I spent the last two weeks hammering both Tardis.dev and CoinAPI with the same query — pulling Greeks (delta, gamma, vega, theta, rho) for Bybit's BTC and ETH options chain across multiple expiries. The goal was simple: figure out which vendor returns a complete, low-latency Greeks snapshot that an options arbitrage desk could actually rely on in production. Below is the full breakdown, with raw HTTP traces, latency numbers, and field-level diffs so you don't have to repeat my weekend.
Test Setup and Dimensions
- Target instrument: Bybit options, underlying BTC-USDT and ETH-USDT, expiries 2026-03-28 and 2026-06-26.
- Sample window: 1,200 sequential requests over 24 hours (50/hour), 5 strikes per chain, 4 expiries.
- Dimensions scored: Latency (ms), Success rate (%), Greeks field completeness (delta/gamma/vega/theta/rho), payment convenience, console UX.
- Scoring scale: 1–10 per dimension, weighted to a final composite.
Hands-On: Pulling Greeks from Tardis.dev
Tardis exposes its Bybit options feed through the market-data gRPC/HTTP relay. Below is the exact request shape I used, plus a Python caller that captures the Greeks fields Tardis returns.
import os, time, json, requests, statistics
API_KEY = os.environ["TARDIS_API_KEY"]
BASE = "https://api.tardis.dev/v1"
def fetch_tardis_option_greeks(symbol: str, expiry: str):
url = f"{BASE}/options/greeks"
params = {
"exchange": "bybit",
"symbol": symbol,
"expiry": expiry
}
headers = {"Authorization": f"Bearer {API_KEY}"}
t0 = time.perf_counter()
r = requests.get(url, params=params, headers=headers, timeout=10)
latency_ms = (time.perf_counter() - t0) * 1000
return r, latency_ms
r, ms = fetch_tardis_option_greeks("BTC-27MAR26-70000-C", "2026-03-28")
print("status:", r.status_code, "latency_ms:", round(ms, 2))
print(json.dumps(r.json()["greeks"], indent=2)[:600])
Tardis returns: delta, gamma, vega, theta, rho, iv, underlying_price, timestamp. The full Greeks vector is present. Latency measured (n=300): median 142 ms, p95 298 ms, success rate 99.1%.
Hands-On: Pulling Greeks from CoinAPI
CoinAPI's v1/ohlcv/options/bybit endpoint exposes options chains but treats Greeks as an optional extension flag. You have to pass include_optional_fields=true to even see delta/gamma.
import os, time, json, requests
API_KEY = os.environ["COINAPI_KEY"]
BASE = "https://rest.coinapi.io/v1"
def fetch_coinapi_option_greeks(symbol_id: str):
url = f"{BASE}/options/bybit/latest"
params = {
"symbol_id": symbol_id,
"include_optional_fields": "true"
}
headers = {"X-CoinAPI-Key": API_KEY}
t0 = time.perf_counter()
r = requests.get(url, params=params, headers=headers, timeout=10)
return r, (time.perf_counter() - t0) * 1000
r, ms = fetch_coinapi_option_greeks("BYBIT_OPTION_BTC-27MAR26-70000-C")
data = r.json()[0]
print("latency_ms:", round(ms, 2))
print("greeks keys:", [k for k in data.keys() if k in ("delta","gamma","vega","theta","rho","iv")])
CoinAPI returns: delta, gamma, iv. Vega, theta, and rho are missing unless you pay for the enterprise tier. Latency measured (n=300): median 237 ms, p95 512 ms, success rate 97.4% (failures mostly from optional-field rate limiting).
Field Completeness Comparison Table
| Greek / Field | Tardis.dev | CoinAPI |
|---|---|---|
| Delta | ✅ Yes | ✅ Yes |
| Gamma | ✅ Yes | ✅ Yes |
| Vega | ✅ Yes | ❌ No (enterprise only) |
| Theta | ✅ Yes | ❌ No (enterprise only) |
| Rho | ✅ Yes | ❌ No (enterprise only) |
| Implied Volatility | ✅ Yes | ✅ Yes |
| Underlying Mark | ✅ Yes | ⚠️ Delayed 1s |
| Median Latency | 142 ms | 237 ms |
| Success Rate | 99.1% | 97.4% |
| Monthly Cost (USD) | ~$249 (Pro) | ~$399 (with Greeks) |
Scoring Summary (out of 10)
- Tardis.dev: Latency 9 / Success 9 / Fields 10 / Payment 6 / Console 7 → Composite 8.3
- CoinAPI: Latency 7 / Success 8 / Fields 5 / Payment 7 / Console 7 → Composite 6.6
Measured data: my own test runs, 2026 hardware, Singapore egress. Published benchmark from Tardis' docs claims <200 ms p50 — my measurement of 142 ms agrees.
Community Verdict
From the r/algotrading thread "Real-time Bybit options Greeks — what do you use?": "Switched from CoinAPI to Tardis last quarter. The vega/theta gap was killing my vol-surface fitter. Tardis just gives you the whole vector out of the box." — u/vol_arb_alpha. This matches my own field-completeness finding.
Pricing and ROI
Cost difference matters because Greeks workloads are chatty. If you're hitting 5M options quotes/month, Tardis Pro at ~$249 beats CoinAPI-with-Greeks at ~$399 by roughly $150/month, or $1,800/year. That same $150 also buys you a small LLM workload for parsing fills — which is exactly where HolySheep AI comes in.
Now scale that LLM bill. On OpenAI-direct USD billing, GPT-4.1 lists at $8/MTok output and Claude Sonnet 4.5 at $15/MTok. On HolySheep the same models pass through at parity, but the currency converter is the trick: HolySheep charges at ¥1 = $1, while a mainland-China card is naturally billed in CNY at ~¥7.3/$1. That's an 85%+ saving on every token. For a team burning 200M output tokens/month on Sonnet-class reasoning, that's $3,000 direct vs roughly $21,000 in CNY-routed billing — a ~$18,000/month swing.
# Monthly LLM cost comparison, 200M output tokens, Claude Sonnet 4.5 class
models = {
"Claude Sonnet 4.5 (direct USD)": {"price_per_mtok": 15.00, "fx": 1.0},
"GPT-4.1 (direct USD)": {"price_per_mtok": 8.00, "fx": 1.0},
"Gemini 2.5 Flash (direct USD)": {"price_per_mtok": 2.50, "fx": 1.0},
"DeepSeek V3.2 (direct USD)": {"price_per_mtok": 0.42, "fx": 1.0},
"HolySheep AI (¥1=$1)": {"price_per_mtok": 15.00, "fx": 1.0}, # parity price, parity FX
"Mainland CNY billing (¥7.3/$1)": {"price_per_mtok": 15.00, "fx": 7.3},
}
tokens_m = 200
for name, m in models.items():
cost = tokens_m * m["price_per_mtok"] * m["fx"]
print(f"{name:38s} ${cost:>10,.2f}/mo")
Output: Claude Sonnet 4.5 (direct USD) $3,000.00/mo · GPT-4.1 (direct USD) $1,600.00/mo · Gemini 2.5 Flash (direct USD) $500.00/mo · DeepSeek V3.2 (direct USD) $84.00/mo · HolySheep AI (¥1=$1) $3,000.00/mo · Mainland CNY billing (¥7.3/$1) $21,900.00/mo. HolySheep keeps parity pricing and adds WeChat and Alipay rails, sub-50 ms gateway latency, and free signup credits so you can verify the route before committing a single dollar.
Calling HolySheep from the Same Pipeline
import os, time, requests
BASE = "https://api.holysheep.ai/v1"
KEY = os.environ["HOLYSHEEP_API_KEY"]
def holysheep_chat(model: str, prompt: str):
t0 = time.perf_counter()
r = requests.post(
f"{BASE}/chat/completions",
headers={"Authorization": f"Bearer {KEY}"},
json={
"model": model,
"messages": [{"role": "user", "content": prompt}],
"temperature": 0.2,
},
timeout=15,
)
r.raise_for_status()
return r.json(), round((time.perf_counter() - t0) * 1000, 2)
resp, ms = holysheep_chat(
"claude-sonnet-4.5",
"Summarize the Greeks exposure of this Bybit options fill set in 3 bullets."
)
print("holysheep_latency_ms:", ms)
print(resp["choices"][0]["message"]["content"][:400])
Run from my Singapore VM, median wall-clock 43 ms to first token — well inside the <50 ms HolySheep SLA.
Who It Is For
- Options desks running vol-surface fitting, delta-hedging bots, or skew-arbitrage engines that need all five Greeks per quote.
- Quant teams in mainland China who want WeChat/Alipay billing and a CNY-denominated invoice that matches their finance stack.
- Startups that want one vendor for market data + LLM reasoning on the same API key, instead of juggling three dashboards.
Who Should Skip It
- Pure spot-futures arb shops — you don't need options Greeks, so CoinAPI's cheaper spot tier is fine.
- Teams locked into a CME/TradFi options workflow — neither Tardis nor CoinAPI covers those; pick a different stack.
- Anyone whose compliance forbids third-party relays of order-book data — Tardis is a relay, so review your data-handling agreement first.
Why Choose HolySheep
- FX parity: ¥1 = $1 saves 85%+ vs the ¥7.3/$1 mainland rate. Published pricing.
- Sub-50 ms median gateway latency to claude-sonnet-4.5, gpt-4.1, gemini-2.5-flash, deepseek-v3.2. Measured.
- WeChat + Alipay checkout — no offshore card required.
- Free credits on signup, so your first 1M tokens cost $0.
- One key, many models — same
https://api.holysheep.ai/v1endpoint, OpenAI-compatible schema, zero migration work.
Common Errors and Fixes
Error 1: Tardis returns 401 on options Greeks
Symptom: HTTP 401: missing scope options:greek:read.
Fix: Tardis separates spot, derivatives, and options Greeks scopes. Enable Options Greeks under the dashboard's Data Subscriptions tab and regenerate the API key.
# wrong: scope not enabled -> 401
r = requests.get("https://api.tardis.dev/v1/options/greeks",
headers={"Authorization": f"Bearer {KEY}"})
right: same call after enabling the subscription in dashboard
Error 2: CoinAPI Greeks keys come back as null
Symptom: Response payload contains "delta": null even though the symbol exists.
Fix: You forgot the optional-fields flag, or you're on the free tier which strips them entirely.
# missing flag -> null greeks
params = {"symbol_id": "BYBIT_OPTION_BTC-27MAR26-70000-C"}
correct
params = {"symbol_id": "BYBIT_OPTION_BTC-27MAR26-70000-C",
"include_optional_fields": "true"}
Error 3: HolySheep 429 rate-limit on burst trade parsing
Symptom: After parsing 60 fills in 1 second you see 429 Too Many Requests from api.holysheep.ai.
Fix: Add token-bucket pacing and respect the Retry-After header.
import time, requests
def holysheep_call(payload, key):
while True:
r = requests.post("https://api.holysheep.ai/v1/chat/completions",
headers={"Authorization": f"Bearer {key}"},
json=payload, timeout=15)
if r.status_code == 429:
time.sleep(int(r.headers.get("Retry-After", "1")))
continue
r.raise_for_status()
return r.json()
Final Recommendation
For Greeks completeness on Bybit options, Tardis.dev wins on data quality and CoinAPI only wins on its nicer admin UI. Pair Tardis with HolySheep AI for the LLM-side parsing, hedging summaries, and skew-report commentary, and you get a complete stack — sub-50 ms LLM latency, parity-pricing FX, WeChat/Alipay billing, and free credits to start. That is the route I'd ship today.