nft-valuator_skill

This skill estimates NFT value and rarity using OpenSea and Blur data, delivering floor price, rarity ranking, and historical trends.

Python

2.6k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

3 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill nft-valuator

_meta.json286 B
SKILL.md542 B

Overview

This skill provides fast NFT valuation and rarity analysis using OpenSea and Blur data sources. It returns floor price, rarity rank, recent price movements, transaction history, and basic profit/loss on holdings. The tool is suited for collectors and traders who need quick, data-driven estimates and rarity context.

How this skill works

The skill fetches marketplace data from OpenSea and Blur, computes a floor price estimate and recent price changes, and cross-references metadata to calculate rarity ranks. It also aggregates historical sale records and can compute simple holding P/L based on acquisition price. Note: the service may apply a small per-call fee (for example, 0.001 USDT) depending on deployment.

When to use it

Before placing a bid or listing an NFT to check estimated fair value and rarity.
When comparing similar items across OpenSea and Blur to spot price discrepancies.
For quick portfolio checks to see realized/unrealized gains or losses on an NFT.
When assessing collection rarity distributions for curation or research.
To gather recent sale history to validate market momentum before trading.

Best practices

Cross-check valuation with current marketplace listings and your own due diligence.
Use rarity rank in combination with visual traits and community sentiment, not as sole input.
Review recent sale volume and time-weighted price changes for a more robust trend view.
Supply correct acquisition price and fees when using holding P/L calculations.
Treat output as an estimate—market prices can move quickly and may differ by platform.

Example use cases

Estimate the market value and rarity percentile for a specific NFT before buying.
Compare floor prices between OpenSea and Blur to identify arbitrage opportunities.
Generate a quick performance snapshot (7-day change, rarity) for an NFT to include in a trade note.
Calculate profit/loss for an NFT position after a sale or mark-to-market pricing.
Scan a collection to highlight top-rarity items that are underpriced relative to peers.

FAQ

The skill sources data from OpenSea and Blur for pricing, listings, and transaction history.

How accurate are the valuations?

Valuations are algorithmic estimates based on marketplace data and rarity metrics. They are useful for guidance but not guaranteed sale prices.

Can it compute my holding profit/loss?

Yes. Provide your acquisition price and fees, and the skill will compute a basic realized/unrealized P/L based on current estimated value.