Research-grade
alternative datasets,
built when APIs fall short.
We help researchers, economists, funds, and data teams collect, clean, normalize, and structure hard-to-source financial datasets — from fragmented APIs, dashboards, charts, exchanges, governance portals, and on-chain data.
The data you need
already exists.
It’s just scattered.
Valuable financial and crypto data rarely sits in one clean feed. It lives across systems that were never designed to be joined together.
- 01APIsfragmented
- 02Dashboardsfragmented
- 03Chartsfragmented
- 04PDFsfragmented
- 05Web portalsfragmented
- 06Block explorersfragmented
- 07Exchange datafragmented
- 08Governance platformsfragmented
- 09Spreadsheetsfragmented
“Most teams do not need another scraper. They need a clean, validated, research-ready dataset.”
Datasets we build,
end to end.
From governance records to deep price history — sourcing, extraction, cleaning, and delivery. Start from analysis, not plumbing.
DAO & Governance Datasets
Structured records of proposals, votes, treasuries, delegates, and participation across governance portals and DAO tooling.
Historical Token Price Data
Deep price history assembled and cross-checked across multiple financial APIs, with manual reconstruction where APIs fall short.
On-chain Data Extraction
Transactions, transfers, contract events, and wallet activity pulled directly from block explorers and node data.
Exchange & Market Data
Spot and derivatives market data — OHLCV, volume, and liquidity — normalized across centralized and decentralized venues.
Research Data Cleaning
Messy, multi-source data turned into validated, analysis-ready tables with consistent schemas and documented assumptions.
API + Manual Data Reconciliation
Gaps in automated sources filled with careful manual extraction, then reconciled against APIs for coverage and accuracy.
Fuzzy Matching & Entity Resolution
DAO names mapped to tickers, contracts, and entities using fuzzy matching and human review to eliminate mismatches.
CSV / Excel / Postgres Delivery
Final datasets delivered in the format your team works in — CSV, Excel, JSON, Google Sheets, or a Postgres-ready schema.
DAO Governance + Historical Market Dataset
We built a research-ready dataset for 400+ DAOs by mapping DAO names to token tickers, extracting historical market data, reconciling missing tokens, testing multiple financial APIs, normalizing prices across USD/BTC/ETH, removing duplicates, and using manual chart extraction where APIs failed.
Read the full breakdownWhat research-ready
actually looks like.
A sample of delivered structure — normalized, deduplicated, validated. Full datasets are scoped to your specific research question.
// this is a sample preview. full datasets are built or delivered based on client requirements.
From research question
to research-ready dataset.
A repeatable process built around one goal: data you can trust, with every assumption documented.
Define research question
We start from the analysis you're trying to run — the entities, time range, and fields that actually matter for your work.
Identify available and hidden data sources
We map where the data lives: public APIs, dashboards, block explorers, governance portals, charts, and sources most vendors overlook.
Extract from APIs, web, charts, and on-chain sources
We pull data through automated pipelines and, where APIs fall short, careful web, dashboard, and chart extraction.
Clean, normalize, deduplicate, and reconcile
We standardize schemas, normalize across USD/BTC/ETH, remove duplicates, and reconcile conflicting sources into one trusted table.
Deliver research-ready dataset with documentation
You receive a validated dataset in your preferred format, with documentation covering sources, coverage, and known limitations.
Built for people who
take data seriously.
Our clients share one thing: they need data that will stand up to scrutiny — in a paper, a memo, a model, or an investment decision.
Questions,
answered.
Don’t see yours? Send a dataset request or book a call — we’re happy to talk specifics.
Yes. We specialize in creating custom datasets from fragmented public, API, web, and on-chain sources.
Have a dataset that doesn't exist yet?
Tell us the research question and where the data lives. We'll figure out how to build it — book a call or send a request and we'll reply within 24 hours.