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pumpdata

base_rate

How often it happens anyway. How many coins first traded inside a market-cap band in a window, how many of those then reached 2x, 5x, 10x and 20x within 3 h, and the median peak. A crossing is a coin's first trade with a market cap inside the band (a coin that jumps over the band in one trade has none); the peak is the highest market cap, curve or pool, in the 3 h after it; USD is at the SOL price of the trade's hour. $0.005 a call, USDC on Solana over x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYeswindow end; a crossing needs its 3 h after, so an end under 3 h before the data's as-of is cut
bandYesmarket-cap band in USD, e.g. 15k-28k; each edge snaps to the nearest of 5k, 10k, 15k, 20k, 28k, 40k, 60k, 100k, 250k, 1000k, and the answer says the band used
fromYeswindow start, ISO 8601 UTC
venueNodefault any
paymentNothe x402 PAYMENT-SIGNATURE value for this exact call (USDC on Solana). Leave it out to get the offer: the price, the payee and the network come back as the error content and as _meta['payment-required'].

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose meaningful behavior beyond the schema: the cost ($0.005 a call, USDC on Solana over x402) and the fact that omitting payment returns an offer. However, it says nothing about read-only nature, rate limits, or response shape, leaving real gaps for a zero-annotation tool.

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?

The text is compact and information-dense, but it is poorly front-loaded: the vague opener 'How often it happens anyway' delays the actual purpose, and the definitional clauses are crammed into one run-on sentence. Size is reasonable, structure is not.

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?

For a 5-parameter tool with no output schema, the description explains the metrics returned (counts, multiples, median peak) and the payment flow, covering most of what an agent needs. It is close to complete, with only the absence of usage context and rate-limit details holding it back.

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 the schema already documents band snapping, window bounds, the venue enum, and the payment signature. The description adds definitional context ('crossing', 'peak', the 3h after-window, USD at SOL price) that reinforces but does not extend the schema, so the baseline 3 applies.

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

Purpose4/5

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

The description states concretely what is computed: how many coins first traded inside a market-cap band in a window, how many reached 2x/5x/10x/20x within 3h, and the median peak. This is specific enough to distinguish it from the sibling tools (launch_record, replay, wallet_records), though the opening sentence 'How often it happens anyway' is vague filler before the real statement.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus the siblings, nor any stated prerequisites beyond the payment mechanics. The description implies it is an analytics/base-rate query but never says under what circumstances an agent should reach for it over replay or launch_record.

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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