IDEV-2578: add all available parameters for feeds in CLI

README.md

@@ -284,6 +284,49 @@ The Feed API standard access pattern is to periodically request the most recent
     - Either an `after=-60` query parameter, where (in this example) -60 indicates the previous 60 seconds.
     - Or `after` and `before` query parameters for a time range, with each parameter accepting an ISO-8601 UTC formatted timestamp (a UTC date and time of the format YYYY-MM-DDThh:mm:ssZ)
 
+### Feed parameters
+
+The feed methods accept the following parameters, grouped by purpose. Availability depends on the feed (see the notes below the table).
+
+#### Session Management Parameters
+
+- `sessionID`: A custom string used to distinguish between different sessions. Required when using `fromBeginning`.
+- `after`: Start of the query window. Either an integer offset relative to now in seconds (e.g. `-60`), or an absolute ISO 8601 UTC datetime (`YYYY-MM-DDTHH:MM:SSZ`).
+- `before`: End of the query window (inclusive). Either an integer from `-1` to `-432000` (seconds before now), or an absolute ISO 8601 UTC datetime. The query window covers at most the most recent 5 days; a value older than 5 days returns no records.
+- `fromBeginning`: Boolean (`true`/`false`/`1`/`0`, default `false`). Requires a valid `sessionID`. When `true` on the first request of a new session, returns the first hour of data in the time window instead of the last. Using it with an existing `sessionID` returns an HTTP 406; using it without a `sessionID` or with a non-boolean value returns an HTTP 422.
+
+    ```python
+    api = API(USERNAME, KEY)
+    api.nod(sessionID="my-new-session-id", after=-3600, fromBeginning=True)
+    ```
+
+#### Filter Parameters
+
+- `domain`: Filter for an exact domain or a substring contained within a domain by prefixing or suffixing your substring with `*`.
+- `overall_min`, `malware_min`, `phishing_min`, `spam_min`, `proximity_min`: Integer risk score thresholds (range `1` to `99`, optional). Available on the `realtime_domain_risk` and `domainhotlist` feeds only. When multiple are supplied they act as a logical AND — a domain must meet ALL specified thresholds to be returned.
+
+    ```python
+    api = API(USERNAME, KEY)
+    api.domainhotlist(after=-3600, overall_min=70, phishing_min=50)
+    ```
+
+- IP feed filters (available on the `iprisk` and `iphotlist` feeds only). All are optional integers/strings and combine as a logical AND:
+    - Domain activity & volume: `pdns_resolutions_min`, `bad_pdns_resolutions_min` (positive integers, distinct/bad domains resolving to the IP in the last 24 hours) and `total_domains_max` (positive integer; caps total hosted domains to filter out superhosters like CDNs).
+    - Threat intelligence & combined risk percentages: `third_party_threats_min` (positive integer), plus `all_threats_combined_percent_min`, `combined_phishing_percent_min`, `combined_malware_percent_min`, `combined_spam_percent_min` (percentages `0` to `100` of hosted domains confirmed or predicted malicious).
+    - Confirmed threat percentages: `all_threats_percent_min`, `percent_phishing_min`, `percent_malware_min`, `percent_spam_min` (percentages `0` to `100` of hosted domains actively confirmed).
+    - Infrastructure & geolocation: `asn` (integer, digits only — no `AS` prefix or wildcards), `organization` (exact name, no wildcards) and `country_code` (case-sensitive two-letter code, e.g. `CN`, `US`, `NL`).
+
+    ```python
+    api = API(USERNAME, KEY)
+    api.iprisk(after=-3600, bad_pdns_resolutions_min=5, total_domains_max=1000, country_code="US")
+    ```
+
+#### Result formatting parameters
+
+- `output_format`: `csv` or `jsonl` (default `jsonl`). Not available on the `domainrdap` feed. `csv` is not available for `download` endpoints.
+- `headers`: When `csv` output is used, adds a header row to the first line of the response.
+- `top`: Positive integer from `1` to `1,000,000,000` limiting the number of results in the response payload. 
+
 ## Handling iterative response from RTUF endpoints:
 
 Since we may dealing with large feeds datasets, the python wrapper uses `generator` for efficient memory handling. Therefore, we need to iterate through the `generator` if we're accessing the partial results of the feeds data.