Data Reliability, Rate Limits & Freshness

StockAPIS unifies prices, OHLCV, order books, news and sentiment from 80+ sources behind one API with a 99.9% success rate, normalized rate limits and predictable data freshness.

Overview

Every market-data source behaves differently: Binance throttles by weight, Coinbase by request count, Polygon and Bloomberg by plan tier, and on-chain providers by compute units. StockAPIS sits in front of all of them, absorbs that complexity, and hands you clean, normalized JSON. You call one API; we manage upstream quotas, retries, failover and freshness.

Reliability Stack

Multi-Source Redundancy

• Coverage: 80+ platforms across crypto, equities and news
• Failover: automatic fallback between providers for the same instrument
• Cross-checks: prices reconciled across exchanges to flag outliers
• Success Rate: 99.9% first-attempt success on supported endpoints
• Speed: average 120-300ms for cached quotes, 400-800ms for live pulls

Upstream Quota Management

StockAPIS tracks each provider’s native limits so you don’t have to:

• Binance request-weight budgets and IP/order limits
• Coinbase, Kraken, Bybit and OKX per-endpoint REST limits
• Polygon, Finnhub, Alpha Vantage and Twelve Data plan tiers
• NYSE/Nasdaq consolidated feed entitlements
• News and social pull intervals (Bloomberg, Reuters, StockTwits)

Request Management

Intelligent scheduling keeps you inside every quota:

• Per-source rate limits respected and pooled across your account
• Distributed request timing to avoid bursts
• Automatic retry with exponential backoff and jitter
• Request queue management with priority for live trading reads
• Peak-session load balancing (market open, funding windows)

How It Works

Request Flow

Your API Call → StockAPIS Gateway → Source Selection → Exchange / Data Provider → Normalized Response

Each request:

1. Routed to the best available source for the instrument
2. Budgeted against that source’s live quota
3. Sent with correct auth, signing and headers
4. Response validated, normalized and timestamped
5. Returned to you in a consistent JSON schema

Automatic Handling

StockAPIS automatically handles:

• Upstream rate-limit tracking and backoff
• API key rotation and request signing (HMAC, JWT)
• Symbol normalization (BTCUSDT vs BTC-USD vs BTC/USD)
• Timezone and timestamp alignment (UTC, exchange epoch)
• Failover when a provider degrades or rate-limits
• Provider schema changes and endpoint deprecations

Reliability Features

99.9% Success Rate

Achieved through:

• Multi-provider fallback chains per instrument
• Real-time source health monitoring
• Automatic adaptation to exchange maintenance windows
• Dedicated connectors per platform

Zero Maintenance

You never worry about:

• Per-exchange rate-limit accounting
• API key signing and rotation
• Symbol and field mapping across sources
• Provider API version changes
• Infrastructure scaling during volatility spikes

Data Integrity

Clean, trustworthy market data:

• Outlier detection across redundant price sources
• Gap detection and backfill for OHLCV history
• Order-book consistency checks (crossed/locked books flagged)
• Explicit as_of timestamps on every record

Best Practices

Optimize Request Efficiency

Use batch endpoints instead of per-symbol loops:

# Good: one batched quote call
quotes = api.platforms.binance.get_quotes(
    symbols=['BTCUSDT', 'ETHUSDT', 'SOLUSDT']
)
 
# Less efficient: one request per symbol
for symbol in symbols:
    quote = api.platforms.binance.get_quote(symbol)

Cache Frequently Accessed Data

Reduce redundant pulls for slow-moving data like reference and fundamentals:

from functools import lru_cache
 
@lru_cache(maxsize=2000)
def get_symbol_metadata(symbol):
    return api.platforms.polygon.get_ticker_details(symbol)

Stream Instead of Poll

For live prices and order books, subscribe instead of polling:

# Stream live trades and book updates
api.stream.subscribe(
    channel='trades',
    source='binance',
    symbols=['BTCUSDT', 'ETHUSDT'],
    on_message=handle_tick
)

Rate Limits

Standard Plans

• Starter: 100 requests per minute
• Professional: 500 requests per minute
• Enterprise: 2000 requests per minute

These are StockAPIS account limits; upstream exchange quotas are pooled and managed for you under the hood. See pricing for full tier details.

Best Practices

• Spread requests over time and avoid open-bell bursts
• Use batch and bulk endpoints where available
• Cache reference data and fundamentals
• Implement exponential backoff on 429 responses

Monitoring

Health Dashboard

Track your usage:

• Requests per minute and remaining quota
• Per-source success rate
• Average response and data-freshness latency
• Error types (429, upstream timeout, source degraded)

Alerts

Get notified when:

• Success rate drops below 95%
• Rate limit is approaching
• A source enters maintenance or degrades

Technical Specifications

Response Times

• Average: 120-300ms (cached quotes)
• P95: 800ms
• P99: 1800ms

Availability

• Uptime SLA: 99.9%
• Incident response: within 15 minutes
• Source monitoring: 24/7 across all markets

Data Freshness

Freshness varies by data type and source:

• Live prices / trades: real-time stream, sub-second
• Quotes (REST): 1-5 second updates
• Order book snapshots: 100ms-1s depending on exchange
• OHLCV candles: closed on bar boundary (1m, 5m, 1h, 1d)
• Equities EOD & fundamentals: end-of-session, daily
• News headlines: near real-time (Bloomberg, Reuters, CNBC)
• Social sentiment: 1-15 minute rolling windows (StockTwits, Reddit)
• On-chain metrics: per block / per indexer cycle

Source Coverage by Type

Reliability characteristics differ by category — choose the right source for your use case:

• Crypto exchanges — live prices, order books, trades (Binance, Coinbase, Kraken, Bybit, OKX)
• Crypto data — aggregated market caps, on-chain, DeFi metrics
• Stock exchanges — NYSE, Nasdaq, CME consolidated data
• Brokers — account, positions and execution feeds
• Financial data APIs — Polygon, Finnhub, Alpha Vantage, FRED
• Financial news — Bloomberg, Reuters, CNBC, MarketWatch
• Social signals — StockTwits, Reddit, X/Grok sentiment

Get Started

Reliability, rate limits and failover are handled automatically:

from stockapis import StockAPIS
 
api = StockAPIS(api_key='your_api_key')
 
# That's it - just call the API
quote = api.platforms.binance.get_quote('BTCUSDT')

To start building, see the Getting Started guide, or contact us about Enterprise freshness and volume SLAs.