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Coinversaa Pulse

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by Coinversaa

Builder Leaderboard

builder_leaderboard
Read-onlyIdempotent

Rank Hyperliquid builders (HIP-3 dexes, frontends, bots) by exact on-chain builder-fee ledger revenue, with fill volume, users, and prior-window deltas to see who earns more or is growing.

Instructions

Builders (HIP-3 dexes, frontends, bots) ranked by exact revenue from Hyperliquid's on-chain cumulative builder-fee ledger over the requested period. Each row carries join-attributed fill volume, distinct users, and fill counts — plus the same metrics for the immediately preceding window for deltas — the builder's most common requested fee rate over the last 7d of orders (feeTenthsBp, tenths of a basis point), and builderName from a curated registry (omitted when unknown). Attributed metrics slightly undercount versus ledger revenue because trigger-order fills (stop/TP) are not yet attributed — see the response's dataNotes; the 'verified' stamp gives the ledger block this data was reconciled against. Use for 'which builders earn the most?' or 'is builder X growing?'. Ledger history begins at the fee ledger's first on-chain entry: dataNotes states that date whenever a window predates it, and data_coverage (builder_ledger) reports it. Requires Starter tier or higher.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoRows to return (max 100).
offsetNoPagination offset (window capped at 1000).
periodNoRanking window: day, week, or month. Prev-window deltas cover the same-length window immediately before.week
useToonFormatNoReturn data in compact toon format (default: true). Set to false for standard JSON.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.11.0

TDQS

A4.4/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Goes well beyond the readOnly/idempotent annotations by disclosing that attributed metrics undercount ledger revenue due to unattributed trigger-order fills, pointing to dataNotes, explaining the 'verified' stamp, and warning that ledger history begins at the first on-chain entry. This is the kind of caveat an agent cannot get from structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Dense but front-loaded: the ranking definition comes first, followed by row contents, caveats, and usage. Every sentence carries distinct information, though the middle section is heavy enough to risk readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having no output schema, the description enumerates returned fields (feeTenthsBp, builderName, prev-window metrics, dataNotes, verified stamp) and coverage behavior, giving the agent enough to interpret results correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so limit, offset, period, and useToonFormat are fully documented in the schema. The description adds response-field semantics but nothing new about the parameters themselves, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource+scope: builders ranked by exact revenue from the on-chain cumulative builder-fee ledger. It clearly distinguishes itself from siblings like builder_profile, builder_traders, and builder_fills by centering on revenue ranking.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives concrete use cases ('which builders earn the most?', 'is builder X growing?') and a prerequisite ('Requires Starter tier or higher'). It does not explicitly name alternatives or when-not to use it, so it stops short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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