A practical guide to RSS monitoring for prediction-market evidence in TEMIRIN using configured records, explicit market identity, current controls, and human review.
July 11, 2026 · 4 min read
RSS monitoring works best when each configured feed has a clear research purpose. Start with official releases, primary data publishers, or specialist sources that regularly cover a market category on the watchlist. Record the feed URL, owner, category, and reason it matters. A focused source list makes health problems easier to diagnose and gives reviewers a known starting point during a fast-moving event.
Review the publisher schedule and update behavior before choosing an operating cadence. Some feeds publish only after formal releases, while others update throughout the day or revise items at the same URL. TEMIRIN stores the observations it receives; the team should document what timeliness is reasonable for that source. This expectation helps distinguish a quiet feed from a failed connection.
For each item, retain the configured feed, canonical article URL, publisher identity, available publication time, observation time, and stored content. Tracking parameters, redirects, and feed variants can point to the same underlying page, so canonical identity matters. A reviewer should be able to move from a deterministic brief back to the exact stored item and then open its primary source.
Content deduplication keeps repeated copies from overwhelming the evidence view. Preserve the duplicate relationship and original record rather than treating every appearance as separate support. When a publisher corrects an article, store the later observation and keep an attributable note describing the change. Collection history, factual content, and reviewer interpretation should remain separate so each can be inspected on its own.
An RSS item belongs beside a watchlist market only when it carries a supported explicit market identifier. Verify that ID against the exact question, outcome, close time, and resolution source before relying on the link. If the identifier is absent, keep the item in source context. The record can still support research without being attached to a market it has not been configured to describe.
When several feed items refer to one configured market, compare their claims and timestamps without turning item count into a vote. An official release, a correction, and repeated coverage play different roles. Capture a concise human note explaining which field matters for the contract. This creates an inspectable evidence trail while leaving interpretation attributable to the reviewer who read the source.
A broken URL, parse error, stale observation, or changed page format belongs in the source-health record. Show the last attempt, latest successful item, current status, and safe diagnostic detail. Do not hide a failure behind the previous successful content. An operator should be able to tell whether the feed is quiet, unavailable, or producing records that TEMIRIN cannot process correctly.
Test one known feed item after onboarding and after material configuration changes. Confirm publisher identity, canonical URL, timestamps, stored content, duplicate state, and workspace scope. When a failure is corrected, preserve the incident and later success rather than erasing the gap. A small source inventory with owner and last-check date helps the team find abandoned inputs before they affect research.
For a linked watchlist record, preserve the trigger price and show a separately timestamped current price. Bid, ask, spread, and visible depth can add public market context, while the RSS item keeps its own publication and observation times. Current policy state, read-only public-wallet exposure, and the reviewer note should remain labeled as separate records around the evidence rather than being folded into the feed item.
The user may record an authenticated decision and later create a separate paper order. That paper record is evaluated against per-order notional, rolling twenty-four-hour notional, per-market exposure, and portfolio concentration. Journal analytics and export can then connect source, market, decision, and paper IDs for review. Keeping those identifiers distinct preserves provenance from the feed through the final research record.
Stored RSS and web evidence uses canonical identity and content deduplication. Repeated entries remain one evidence trail, while fetch attempts and parser state stay in separate operational history.
A fetch or parser failure is an operational state for the configured feed. It should be shown with its time and must not be interpreted as confirmation, contradiction, or disappearance of the underlying event.
The stored item must include an explicit market ID for a market already configured in the workspace. A person can keep other feed items unlinked until the correct market and resolution wording are verified.
Yes, after the evidence is linked to an explicit configured market, the user may create a separate paper simulation. Feed provenance stays distinct from the server checks and the simulation result.
