sifting/io
Analytics & research platform

Market analytics and research platforms

Feed analytics tools, screeners, and research platforms with a unified, multi-asset feed across stocks, forex, crypto, commodities, and on-chain fundamentals.

1 adapteringests every market
Versionedendpoints that don't break
5+ marketsincluding fundamentals
How it fits together

One feed in, your product out

Markets you need
StocksForexCryptoFundamentals
SiftingIOOne JSON schema. One key. REST and WebSocket.
What you buildYour analytics platform

Analytics and research platforms are in the business of putting many markets next to each other and making them comparable. The unglamorous reality is that most of the engineering effort goes into ingestion: normalizing each source into one shape, and keeping it working as providers quietly change fields. That is the tax SiftingIO is built to remove.

The problem

Analytics and research platforms ingest many markets and present them side by side. Per-source schemas and silent field changes mean the ingestion layer breaks every time a market is added or a provider shifts a field.

How SiftingIO handles it

One JSON shape across crypto, forex, stocks, commodities, and on-chain fundamentals, with versioned, additive-only endpoints, means a single adapter handles ingestion for every market. The same client powers a screener, a research notebook, and a customer-facing analytics dashboard.

One ingestion adapter, not one per market

Every market here returns the same JSON fields, so the ingestion layer that handles equities also handles crypto, forex, commodities, and on-chain fundamentals. Adding coverage to your platform becomes a configuration change rather than a new parser, a new test suite, and a new thing to wake up to when it breaks at 3am.

Versioned endpoints so jobs do not rot

Scheduled ingestion jobs break when a field is renamed or dropped without warning, and you find out from a dashboard full of nulls. Endpoints here are versioned under /v1 and changes are additive only, so a job you pin today keeps returning the same shape. You opt into new fields when you are ready, instead of reacting to a silent change someone else shipped.

Fundamentals alongside prices

Research platforms increasingly want protocol-level financials and TVL sitting next to price data, not in a separate silo. On-chain fundamentals are served the same way as any other market, so a screener can rank on a fundamentals metric and a price move in the same query, without bridging a separate data source into the pipeline.

Start building

From zero to live data in three steps

  1. 1

    Create a free API key

    Sign up and generate a key. The free tier covers every market, with no sales call to get started.

  2. 2

    Subscribe to your markets

    Add the markets your product needs. Bundle discounts apply automatically once two or more Pro markets are active.

  3. 3

    Call REST or stream over WebSocket

    Pull snapshots and history over REST, or subscribe to live ticks over WebSocket. Same schema and key, in Go, Python, or TypeScript.

FAQ

Analytics & research platform: common questions

Do all markets share one response shape?

Yes. Crypto, forex, stocks, commodities, and on-chain fundamentals return the same JSON fields, so a single ingestion adapter handles every market. Adding coverage does not mean writing a new parser.

Will my ingestion jobs survive API changes?

Endpoints are versioned under /v1 and changes are additive only, so fields are not removed or renamed underneath you. Pin the version in your ingestion jobs and existing pulls keep returning the same shape.

Can I build a screener across asset classes?

Yes. REST OHLCV and on-chain fundamentals power cross-asset screeners and analytics, all from one client and credential.

How do I keep research and analytics reproducible?

Historical pulls are deterministic and versioned, and audit logs on Pro and above record every read, so a chart or a study can be reproduced from the exact data that produced it.

What plan suits an analytics platform?

Most analytics platforms run a custom bundle across the markets they cover, with the bundle discount applied automatically once two or more Pro markets are active.

Same data, same SLA, same schema

Build this on SiftingIO.

Start on the free tier, mix asset classes when you need to, and reach out if you want a closer look at how a similar team set up their stack.