasets: one-line summary, the plan required, and the month range available. Open — no key needed. Then use describe_dataset for one dataset's columns, or list_fields for the fields the query tools accept.
query_cross_sectionRank the whole market on ONE completed interval: pick bar (1d, the default, or 1h on a Pro key), columns, an order_by field and top_n. Answers 'top markets by funding / open interest / returns on the latest day or hour' and 'what percentile is BTC on open interest'. day defaults to the last complete
screen_universeScreen the whole market on ONE completed interval with several conditions ANDed together. Pick bar (1d, the default, or 1h on a Pro key; a free key is screened at 1d). Conditions use op >, <, >=, <=, between, top_pct or bottom_pct; top_pct/bottom_pct are deciles of your eligible markets, and the liq
live_marketWhat is happening right now: mark price, current hourly funding, open interest, 24-hour traded notional and premium for up to 25 markets, taken straight from the venue's public API and stamped with the moment it was read. Use this for 'now' questions; the bar=1d and bar=1h tools answer completed int