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📦 Memecoins - Low Market Cap Chart Data
Network: Solana
Vastly labeled dataset with over 140 heavily detailed, low market cap Solana memecoin chart's data that can be used for simple or advanced analysis.
🔐 Access Requirements (Paid Dataset)
This dataset is behind manual gated access.
To obtain access:
Purchase the dataset here:
👉 https://masonmarker.gumroad.com/l/solanamemecoins1Provide your Hugging Face username at checkout.
Return to this Hugging Face page and click:
“Request Access”Your access will be approved within 1–12 hours.
Once approved, you can:
- download the full dataset
- load it with
datasets.load_dataset() - use it under the Custom Paid License terms below
📄 Custom Paid License (Summary)
By requesting access, you agree to the following terms:
✔ You MAY:
- use the dataset for personal, academic, or commercial projects
- analyze, preprocess, and build models using the data
- incorporate models trained on this dataset into commercial products
❌ You MAY NOT:
- redistribute, share, upload, or republish the dataset
- include the dataset in any open-source project
- resell or sublicense the dataset
- make the raw data publicly accessible in any form
All rights remain with the creator.
Licenses are granted per-individual or per-organization.
🧩 Dataset Outline
Chart data was scraped from Photon, with a maximum pulse timedelta of 10 seconds.
This dataset contains over 140 unique charts and their chart data for analyzing low market cap memecoins. There were thousands obtained during scraping, however in efforts to provide useful chart data, this number has been filtered down to relevant charts, being those that:
- were seen within a few seconds of appearing in their latest column
- have a pulse snapshot timedelta of less than 10 seconds
- have over 75 valid data points
Photon divides tokens into 3 categories:
- new
- graduating
- graduated
While scraping the data, the following filters were applied to each column:
- new
- 9000 <= market cap <= 200000
- graduating
- 9000 <= market_cap
- 7 <= holders
- 1 <= global fees (SOL)
- age <= 45 mins
- bundle holding % <= 30%
- graduated
- 9000 <= market cap
- 1 <= global fees (SOL)
In analyzing the provided charts lengths, we see a:
- minimum of 79 data points
- maximum of 2156 data points
- avg of nearly 300 data points per chart
All data was scraped on 9-11-2025 (September 11th):
- earliest data point timestamp: 2025-09-11 13:11
- latest data point timestamp: 2025-09-11 18:45
📁 Dataset Structure
All chart data is all contained in a single .jsonl file, with one chart's data per line.
Loading all chart data
The dataset file containing all of the chart data is ~1GB, this can be loaded properly with the following:
from datasets import load_dataset
import json
import pandas as pd
# load the dataset
ds = load_dataset("masonmarker/memecoins-chart-data-low-mc")
def load_charts_from_dataset(ds):
"""Loads the charts from the dataset for ease of use."""
df = ds["train"].to_pandas().copy()
def looks_like_json(s: str) -> bool:
s = s.lstrip()
return bool(s) and s[0] in "[{"
def try_parse(v):
if isinstance(v, str) and looks_like_json(v):
try:
return json.loads(v)
except Exception:
return v
return v
for col in df.columns:
if df[col].dtype == object:
sample = df[col].dropna().head(20)
if sample.empty:
continue
if any(isinstance(x, str) and looks_like_json(x) for x in sample):
df[col] = df[col].apply(try_parse)
charts = []
for _, g in df.groupby("_chart_index"):
chart_df = g.drop(columns=["_chart_index"]).reset_index(drop=True)
charts.append(chart_df)
return charts
# list of charts
charts: list[pd.DataFrame] = load_charts_from_dataset(ds)
Each row of a loaded DataFrame represents a single data point/snapshot of a token's chart / price history / etc. As time continues, you'll notice information appears in the data as its scraped, and not all column values will be available from the first data point.
Example chart:
Figure 1: Second to last chart in the dataset, drawn using the "market_cap" column
| timestamp | name | symbol | market_cap | volume |
|---|---|---|---|---|
| 2025-09-11 13:53:54.552136-04:00 | Super Excellent Coin | SEC | 102300 | 92000 |
| 2025-09-11 13:53:57.536727-04:00 | Super Excellent Coin | SEC | 132200 | 95000 |
| 2025-09-11 13:54:00.117684-04:00 | Super Excellent Coin | SEC | 126700 | 96000 |
| 2025-09-11 13:54:02.747767-04:00 | Super Excellent Coin | SEC | 183000 | 100000 |
| 2025-09-11 13:54:05.939862-04:00 | Super Excellent Coin | SEC | 162400 | 104000 |
| 2025-09-11 13:54:08.741797-04:00 | Super Excellent Coin | SEC | 187600 | 109000 |
| 2025-09-11 13:54:11.391534-04:00 | Super Excellent Coin | SEC | 203800 | 112000 |
Figure 2: Second to last chart in the dataset,
slice of actual data, only showing 5 of many columns, see below
Within the loaded chart DataFrames, you'll find the following columns:
| Column | types | Description |
|---|---|---|
| timestamp | str | Time the token snapshot was captured. |
| address | str | Contract address of the token. |
| name | str | Token name at time of scrape. |
| symbol | str | Token ticker symbol. |
| decimals | null | Token decimal precision. |
| supply | null | Total supply reported. |
| mintAuthority | null | Account allowed to mint new supply. |
| freezeAuthority | null | Account allowed to freeze accounts/tokens. |
| photon_column | str | Raw Photon-origin column used during ingestion. |
| Column | types | Description |
|---|---|---|
| website | null | Official website URL. |
| x | null | X/Twitter profile URL. |
| telegram | null | Telegram group URL. |
| logo | null | Token logo URL. |
| photon_url | str | Photon explorer page. |
| pump_fun_url | str | Pump.fun token page. |
| search_x_url | str | Twitter search query URL. |
| linked_website_url | null, str | Website link found during scraping, overrides website. |
| linked_x_url | null, str | X URL linked to the token, overrides x. |
| linked_telegram_url | null | Telegram URL linked to the token, overrides telegram. |
| linked_tiktok_url | null | TikTok URL linked to the token, overrides tiktok. |
| Column | types | Description |
|---|---|---|
| volume | int64 | Trading volume in base units. |
| market_cap | int64 | Current market cap. |
| highest_market_cap | float, null | Highest market cap achieved. |
| holders | int64 | Number of unique token holders. |
| bot_holders | float, null | Count of holders flagged as bots. |
| top_10_holder_percentage | float, null | % of supply held by top 10 holders. |
| dev_holdings | float | Amount held by dev wallet. |
| dev_sold | bool_ | Whether dev sold tokens. |
| snipers | float, null | Early sniper wallets. |
| tax | float, null | Buy/sell tax info. |
| pair_quote_token_account | null | Quote token account in liquidity pair. |
| pair_quote_token_info | null | Metadata for quote token. |
| pair_base_token_liquidity_added | null | Initial liquidity added (base token). |
| pair_quote_token_liquidity_added | null | Initial liquidity added (quote token). |
| pair_migration | null | Liquidity migration events. |
| Column | types | Description |
|---|---|---|
| first_seen | str | Timestamp token was first detected. |
| seen_when_created | bool_ | True if time in current column when detected was under 10 seconds. |
| lifetime_type | str | Type of lifetime measurement. |
| lifetime_value | str | Numerical lifetime value. |
| x_post_posted_ago | null | Age of the related social post. |
These values are determined by attempting to retrieve the source code of a URL and searching for the token's CA, name, and symbol.
| Column | types | Description |
|---|---|---|
| ca_mentioned_by_poster | bool_ | CA mentioned in social post by poster. |
| name_mentioned_by_x_poster | bool_ | Token name mentioned on X. |
| symbol_mentioned_by_x_poster | bool_ | Token symbol mentioned on X. |
| ca_mentioned_in_website | bool_ | CA appears on website. |
| name_mentioned_in_website | bool_ | Name appears on website. |
| symbol_mentioned_in_website | bool_ | Symbol appears on website. |
Website analysis was queued in a separate thread while scraping, and may not be available for all tokens; website analysis may appear at any time during a token's lifecycle because of this. This concept applies to all website-analysis-based columns.
| Column | types | Description |
|---|---|---|
| website_analysis | null | Structured website analysis object. |
| website_status | bool, null | HTTP/connection status. |
| website_reputation | null, str | Internal website credibility score. |
| website_title | null, str | Extracted HTML <title>. |
| website_text_snippet | null, str | Extracted readable text sample. |
| Column | types | Description |
|---|---|---|
| website_analysis_url | null, str | URL scanned. |
| website_analysis_domain_info_domain | null, str | Registered domain. |
| website_analysis_domain_info_suffix | null, str | Domain suffix (TLD). |
| website_analysis_domain_info_subdomain | null, str | Subdomain. |
| website_analysis_domain_info_registered_domain | null, str | Fully registered domain. |
| website_analysis_domain_info_full_domain | null, str | Full domain with subdomain. |
| website_analysis_response_info_status_code | float, null | HTTP status code. |
| website_analysis_response_info_content_type | null, str | MIME type. |
| website_analysis_response_info_server | null, str | Server header. |
| website_analysis_response_info_response_time_ms | float, null | Response latency in ms. |
| Column | types | Description |
|---|---|---|
| website_analysis_content_info_title | null, str | HTML title. |
| website_analysis_content_info_meta_description | null, str | Meta description tag. |
| website_analysis_content_info_links_count | float, null | Number of links. |
| website_analysis_content_info_external_links | list[empty], list[str], null | List of external links. |
| website_analysis_content_info_text_length | float, null | Total extracted text length. |
| website_analysis_full_text | null, str | Full site text scraped. |
| website_analysis_html_content | null, str | Raw HTML content. |
| website_analysis_timestamp | null, str | Scrape timestamp. |
| website_analysis_reputation | null, str | Website reputation score. |
Similarly to website analysis, all Rugcheck data was queued in a separate thread while scraping and may not be available for all tokens; Rugcheck data may appear at any time during a token's lifecycle because of this. This concept applies to all Rugcheck-based columns.
An API call to rugcheck.xyz is queued for each token upon seeing it for the first time. Due to API rate limits, the Rugcheck query information may appear at any time within the charts data, however will persist throughout the rest of the chart's available data points.
| Column | types | Description |
|---|---|---|
| rugcheck_data | null | Raw Rugcheck aggregate score. |
| rugcheck_data_score | float, null | Risk score. |
| rugcheck_data_score_normalised | float, null | Normalized score 0–1. |
| rugcheck_data_rugcheck_score | float, null | Primary Rugcheck rating. |
| rugcheck_data_rugcheck_result | null, str | Text result (e.g., Low Risk). |
| rugcheck_data_risks | list[dict], list[empty], null | Risk flags. |
| rugcheck_data_rugged | bool, null | Whether token is flagged as rugged. |
| rugcheck_data_verification | null | Verification confidence. |
| rugcheck_data_graphInsidersDetected | float, null | Insider network detection. |
| rugcheck_data_insiderNetworks | null | Insider connections count. |
| rugcheck_data_detectedAt | null, str | Rugcheck detection timestamp. |
| rugcheck_data_price | float, null | Price at detection. |
| rugcheck_data_tokenType | null, str | Token classification. |
| Column | types | Description |
|---|---|---|
| rugcheck_data_token_supply | float, null | Supply from Rugcheck. |
| rugcheck_data_token_decimals | float, null | Decimals from Rugcheck. |
| rugcheck_data_token_isInitialized | bool, null | Token initialization status. |
| rugcheck_data_token_freezeAuthority | null | Freeze authority value. |
| rugcheck_data_token_extensions | null | Detected SPL extensions. |
| rugcheck_data_token_mintAuthority | null | Mint authority metadata. |
| rugcheck_data_mintAuthority | null | Duplicate mint authority field. |
| rugcheck_data_freezeAuthority | null | Duplicate freeze authority field. |
| rugcheck_data_topHolders | list[dict], list[empty], null | Holder distribution. |
| rugcheck_data_totalMarketLiquidity | float, null | Market liquidity. |
| rugcheck_data_totalStableLiquidity | float, null | Stablecoin liquidity. |
| rugcheck_data_totalLPProviders | float, null | Count of LP providers. |
| rugcheck_data_totalHolders | float, null | Total holders counted. |
| Column | types | Description |
|---|---|---|
| rugcheck_data_mint | null, str | Mint address. |
| rugcheck_data_tokenProgram | null, str | Token program ID. |
| rugcheck_data_creator | null, str | Token creator wallet. |
| rugcheck_data_creatorBalance | float, null | Creator’s token balance. |
| rugcheck_data_tokenMeta_name | null, str | On-chain metadata name. |
| rugcheck_data_tokenMeta_symbol | null, str | On-chain metadata symbol. |
| rugcheck_data_tokenMeta_uri | null, str | On-chain metadata URI. |
| rugcheck_data_tokenMeta_mutable | bool, null | Whether metadata is mutable. |
| rugcheck_data_tokenMeta_updateAuthority | null, str | Metadata update authority. |
| rugcheck_data_fileMeta_name | null, str | Off-chain metadata name. |
| rugcheck_data_fileMeta_symbol | null, str | Off-chain metadata symbol. |
| rugcheck_data_fileMeta_description | null, str | Description in metadata file. |
| rugcheck_data_fileMeta_image | null, str | Image URL from metadata. |
| rugcheck_data_markets | list[dict], null | Markets detected. |
| rugcheck_data_events | list[empty], null | Parsed event list. |
| rugcheck_data_creatorTokens | list[dict], null | Other tokens created by same dev. |
| Column | types | Description |
|---|---|---|
| rugcheck_data_transferFee_pct | float, null | Transfer fee percentage. |
| rugcheck_data_transferFee_maxAmount | float, null | Maximum fee charged. |
| rugcheck_data_transferFee_authority | null, str | Wallet controlling transfer fees. |
| Column | types | Description |
|---|---|---|
| rugcheck_data_launchpad | null | Launchpad ID or reference. |
| rugcheck_data_launchpad_name | null, str | Launchpad platform name. |
| rugcheck_data_launchpad_logo | null, str | Logo URL. |
| rugcheck_data_launchpad_url | null, str | Launchpad project link. |
| rugcheck_data_launchpad_platform | null, str | Platform type (e.g., Pump.fun). |
To avoid spamming dozens of nearly identical fields, known accounts are summarized below. In the actual dataset, many concrete columns follow the same pattern.
| Column | types | Description |
|---|---|---|
| rugcheck_data_knownAccounts_EXrwPrwzH2o4EqzU9fyFTweeNDi4gKmEYjaoXrve4dhD_name | null, str | Example known account name label. |
| rugcheck_data_knownAccounts_EXrwPrwzH2o4EqzU9fyFTweeNDi4gKmEYjaoXrve4dhD_type | null, str | Example known account type/category. |
| rugcheck_data_knownAccounts_REMAINING | - | Placeholder representing all other known accounts. |
| Column | types | Description |
|---|---|---|
| webscraping_thread | null | Internal scraper/thread debug info. |
All meta tag fields follow this pattern:
dtype: object
description: Raw HTML <meta> attribute extraction.
Examples include:
- meta_tags_theme-color
- meta_tags_viewport
- meta_tags_twitter:title
- meta_tags_description
- meta_tags_keywords
- meta_tags_robots
- meta_tags_generator
- …and many more.
Find out more about me: masonmarker.com
Marker, Mason. (2025). Memecoins - Low Market Cap Chart Data. Hugging Face. https://huggingface.co/datasets/masonmarker/memecoins-chart-data-low-mc
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