dynamicfeed/earthquakes-daily

Earthquakes Daily — M4.5+ global snapshot

A daily snapshot of every magnitude 4.5+ earthquake in the live USGS feed, exported through Dynamic Feed — a live, verifiable data API whose every response is Ed25519-signed. One file per day (data/YYYY-MM-DD.jsonl), one JSON object per earthquake per line.

• —Live source: https://dynamicfeed.ai (tool: earthquakes, endpoint POST /v1/batch) — keyless, no signup
• —Upstream source: USGS Earthquake Hazards Program
• —Licence: US public domain (USGS, 17 USC §105) — the snapshot inherits it
• —Update cadence: daily
• —Row counts vary daily with global seismicity (typically 10–60 M4.5+ events/day)

File format

The first line of every file is a `_meta` record ({"_meta": true, ...}) carrying the export date, the API call, upstream source + licence, freshness info, and the Ed25519 signature of the live batch response the rows were extracted from. All following lines are earthquake rows:

Signature verification

Every Dynamic Feed API response is signed with Ed25519 (key id df-ed25519-4cb32e72f333, canonicalization json-sorted-compact):

• —Public key: https://dynamicfeed.ai/.well-known/keys
• —Signing spec: https://dynamicfeed.ai/standard
• —In-browser verifier (paste any live response, tamper-test it): https://dynamicfeed.ai/proof

The _meta line of each snapshot stores the signature object exactly as returned by the live API, plus the SHA-256 of the raw signed response bytes, so each day's export is anchored to a verifiable live response. To verify end-to-end, fetch the live API yourself (snippet below) and check the signature per the spec.

Use the live API (keyless)

import json, urllib.request

req = urllib.request.Request(
    "https://dynamicfeed.ai/v1/batch",
    data=json.dumps({"calls": [
        {"tool": "earthquakes", "args": {"min_magnitude": 4.5, "limit": 200}}
    ]}).encode(),
    headers={"Content-Type": "application/json"},
)
resp = json.loads(urllib.request.urlopen(req).read())
quakes = resp["results"][0]["data"]["results"]
signature = resp["signature"]          # Ed25519, key df-ed25519-4cb32e72f333
print(len(quakes), "earthquakes;", "signed by", signature["key_id"])

Load this dataset

import json

rows = []
with open("data/2026-06-10.jsonl") as fh:
    meta = json.loads(next(fh))        # first line is the _meta record
    rows = [json.loads(line) for line in fh]
print(meta["upstream_source"], "-", len(rows), "earthquakes")

(If you use datasets.load_dataset("json", ...), filter out rows where _meta is true.)

About Dynamic Feed

Dynamic Feed serves 56 live data tools (weather, CVEs, markets, space, hazards, AI model pricing, ...) with a freshness + provenance envelope on every datapoint and an Ed25519 signature on every response. Keyless MCP + REST. Source catalog: https://dynamicfeed.ai/sources