Santiment
From AltData.wiki, The Alternative Data Encyclopedia
Santiment is a cryptocurrency market-intelligence provider that combines on-chain, social-media, financial-market, and software-development data. Its principal interface, Sanbase, includes charts, screeners, watchlists, alerts, social-trend displays, and published analyses; the company also provides programmatic and spreadsheet-based access to its data.[1][5].
Santiment says that it began building its platform in 2016. Its website reports coverage of more than 2,500 cryptoassets and 1,100 metrics, while noting that metric availability differs by blockchain.[1][2] These are company-reported coverage figures rather than independently audited measurements. CoinDesk describes Santiment as a blockchain-analytics or market-intelligence platform and has used its social and on-chain indicators in market reporting.[3]
What It Does
Santiment organizes data intended to describe activity and attention in crypto markets. On-chain measures address subjects such as holder distribution, large transactions, exchange supply, and the relationship between asset prices and holders' estimated cost bases. Its social products track discussion volume, trends, and sentiment, while development measures summarize activity associated with public software repositories.[1]
The service is analytical rather than transactional: the reviewed product pages describe research, monitoring, alerting, and data-integration functions, but do not present Santiment as an exchange, broker, custodian, or investment adviser.[1][2] CoinDesk's coverage illustrates one external use of the data: journalists have cited Santiment measures when discussing social-media mood, whale activity, and transaction patterns.[3]
Data and Methodology
The company groups its information into financial, on-chain, social, and development datasets. It reports parsing more than three million messages per month and maintaining labels for over 75 million Ethereum addresses and 65 million Bitcoin addresses.[1] Those labels can support behavioral groupings, but the public landing page does not disclose a complete labeling methodology, error rate, or independent audit of the totals.[1]
Santiment's pricing documentation states that supported networks include Bitcoin, Ethereum, XRP Ledger, BNB Chain, Cardano, Polygon, Optimism, and Arbitrum, among others, as of February 2026. It also cautions that available on-chain metrics vary by blockchain.[2] Users therefore need to check the metric documentation and network coverage rather than assume uniform histories or definitions.[4]
Products and Delivery
Sanbase is the main browser-based research environment. Related products linked by the company include SanAPI for data pipelines, Sansheets for spreadsheet use, and SanR for research activity. The website also links to metric documentation and presents CSV exports, alerts, and chart embedding among the available delivery or workflow features.[1][4]
The public pricing page lists a free plan with delayed or limited access, a Pro plan with broader Sanbase access, and a Max plan with unrestricted real-time API data. At the time reviewed, the page displayed monthly list prices of $49 for Pro and $249 for Max, while annual billing and token-related discounts were also offered.[2] Prices and limits may change, so the current pricing page is the authoritative source.[2]
Buyers and Use Cases
Santiment identifies individual traders, researchers, hedge-fund managers, crypto-project operators, and NFT creators as intended users.[1] Typical uses supported by the documented tools include comparing market and blockchain series, screening assets, monitoring selected addresses or holder cohorts, receiving threshold alerts, testing observations against historical data, and loading metrics into quantitative research systems.[1][4]
The data can provide signals about recorded blockchain activity and public discussion, but it does not by itself establish why participants acted or predict prices. The disagreement and interpretation found in market reporting also show why third-party users should treat individual metrics as inputs to analysis rather than conclusive evidence.[3]