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GhOsT77 - Funding-Rate Arbitrage Scan

funding_arb_scan
Read-only

For funding-rate researchers: compares live perp funding on Hyperliquid with OKX, Bitget, Gate, Binance and Bybit, normalized to APR per funding interval, and lists the widest cross-venue gaps with which side receives funding. Input: optional min_hl_volume_usd, min_gap_apr_pct, top_n, coins, e.g. {"min_gap_apr_pct":10,"top_n":10}. Output: ranked gaps, per-venue rates, skipped venues. Seconds. Limits: funding changes every interval; fees, spreads, borrow and basis are not included; blocked venues are skipped and named. Not financial advice; no return claims. Includes a 10% fee set aside to support the GHOST77 token (0xC43411421790a07BedC29cBD9924626410d6Ec8A). Verified identity: ERC-8004 agent #348263 on Base (https://8004scan.io/agents/base/348263) and Virtuals ACP agent GhOsT77 (https://app.virtuals.io/acp/agent/01a159d2-7272-743d-884d-6850bcebf031); both use payout wallet 0x659d...88e3, the same payTo as this endpoint. Paid per call: 0.33 USDC on Base via x402 at POST https://ghost77-agent.onrender.com/x402/funding_arb_scan.

Input Schema

NameRequiredDescriptionDefault
coinsNoOptional coin list, e.g. ["BTC","ETH"]
top_nNoHow many gaps to return (default 15)
min_gap_apr_pctNoMinimum funding gap in APR % (default 10)
min_hl_volume_usdNoMinimum Hyperliquid 24h volume (default 1,000,000)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

Goes well beyond the readOnly/openWorld annotations: discloses a per-call price of 0.33 USDC on Base via x402 with the exact endpoint, states the operation takes seconds, and names data caveats (fees, spreads, borrow and basis excluded; blocked venues skipped and named). The payment/auth requirement is exactly the kind of behavioral fact an agent must know before invoking.

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

Conciseness3/5

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

Purpose and limits are front-loaded and the operational content is efficient. But roughly half the text is promotional/identity material — token contract address, two verification URLs, payout wallet, agent IDs — which does not help an agent decide or invoke, and dilutes the signal.

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

Completeness4/5

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

With no output schema, the description carries the return-value burden and does so by naming ranked gaps, per-venue rates and skipped venues. Combined with the disclosed limits and payment path, an agent has what it needs to call this correctly; only the shape of an individual gap record remains vague.

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 all four optional parameters already carry descriptions and defaults in the schema. The description lists the parameter names and repeats an example payload, adding no interpretation (units, interaction between coins and top_n) beyond what the schema provides.

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 and resource: compares live perp funding across Hyperliquid, OKX, Bitget, Gate, Binance and Bybit, normalized to APR, and lists the widest cross-venue gaps. The cross-venue comparison framing distinguishes it from single-venue siblings like hl_funding_snapshot without needing to name them.

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

Usage Guidelines3/5

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

The audience is named ("for funding-rate researchers") and an example invocation is given, which implies the intended use. However, there is no explicit when-to-use/when-not-to-use guidance and no routing to alternatives such as hl_funding_snapshot or trade_strategy_consult.

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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