Build a Filecoin FIL storage cost tracker using the CoinMarketCap API, monitor your FIL token, discover DePIN storage listings, macro filters, Python examples, and production tips.
introduction
Filecoin is the world’s largest decentralized storage network.
Storage providers commit to hard drive capacity and earn FIL rewards proportional to the storage space they provide and the recovery requests they submit. The network uses cryptographic proofs – Proof of Copy (PoRep) and Proof of Space-Time (PoSt) – to ensure that data is stored continuously and correctly.
By early 2026, Filecoin is storing over 2 exabytes of data with over 3,500 active storage providers globally. The network’s FVM (Filecoin Virtual Machine) added programmability, enabling DeFi protocols, data DAOs, and data computation applications directly on Filecoin.
FIL is the native token of Filecoin L1. It’s a hybrid proof-of-work/spacetime chain – not EVM, not Cosmos, not Solana. FIL trades primarily on CEXs. The CMC DEX API does not index the original chain of Filecoin.
In this guide, you will build Filecoin storage cost tracker with CoinMarketCap APIwhere:
- The CoinMarketCap Core API powers the market signals engine
- Filecoin’s official API handles real-time storage prices, provider capacity, and transaction status
Illustration of architecture
The CoinMarketCap API strictly acts as an off-chain signaling layer to monitor FIL token prices, detect DePIN storage trend, and filter the overall system. It’s not an oracle for storage costs, monitoring transaction status, or feeding provider capacity.
Real storage deal prices, provider availability, sector seal costs, and retrieval fees must be validated via the official Filecoin API or Filecoin RPC.
Why are there no DEX endpoints
FIL is the native currency of the Filecoin L1 blockchain. The CMC DEX API only indexes EVM, Solana, and BNB Chain. FIL trades primarily on CEXs. Use Core API exclusively.
Project preparation
Import operating system
Import time
Import requestsCMC_API_KEY = os.getenv(“CMC_API_KEY”)
CMC_BASE_URL = “https://pro-api.coinmarketcap.com”vertices = {
“accept”: “application/json”,
“X-CMC_PRO_API_KEY”: CMC_API_KEY,
}# DePIN storage sector
STORAGE_ASSETS = [“FIL”, “AKT”, “RENDER”, “AR”]# DePIN/storage tags for local filtering
STORAGE_TAGS = {“depin”,”Distributed Computing”,”File Coin Ecosystem”,”Storage”}
Step 1: Asset map
Definition of Map_assets(symbols=”FIL,AKT,RENDER,AR”):
url = f”{CMC_BASE_URL}/v1/cryptocurrency/map”
parameters = {“symbol”:symbols}
r = request.get(url, headers=HEADERS, params=params)
r.raise_for_status()
returns r.json()[“data”]Definition of Resolve_fil_id(map_data):
For assets in Map_data:
if asset.get(“symbol”) == “FIL” and “filecoin” in (asset.get(“slug”) or “”).lower():
Return of assets[“id”]
Next return ((a[“id”] to get Map_data if a.get(“symbol”) == “FIL”), None)
FIL is a native L1 coin. The platform will be empty.
Step 2: Fetch quotes
Uncheck fetch_quotes(ids):
url = f”{CMC_BASE_URL}/v3/cryptocurrency/quotes/latest”
Parameters = {“id”: “,”.join(str(i) for i in ids)}
r = request.get(url, headers=HEADERS, params=params)
r.raise_for_status()
returns r.json()[“data”]native parse_quote(assets):
usd = next((q for q in assets.get(“quote”, []) if q.get(“symbol”) == “USD”), {})
returns {
“id”: assets.get(“id”),
“symbol”: assets.get(“symbol”),
“Price”: usd.get(“Price”),
“volume_24h”: usd.get(“volume_24h”),
“market_cap”: usd.get(“market_cap”),
“fdv”: usd.get(“full_diluted_market_cap”),
“pct_change_1h”: usd.get(“percent_change_1h”),
“pct_change_24h”: usd.get(“percent_change_24h”),
“pct_change_7d”: usd.get(“percent_change_7d”),
“tvl”: usd.get(“tvl”),
#null for FIL — original L1
“num_market_pairs”: assets.get(“num_market_pairs”),
}quotes = {str(a[“id”]): parse_quote(a) for raw_quotes}
Step 3: Create a FIL storage cost signal
The price of FIL directly affects the costs of storing USD on Filecoin. A higher FIL price increases the dollar cost of data storage.
Definition of compute_storage_cost_signal(fil_quote):
Price = fil_quote.get(“Price”) or 0
pct_24h = fil_quote.get(“pct_change_24h”) or 0# Approximate: Filecoin baseline storage cost ~0.000001 FIL/GiB/epoch
# 1 epoch = 30 seconds, 1 year ≈ 1,051,200 epochs
# Annual cost per GB ≈ 1.05 fils per year at baseline (on-chain validation)
approx_fil_per_gib_year = 1.05
approx_usd_per_gib_year = price * approx_fil_per_gib_yearreturns {
“fil_price”: price,
“approx_usd_per_gib_year”: approx_usd_per_gib_year,
“cost_trend”: “high” if pct_24h > 2
Otherwise it “drops” if pct_24h < -2
Another “stable”,
“volume_24h”: fil_quote.get(“volume_24h”) or 0,
}Definition of compute_fil_score (quote):
Result = 0
pct_1h = quote.get(“pct_change_1h”) or 0
pct_24h = quote.get(“pct_change_24h”) or 0
pct_7d = quote.get(“pct_change_7d”) or 0If pct_24h > 10: result += 30
Elif pct_24h > 5: result += 20
Elif pct_24h > 2: score += 10
elif pct_24h < -15: result -= 25
If pct_7d > 20: result += 20
elif pct_7d > 10: result += 10
If pct_1h > 2: result += 15
elif pct_1h > 0.5: score += 8Volume = quote.get(“volume_24h”) or 0
If folder > 50_000_000: result += 20
elif folder > 10_000_000: result += 10mcap = quote.get(“market_cap”) or 0
If mcap > 1_000_000_000: result += 15
Elif Makab > 300_000_000: result += 8pairs = quote.get(“num_market_pairs”) or 0
If pairs > 50: score += 8 pairs elf > 20: score += 4degree of return
Step 4: Compare storage sector and macro
undo compare_sector_storage(quotes, asset_ids):
Comparison = []
For the code in STORAGE_ASSETS:
assets_id = assets_ids.get(code)
If the asset ID is not:
He continues
q = quotes.get(str(asset_id), {})
compare.append({
“Symbol”: Symbol,
“market_cap”: q.get(“market_cap”) or 0,
“volume_24h”: q.get(“volume_24h”) or 0,
“pct_change_24h”: q.get(“pct_change_24h”) or 0,
“pct_change_7d”: q.get(“pct_change_7d”) or 0,
})
return sorted(compare, key = lambda x: -x[“pct_change_24h”])Definition of compute_momentum_delta(prev_quote, curr_quote):
prev_price = prev_quote.get(“price”) or 0
curr_price = curr_quote.get(“price”) or 0
if prev_price == 0:
Return nothing
returns {
“price_delta_pct”: ((curr_price – prev_price) / prev_price) * 100,
“acceleration”: curr_price > prev_price,
}Define fetch_storage_listings():
url = f”{CMC_BASE_URL}/v3/cryptocurrency/listings/latest”
Parameters = {“sort”: “volume_24h”, “sort_dir”: “desc”, “limit”: 500, “volume_24h_min”: 1_000_000} r = request.get(url, headers=HEADERS, params=params)
r.raise_for_status()
returns r.json()[“data”]Definition of filter_storage_assets(assets):
Results = []
For assets in assets:
tags = array(asset.get(“tags”) or [])
If STORAGE_TAGS or assets.get(“symbol”) are in STORAGE_ASSETS:
results.append(origins)
Return resultsdef fetch_macro_regime():
fg_url = f”{CMC_BASE_URL}/v3/fear-and-greed/latest”
as_url = f”{CMC_BASE_URL}/v1/altcoin-season-index/latest”
fg = request.get(fg_url, headers=HEADERS).json()[“data”]
tries:
as_idx = request.get(as_url, headers=HEADERS).json()[“data”]
altcoin_index = as_idx.get(“altcoin_index”) or 0 except exception:
altcoin_index = 0
Return {“fear_greed_value”: fg.get(“value”), “altcoin_index”: altcoin_index}Definition of is_regime_favorable(regime):
return (regime.get(“fear_greed_value”) or 0) > 50 and (regime.get(“altcoin_index”) or 0) >= 50
Step 5: Mass Flow
def run_filecoin_tracker(asset_ids, prev_fil_quote=None):
system = fetch_macro_regime()Raw_quotes = fetch_quotes(list(asset_ids.values()))
quotes = {str(a[“id”]): parse_quote(a) for raw_quotes}fil_id = assets_ids.get(“FIL”)
fil_quote = quote.get(str(fil_id), {})fil_score = compute_fil_score(fil_quote)
Storage_signal = compute_storage_cost_signal(fil_quote)
momentum = compute_momentum_delta(prev_fil_quote, fil_quote) if prev_fil_quote else is NoneIf not then it is_regime_favorable(system):
fil_score -= 15compare_storage = compare_storage_segment(bids, asset_ids)
tries:
lists = fetch_storage_listings()
Storage_assets = filter_storage_assets(listings)
Except for the exception:
Storage_assets = []Storage_trending = [
{“symbol”: a.get(“symbol”), “pct_24h”: (a.get(“quote”) or [{}])[0].get(“percent_change_24h”)}
For storage_assets[:10]
]returns {
“feel_signal”: {
“score”: fil_score, “price”: fil_quote.get(“price”),
“pct_24h”: fil_quote.get(“pct_change_24h”), “volume_24h”: fil_quote.get(“volume_24h”),
“momentum”: momentum, “regime_favorable”: is_regime_favorable(regime),
},
“storage_cost”: storage_signal,
“compare_storage”: compare_storage,
“storage_trending”: storage_trending,
“System”: the system,
“curr_quote”:fil_quote,
}
Common mistakes
Use DEX endpoints for FIL
FIL is a native L1 coin. The CMC DEX API covers only the EVM, Solana, and BNB series. Use Core API exclusively.
FIL is not filtered by alloy
Code=FIL may return multiple entries. Filter by a bar containing “filecoin”.
Citation analysis as a dictation in version 3
The quote is a list. Use the following((q for q in assets.get(“quote”, []) if q.get(“symbol”) == “USD”), {}).
Treat the USD/GiB cost estimate as a fixed price
approx_usd_per_gib_year is an approximation of the market price. Real storage deal prices depend on the competition of providers, the size of the sector and the duration of the deal. Verify via Filecoin’s official API before any storage budget.
Treating CMC as a storage cost oracle
CMC tracks market prices, not pricing Filecoin trades or provider capacity. Use Filecoin’s official API to get real storage cost data.
Final thoughts
Key separation:
- CoinMarketCap determines market conditions and narrative momentum for storing DePIN
- Filecoin’s official API verifies real storage prices and transaction status
