Resources · Use cases

What teams actually build on SiftingIO.

Eight detailed scenarios (quant trading, fintech apps, treasury, research, plugins, enterprise platforms, AI agents, and regional fintech) with the problem each team faced, the SiftingIO approach, a sample stack, and the outcomes.

Quant trading firm Cross-border payments / wallet Research / data team Risk, treasury, and back-office Plugin / bot developer Enterprise platform team AI agent builder Regional / EM fintech

01Quant trading firm

Algorithmic trading and quant strategies

Run a multi-asset strategy that backtests on tick data and executes against the same canonical feed in production.

Crypto data API Forex data API

The problem

Strategy research and live trading typically live on different data clients. Strategies that look profitable in backtest fail in live trading because of subtle differences in venue selection, aggregation, and timestamp semantics.

The SiftingIO approach

SiftingIO provides one canonical mid/bid/ask across multiple venues with consistent timestamps. The same WebSocket stream powers research backtests (replayed from history) and live execution, so the function under test is identical end-to-end.

Sample stack

Crypto Pro · tick + OHLCV history for research
Forex Pro · institutional LP feed for cross-asset signals
WebSocket trades + quotes channels for live
Audit logs for compliance / strategy attribution

Outcomes

Backtest-to-live parity on price source
Multi-venue resilience to single-exchange outages
One credential across research and execution

02Cross-border payments / wallet

Wallets, calculators, and fintech apps

Embed live crypto and FX rates into wallet apps, payment quotes, and end-user fintech flows worldwide.

Forex data API Crypto data API

The problem

Consumer fintech apps need live FX rates and crypto prices that look right at every conversion screen, across regions, devices, and weekend gaps. Legacy data vendors price for institutional desks, not for products with millions of free-tier users.

The SiftingIO approach

Pay-per-market pricing means a wallet app starts on Crypto + Forex bundle (Duo) and scales linearly with volume. Sub-100ms median latency from primary regions keeps UI quotes feeling live; deterministic weekend fallback for FX prevents stale-quote bugs in payment flows.

Sample stack

Duo bundle · Crypto + Forex Pro under one credential
REST snapshots for screen-render quotes
WebSocket for live conversion screens
Predictable per-product pricing as user base grows

Outcomes

Worldwide currency coverage from day one
Predictable cost ceiling at scale
Single integration across crypto and FX features

03Research / data team

Research, dashboards, and BI

Pipe a unified, multi-asset feed into Jupyter notebooks, React dashboards, and BI pipelines without writing per-asset adapters.

All products Pricing & bundles

The problem

Research teams stitch together free APIs, paid vendors, and CSV exports, and end up rewriting parsers every time they add a market. Schemas drift, fields disappear silently, and notebook code rots within a quarter.

The SiftingIO approach

One JSON shape across crypto, forex, and stocks, with versioned endpoints and additive-only fields means a single Pandas adapter handles everything. The same client powers a Jupyter notebook, a Next.js dashboard, and a Snowflake ingestion job.

Sample stack

Trio bundle · Crypto + Forex + Stocks Pro
REST OHLCV for historical pulls
Versioned endpoints (/v1) pinned in clients
Audit logs for reproducibility

Outcomes

Single parser across asset classes
No quarterly schema-rewrite tax
Reproducible research outputs

04Risk, treasury, and back-office

Risk, marking, and audit

Deterministic as-of pricing and historical snapshots for position marking, P&L attribution, and audit trails.

US stocks data API Forex data API

The problem

Mid-day marking, end-of-day P&L, and compliance audits demand consistent prices across asset classes, and a paper trail of which feed produced which value when. Spreadsheets pulled from multiple vendors don't reconcile.

The SiftingIO approach

Versioned endpoints, deterministic timestamps, and revision-tracked historical records produce reproducible outputs. Audit logs (Pro and above) export every credential's read history, so compliance can attribute every marking decision to a specific feed read.

Sample stack

Pro tier · Stocks + Forex + Crypto for cross-asset book
Historical OHLCV with revision metadata
Audit logs exported to SIEM
End-of-day fixings (FX) for reference

Outcomes

Reproducible marking and P&L
Audit trail across asset classes
Same source for risk and finance

05Plugin / bot developer

Plugins, extensions, and bots

Ship browser extensions, Slack and Discord bots, and no-code integrations that quote live prices.

Pricing & free tier Docs · Quick start

The problem

Plugin authors don't need 10M req/min. They need a free or near-free tier with worldwide coverage and zero infrastructure. Most enterprise data vendors price out independent developers entirely.

The SiftingIO approach

Free tier on every product covers prototyping and small bots; Builder tier on a single product is enough for most published plugins. WebSocket subscriptions stay under 100 in most plugin scenarios, fitting comfortably inside the free or Builder tier per product.

Sample stack

Crypto or Forex on Free → Builder tier
Single REST endpoint for slash-command quotes
WebSocket for ticker plugins
Public status page link in plugin UI

Outcomes

Free tier large enough to ship plugins
Predictable cost as plugin gains users
Zero infrastructure to operate

06Enterprise platform team

Internal platforms, data lakes, and feature stores

A cross-asset feed that internal platforms, data lakes, and feature stores integrate against once and rely on for years.

Talk to sales Enterprise pricing

The problem

Platform teams inherit five different vendor SDKs, three different schema dialects, and two different auth flows. Every new asset class re-opens procurement and re-tests SOC 2 controls.

The SiftingIO approach

SiftingIO Enterprise consolidates crypto, forex, US stocks, and DEX under one MSA, one DPA, one set of audit logs, and one bearer token. Custom rate limits, IP allowlists, SSO/SAML, and SCIM line up with enterprise platform requirements. New asset classes ship under the existing contract.

Sample stack

Enterprise · all products included
SSO + SCIM for platform user management
Custom IP allowlist + scoped keys
Net-30/60 invoicing, POs, DPA / MSA

Outcomes

One contract instead of five
Security review done once
New markets without re-procurement

07AI agent builder

AI agents and trading copilots

Power AI agents and copilots that quote, analyse, and act on real markets without hand-rolling per-asset tools.

Docs · API reference Pricing

The problem

Function-calling agents need a small, predictable tool surface for market data, not five per-vendor wrappers each with different parameter names. Latency budgets are tight; tool calls that miss caches kill the loop.

The SiftingIO approach

A unified JSON schema and a single bearer token mean a single tool definition handles every asset class. Pro tier rate limits are sufficient for high-throughput agent workloads; Enterprise unlocks dedicated clusters for low-latency tool calling at scale.

Sample stack

Pro tier · single product or bundle
REST snapshots as agent tool calls
WebSocket for streaming context
Versioned endpoints for stable tool schemas

Outcomes

One tool definition across asset classes
Stable schema for prompt engineering
Path to dedicated cluster on demand

08Regional / EM fintech

Regional and emerging-market fintech

Cover currencies, exotic FX, and crypto pairs your region cares about, without paying for markets you don't.

Forex data API Pricing & Duo bundle

The problem

Fintechs in emerging markets need exotic FX (USD/TRY, USD/INR, USD/MXN) and local stablecoin pairs that legacy vendors either don't cover or bury inside expensive, all-inclusive packages.

The SiftingIO approach

Forex Pro covers global exotics: majors, minors, and emerging-market pairs. Buy only the products your product needs (Forex + Crypto Duo for typical regional fintech), with a clear path to the Stocks add-on if you expand into investment products.

Sample stack

Duo bundle · Forex + Crypto Pro
Custom subset of FX exotics
Local stablecoin coverage (USDT, USDC, DAI)
Worldwide endpoint availability

Outcomes

Regional coverage at non-enterprise pricing
Pay only for markets you ship
Clear scale path to add asset classes

Same data, same SLA, same schema

See your scenario in here?

Most teams find one of the eight above lines up with their workload. Start with the matching product, 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.

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