Eliminate the 60-day reporting lag across frontier commodity, maritime, energy, and FX markets. Stream bitemporal spot prices, parallel-market clearing spreads, port congestion dwell times, and agro-meteorological stress via a single low-latency REST & CSV API.
Querying Meridian TimescaleDB...
Normalized Metric Ton spot quotes across Akure Wholesale, Lagos AFEX, and Ghana COCOBOD boards paired with official & parallel USD FX rates.
Automated HTML & PDF manifest extraction from port authority shipping positions. Tracks anchorage wait hours, berth dwell, and queue tonnage.
Root-zone soil moisture (3–9cm), daily precipitation, and >32°C Harmattan heat-stress flags across Ondo (NG), Ashanti (GH), Daloa (CI), and San-Pédro (CI).
Embedded inside every physical market tick. Captures true local clearing spreads for exporters and macro funds hedging NGN and GHS exposure.
Query any asset class or symbol via /v1/market/timeseries. Pass as_of for strict Point-in-Time backtesting (ingested_at <= as_of) or format=csv to stream directly into pd.read_csv().
import requests
import pandas as pd
API_URL = "https://api.meridianaltdata.com"
HEADERS = {"X-API-Key": "ak_live_quant_demo_998877665544332211"}
# Stream Point-in-Time multi-asset ticks directly into pandas
resp = requests.get(
f"{API_URL}/v1/market/timeseries",
headers=HEADERS,
params={"asset_class": "SOFT_COMMODITY", "as_of": "2026-11-13T12:00:00Z", "limit": 500}
)
df = pd.DataFrame(resp.json()["data"])
df["observed_at"] = pd.to_datetime(df["observed_at"])
print(df[["observed_at", "symbol", "country_iso", "venue_hub", "price_usd_normalized"]].head())
Dedicated SHA-256 API keys, Point-in-Time historical access, and global edge delivery.
Self-serve sandbox access for systematic researchers validating alpha signals.
Full production license for systematic commodity, macro, and multi-strategy trading pods.
Custom field-collector pipelines, metals/energy telemetry, & dedicated SLA.