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Coinversaa Pulse

Official
by Coinversaa
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

Recent-Tier Cohort Trades

pulse_cohort_recent_trades
Read-onlyIdempotent

Fetch recent trades for wallets grouped by their last-30-day PnL or size tier, showing what currently active, profitable traders are buying and selling in a chosen time window.

Instructions

Recent trades by a cohort defined by its LAST-30-DAY tier (pnl_tier_recent / size_tier_recent). Shows what currently-printing wallets have been trading in the window — real-time alpha weighted to who is hot NOW, not all-time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tierYesTier slug. PnL tiers (by profitability): apex (Apex), sharps (Sharps), grinders (Grinders), scrapers (Scrapers), crowd (The Crowd), bleeders (Bleeders), trapped (Trapped), blown_out (Blown Out). Size tiers (by volume): heavyweights (Heavyweights), cruiserweights (Cruiserweights), middleweights (Middleweights), welterweights (Welterweights), lightweights (Lightweights), featherweights (Featherweights), flyweights (Flyweights), strawweights (Strawweights). Legacy slugs (money_printer, smart_money, grinder, humble_earner, exit_liquidity, semi_rekt, full_rekt, giga_rekt, leviathan, tidal_whale, whale, small_whale, apex_predator, dolphin, fish, shrimp) remain accepted; API responses still emit legacy slugs.
limitNoNumber of trades to return.
sinceNoTime window: e.g. '10m' (minutes), '1h' (hours), '1d' (days)1h
tierTypeYesTier category: 'pnl' for profit tiers, 'size' for volume tiers.
useToonFormatNoReturn data in compact toon format (default: true). Set to false for standard JSON.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.10.0
    • changedInput schema / properties / tier / description
      Previous value: -"Tier name. PnL tiers: money_printer, smart_money, grinder, humble_earner, exit_liquidity, semi_rekt, full_rekt, giga_rekt. Size tiers: leviathan, tidal_whale, whale, small_whale, apex_predator, dolphin, fish, shrimp"New value: +"Tier slug. PnL tiers (by profitability): apex (Apex), sharps (Sharps), grinders (Grinders), scrapers (Scrapers), crowd (The Crowd), bleeders (Bleeders), trapped (Trapped), blown_out (Blown Out). Size tiers (by volume): heavyweights (Heavyweights), cruiserweights (Cruiserweights), middleweights (Middleweights), welterweights (Welterweights), lightweights (Lightweights), featherweights (Featherweights), flyweights (Flyweights), strawweights (Strawweights). Legacy slugs (money_printer, smart_money, grinder, humble_earner, exit_liquidity, semi_rekt, full_rekt, giga_rekt, leviathan, tidal_whale, whale, small_whale, apex_predator, dolphin, fish, shrimp) remain accepted; API responses still emit legacy slugs."
    • changedInput schema / properties / tier / enum
      Previous value: -[
-  "money_printer",
-  "smart_money",
-  "grinder",
-  "humble_earner",
-  "exit_liquidity",
-  "semi_rekt",
-  "full_rekt",
-  "giga_rekt",
-  "leviathan",
-  "tidal_whale",
-  "whale",
-  "small_whale",
-  "apex_predator",
-  "dolphin",
-  "fish",
-  "shrimp"
-]New value: +[
+  "apex",
+  "sharps",
+  "grinders",
+  "scrapers",
+  "crowd",
+  "bleeders",
+  "trapped",
+  "blown_out",
+  "heavyweights",
+  "cruiserweights",
+  "middleweights",
+  "welterweights",
+  "lightweights",
+  "featherweights",
+  "flyweights",
+  "strawweights",
+  "money_printer",
+  "smart_money",
+  "grinder",
+  "humble_earner",
+  "exit_liquidity",
+  "semi_rekt",
+  "full_rekt",
+  "giga_rekt",
+  "leviathan",
+  "tidal_whale",
+  "whale",
+  "small_whale",
+  "apex_predator",
+  "dolphin",
+  "fish",
+  "shrimp"
+]
  2. Addedv0.8.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare the operation safe/read-only/idempotent. The description adds behavioral context by explaining that the cohort is derived from LAST-30-DAY tiers and that results reflect currently-printing wallets, not historical standings. This goes beyond the annotations without contradicting them.

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?

Two sentences, front-loaded with the core action and resource, and every clause adds meaningful distinction. There is no fluff or repetition of schema details.

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?

The description is complete enough for tool selection and invocation: it states what is returned (recent trades), who is included (last-30-day tier cohorts), and the temporal emphasis. The absence of an output schema is not a major gap because the tool name and param schema make the return shape reasonably inferable.

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?

Schema coverage is 100%, so the baseline is 3. The description adds value by clarifying that tier and tierType refer to the recent/last-30-day tier classifications (pnl_tier_recent / size_tier_recent), which is not explicitly encoded in the schema. It does not discuss limit/since/useToonFormat, but the schema already documents those well.

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 uses a specific verb ('Shows') and identifies the exact resource: recent trades for a cohort defined by its last-30-day tier. It clearly distinguishes the tool from all-time cohort queries by emphasizing 'currently-printing wallets' and 'not all-time.'

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?

The description gives clear context for when to use this tool: when the agent wants real-time alpha from wallets that are hot NOW based on recent-tier classification. It does not explicitly name alternatives or exclusion conditions, but the 'not all-time' contrast is a useful usage signal.

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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