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reg-watch-status
x402
reg-watch-status is a paid API for AI agents from store.cryptotradecalc.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Polls the US Federal Register for a given topic and returns a stable fingerprint (latest document number + 7-day count) so monitoring agents can detect new regulatory activity without LLM cost.
Price / call$0.01
Success—
StatusUnknown
How this service works
reg-watch-status: Cheap change-detector for US Federal Register activity on any topic. Returns a stable latestDocumentNumber fingerprint plus a 7-day document count, so a monitoring agent can poll hourly and compare against its last value: unchanged means nothing was published and no further spend is needed. When it changes, escalate to /api/reg-changes for the delta or a topic brief for LLM analysis. No LLM, fast and byte-stable. Query: topic (required keyword or phrase).
Output
Returns a stable latestDocumentNumber fingerprint and a 7-day document count for the queried topic. If both values match the previous poll, nothing new was published; a change signals new Federal Register activity and warrants follow-up calls to richer endpoints.
Example use cases
Hourly regulatory alert for crypto policy
“Every hour, check the Federal Register for new documents on 'digital assets regulation' and let me know immediately if the fingerprint changes — no need to read the content yet, just flag if something new was published.”
Privacy law change detector
“Set up a lightweight monitor for the Federal Register on the topic 'data privacy' — poll it regularly and only escalate when the latest document number changes so we don't waste money on analysis runs.”
Environmental compliance watch
“I need to keep tabs on 'clean air act' filings in the Federal Register without burning through my budget — can you check the status fingerprint and alert me if the 7-day document count goes up?”
Technical details
Endpoint
GEThttps://store.cryptotradecalc.com/api/reg-statusWhen to prefer
Choose this endpoint when you need a cheap, byte-stable polling signal for US Federal Register activity and want to avoid LLM or heavy parsing costs on every check. It is ideal as the first stage in a two-tier monitoring pipeline: poll here frequently at $0.01/call, and only invoke costlier analysis endpoints when the fingerprint actually changes. Prefer it over full-text retrieval endpoints when the goal is purely change detection, not content analysis.
Side effects
- Missing required 'topic' query parameter — returns error indicating topic is required
- Topic returns zero documents — fingerprint may be null or zero count, not necessarily an error
- Federal Register upstream unavailable — may return timeout or 5xx error
- Overly broad topic keyword — returns high document counts with low specificity, making change detection noisy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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