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CoinRithm

CoinRithm/coinrithm-agent-trading

Official

Get latest prediction-market whale trades

pm_data_whales
Read-only

View recent large prediction-market trades ($1k+ notional) across Polymarket and Kalshi, with side, outcome, value, price, market question, and event. No API key required.

Instructions

Free public tape of the latest large prediction-market trades (roughly $1k+ notional) across venues, newest first (top 50): side, outcome, USD value, price, market question, and the event it printed on. Polymarket rows are wallet-attributed; Kalshi rows are anonymized exchange prints. A large print is information, not a recommendation. No API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesTrue when CoinRithm returned a successful 2xx response.
bodyNoParsed CoinRithm response body, or raw text when the response is not JSON.
httpStatusYesHTTP status returned by CoinRithm, or 0 for network errors.
ledgerStatusNoLedger write status header returned by CoinRithm, when present.
ledgerEventIdNoPrivate AgentActionEvent id returned by /api/agent/*, when present.
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. Description adds useful context: data attribution (Polymarket vs Kalshi), disclaimer that it's not a recommendation. No contradictions.

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

Conciseness5/5

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

Three sentences, each adding value: what it is, data fields, source details, and disclaimer. Front-loaded and efficient.

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?

Complete for a parameter-free tool with annotations and output schema. Explains returned fields, data sources, and usage conditions adequately.

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

Parameters4/5

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

No parameters exist. Per rules, baseline 4 for 0 params. Description does not need to add param info.

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?

The description clearly states it provides 'latest large prediction-market trades' with specific details (top 50, newest first, fields). It distinguishes from siblings like pm_data_event by focusing on whale trades.

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?

Mentions 'Free public tape' and 'No API key required', giving clear context. Does not explicitly state when not to use it vs alternatives, but the purpose is self-evident.

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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