NameCatcher

NameCatcher

Name intelligence for TON: score any Telegram username (0–100, validated on 111k+ Fragment sales), catch mints, track the market — plus free API for AI agents.

Category
Visit Server

README

NameCatcher — username intelligence for AI agents

Score and value collectible Telegram usernames: namability score (0–100) validated against 111k+ real Fragment sales, fair price estimation in GRAM, and positioning theses. Free public API — no key, no wallet, no setup.

Three ways to plug in, thinnest first:

Layer For Install
Plain HTTP any agent that can curl/fetch nothing
Agent Skill Claude Code / skills-compatible agents npx skills add productmap/namecatcher-skills
MCP server Claude Desktop/Code, any MCP client npx -y namecatcher-mcp

Built by NameCatcher — the Telegram mini app for username investors: mint catching, market analytics, portfolio, value passports.

Quick try

curl -s "https://api-namecatcher.rocketname.com/public/score/wearlab?lang=en" | jq
{
  "username": "wearlab",
  "score": 67,
  "band": "strong",
  "fair_price_ton": 400,
  "thesis": "A crisp fusion of \"wear\" and \"lab\" …",
  "lang": "en",
  "analysis_url": "https://t.me/NameCatcherBot?startapp=name_wearlab__pub_api",
  "fragment_url": "https://fragment.com/username/wearlab"
}

API reference

One endpoint, no auth:

GET https://api-namecatcher.rocketname.com/public/score/{name}?lang={en|ru}

Parameters

Param In Required Description
name path yes Username without @. 4–32 chars, a-z 0-9 _
lang query no en (default) or ru — language of thesis

Response fields

Field Type Description
username string Canonical (lowercase) username
score int 0–100 Namability — quality of the name as a brandable asset. Market-validated: names scoring 90+ sell for a multiple of 80–89 names
band string premium (≥80) · strong (≥66) · medium (≥50) · weak (<50). Below 50 is not investment-grade
fair_price_ton number | null Class-based fair price estimate in GRAM (length × score class)
thesis string | null Short positioning summary (why the name works, for whom). Present only for names already analyzed — null is not a quality signal
lang string Language the thesis was returned in
analysis_url string Full breakdown in the NameCatcher mini app
fragment_url string The name's page on Fragment (live market status, buy/bid)

Errors

Status Body Meaning
400 {"error":"INVALID_NAME"} Not a valid username string
400 {"error":"NOT_COLLECTIBLE"} Valid string, but not scorable as a collectible (e.g. too short)
429 {"error":"RATE_LIMITED","retry_after_s":n} Over 60 req/min per IP — wait retry_after_s and retry
429 {"error":"DAILY_LIMIT","limit_per_day":1000} Over 1,000 req/day per IP

Rate limits

60 requests/min and 1,000 requests/day per IP. Generous for agent workflows (evaluating and comparing dozens of names); not enough for bulk scraping — that's intentional. Need more for a legitimate use case? Ping @BrandEvangelist.

curl cookbook

# Score one name (Russian thesis)
curl -s "https://api-namecatcher.rocketname.com/public/score/morya?lang=ru" | jq '{score, band, fair_price_ton}'

# Compare candidates: pick the best of three
for n in pulsefit traintrack fitwave; do
  curl -s "https://api-namecatcher.rocketname.com/public/score/$n" | jq -c '{username, score, band}'
done | sort -t: -k2 -rn

# Pre-purchase check: is a 300 GRAM ask below class valuation?
curl -s "https://api-namecatcher.rocketname.com/public/score/vault" \
  | jq '{score, fair_price_ton, below_class: (.fair_price_ton / 300 >= 1.2)}'

Agent Skill

The names/ton-usernames skill teaches an agent the full workflow: single-name evaluation, candidate comparison, and pre-purchase checks against Fragment asks.

npx skills add productmap/namecatcher-skills --skill ton-usernames
# or manually:
cp -r names/ton-usernames ~/.claude/skills/

A PR adding this skill to the official ton-org/skills is open.

MCP server

A thin stdio bridge over the same API — for Claude Desktop, Claude Code, and any MCP client. No key needed. Published on npm as namecatcher-mcp (GitHub install npx -y github:productmap/namecatcher-skills also works).

smithery badge

Remote endpoint (Streamable HTTP) — same three tools, zero install:

https://mcp-namecatcher.rocketname.com/mcp
claude mcp add --transport http namecatcher https://mcp-namecatcher.rocketname.com/mcp

Claude Code:

claude mcp add namecatcher -- npx -y namecatcher-mcp

Claude Desktop / other MCP clients (mcpServers config):

{
  "mcpServers": {
    "namecatcher": {
      "command": "npx",
      "args": ["-y", "namecatcher-mcp"]
    }
  }
}

Tools

Tool Description Arguments
score_name Score one username: namability, band, fair price, thesis name, lang?
compare_names Score up to 20 candidates and rank them by score names[], lang?
check_fragment_ask Compare a Fragment asking price to the class valuation → fair/ask ratio + verdict name, ask_ton

Environment: NAMECATCHER_API_ORIGIN (optional) — override the API origin.

Notes for builders

  • The score measures naming quality, deterministic per model version — safe to cache
  • It is not demand for a specific lot: always check the live Fragment price before money decisions
  • Pairs naturally with TON wallet tooling (@ton/mcp): evaluate → then buy

Links

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured