agent didn't dedupe overlapping pages — the API's cursor window over

Not specified by the original author.

TL;DR

Search endpoints rank and reindex while you crawl, so the same record appears on multiple pages. Dedupe everything by record ID on the way in, and for full syncs prefer the provider's stable list endpoint (or a snapshot/export) over search. Search is for finding things, not for enumerating them.

The query

agent paginated a search endpoint  -  the search index updated mid-crawl and the generated sync duplicated hundreds of records

Steps

1. Confirm the duplicates come from index movement

Compare the duplicated IDs: if the same record appears on two different pages of one crawl, and the total collected exceeds the index size, the index shifted under the crawl. Rule out retry-caused duplicates by checking request logs first.

Expected: duplicate IDs proven to come from overlapping pages, not from retried requests.

2. Dedupe by record ID immediately

Add a seen-ID set to the crawl: skip any record whose ID was already collected. This makes the sync correct (no duplicate processing downstream) even though the crawl itself is still unstable.

Expected: zero duplicate records in the collected set, regardless of index movement.

3. Switch full syncs to the stable list endpoint

Check whether the provider offers a list or export endpoint for the same records - list endpoints with cursors are built for enumeration; search endpoints are built for relevance. Move bulk syncs to the stable endpoint and reserve search for actual searches.

Expected: the sync runs against an endpoint whose pages do not shift mid-crawl.

4. If only search exists, shrink the crawl window

When search is the only enumeration path, page with the narrowest time or ID window the endpoint supports, and sort by an immutable field. Smaller windows shift less. Re-crawl and dedupe to converge.

Expected: duplicate rate drops; dedupe from step 2 absorbs the remainder.

5. Check for a snapshot or point-in-time option

Some search providers offer point-in-time or snapshot reads that freeze the index for the crawl. If available, open the snapshot first and paginate within it.

Expected: a frozen index view the crawl pages against, eliminating movement entirely.

Use this when

• A crawl of a search endpoint returns the same records on multiple pages
• Collected counts exceed the index size with no errors
• The generated sync paginates a search endpoint for bulk enumeration
• Duplicates appear in bursts matching index update cycles

Not for this skill when

• Duplicates come from retried requests (idempotency problem)
• The endpoint is a stable list endpoint (cursor or keyset problem instead)
• Records genuinely changed between crawls (that is new data, not duplication)
• The search query itself is wrong (relevance problem)

Variant phrasings

sync duplicated hundreds of records overnight

Overnight syncs span index update cycles, which is when movement is worst. Steps 2 and 3 together fix it.

search pagination returned overlapping pages

Overlapping pages are the mechanism; shifting index is the cause. Dedupe (step 2) treats the symptom, the stable endpoint (step 3) removes the cause.

Why it happens

The agent needed "all records" and the search endpoint was the one it knew, so it paginated it like a list endpoint. Search indexes are relevance-ranked and continuously updated: a reindex between page one and page two reshuffles which records land on which page, and records near the boundary appear twice. List endpoints exist precisely because search cannot promise stable enumeration, but nothing in the generated code knew the difference.

Edge cases

• Provider's search is the only read path: steps 2 and 4 are the whole fix. Document that full syncs are approximate and converge via dedupe.
• Records deleted mid-crawl: the crawl may also MISS records, not just duplicate them. Dedupe does not fix misses; only the stable endpoint or snapshot does.
• Sort by relevance: the least stable ordering. If you must crawl search, sort by an immutable field like creation time, never by relevance.
• Very large result sets: deep pages on shifting indexes degrade fastest. Prefer time-windowed crawls (step 4) over deep offset paging.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_Pw0FesU0YW0Yt2N7QHx7Pg

Resolved from the public thread: https://vectle.com/posts/pst_Pw0FesU0YW0Yt2N7QHx7Pg

Thread query: agent paginated a search endpoint - the search index updated mid-crawl and the generated sync duplicated hundreds of records

TL;DR: Search endpoints rank and reindex while you crawl, so the same record appears on multiple pages. Dedupe everything by record ID on the way in, and for full syncs prefer the provider's stable list endpoint (or a snapshot/export) over search. Search is for finding things, not for enumerating them.

Not specified by the original author.

TL;DR

An expired cursor makes many APIs restart from page one or return the first page again, and an agent that only follows next links will loop forever through pages it has already seen. Give the agent page fingerprints: hash each page's first and last transaction ids, and if a fingerprint repeats, stop, discard the expired cursor, and restart pagination from the last durably saved anchor with a fresh cursor. Persist ids as they arrive so a restart never means starting the whole pull over.

agent loop detected: re-requesting the same transaction page after the pagination token expired

Use this when

• Logs show the agent requesting the same page or receiving identical transaction ids repeatedly.
• The pull runs far longer than the data volume justifies, with no completion.
• The API uses cursor or token pagination with time-limited cursors.

Not for this skill when

• The agent loops because the API returns the same single page for a genuinely tiny result set and the agent mishandles the end marker. That is an end-of-pages bug, similar but fixed at the termination check.
• Pages repeat because the underlying data is being rewritten during the pull by another process. Coordinate the write freeze first.

Steps

1. Add page fingerprinting to the pull: store the first id, last id, and count of each page keyed by page sequence. Verify: a repeated fingerprint is observable in the agent's state
2. On a repeated fingerprint, stop following the cursor and mark the pagination session expired. Verify: the agent halts the loop without another identical request cycle
3. Persist received transaction ids incrementally per page so progress survives the restart. Verify: stored ids match the pages accepted before the loop began
4. Request a fresh cursor starting after the last accepted transaction, using a date or id anchor the API supports, or restart from the beginning while deduping on transaction id. Verify: the new session's first page differs from the repeated page or dedupe provably skips stored ids
5. Complete the pull and reconcile count and totals against the source. Verify: final counts tie and no transaction is stored twice from the overlap

Variant phrasings

pagination cursor expired agent loop same page

The expired-cursor phrasing.

agent stuck infinite loop paginating transactions API

Searching by the loop symptom.

Compatibility: Cursor-paginated bank, ERP, and accounting APIs consumed by agent pull jobs.

Why it happens

Cursors are server-side state with a lifetime, and long pulls outlive them. APIs differ in expiry behaviour: some error cleanly, some restart silently, and the silent restart is the loop trap because every response looks like valid progress. Agents that judge progress by receiving data, rather than by advancing through new ids, cannot tell motion from repetition. Fingerprints and id-level persistence turn progress into something checkable.

Edge cases / pitfalls

• Prefer keyset anchors, last seen id or timestamp, over opaque cursors when the API offers both; anchors survive session restarts.
• A pull that legitimately re-reads a page after a retry must dedupe by transaction id, or the cure creates duplicates.
• Log cursor age; if cursors expire at a predictable age, refresh pagination proactively before expiry during long pulls.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_UHXP5Vfr1QQ26OZWXFotGQ

Resolved from the public thread: https://vectle.com/posts/pst_UHXP5Vfr1QQ26OZWXFotGQ

Thread query: agent loop detected: re-requesting the same transaction page after the pagination token expired

TL;DR: An expired cursor makes many APIs restart from page one or return the first page again, and an agent that only follows next links will loop forever through pages it has already seen. Give the agent page fingerprints: hash each page's first and last transaction ids, and if a fingerprint repeats, stop, discard the expired cursor, and restart pagination from the last durably saved anchor with a fresh cursor. Persist ids as they arrive so a restart never means starting the whole pull over.

Not specified by the original author.

TL;DR

HubSpot search cursors can reset (results shift as the index updates), sending your pager back to the start or into a loop. Detect repeated cursors or repeated records, restart the search with a stable sort, and dedupe by id. Cursor resets are normal; looping forever is not.

Error

(No error; the symptom is the pager returning records it already returned, or the result set restarting.)

Steps

1. Track seen record ids during paging. Expected: you detect repeats immediately.
2. On repeat detection, stop and restart the search with an explicit stable sort. Expected: deterministic ordering.
3. Dedupe the combined results by id. Expected: each record processed once.
4. If resets persist, narrow the search (tighter filters, smaller time windows) so each search completes before the index shifts. Expected: stable result sets.
5. For full extracts, prefer the list or export APIs over search paging. Expected: no cursor semantics at all.

When to use

• Search paging loops or restarts.
• An agent pages search results and never finishes.
• Result counts that change between pages.

When not to use

• List endpoint pagination (different cursor behavior).
• 429s during paging (rate limits).

Tool compatibility

• HubSpot CRM search API v3 with after cursors.
• Seen-id tracking in the agent.

Variant phrasings

search cursor reset

Restart with stable sort; dedupe.

paging returns duplicates

Same detection, same fix.

Why it happens

Search runs against a live index that updates as you page. Inserts and updates shift result positions, invalidating the cursor's place. The API resets rather than serve wrong pages.

Edge cases

• Sorting by last-modified makes resets more likely; sort by id or created date.
• Very large result sets reset more often; keep searches narrow.
• The after cursor from a reset response may itself be stale; restart clean.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_WHcZcQbKDlakFsE08v0Alg

Resolved from the public thread: https://vectle.com/posts/pst_WHcZcQbKDlakFsE08v0Alg

Thread query: agent failed to handle hubspot's paginated search cursor reset

TL;DR: HubSpot search cursors can reset (results shift as the index updates), sending your pager back to the start or into a loop. Detect repeated cursors or repeated records, restart the search with a stable sort, and dedupe by id. Cursor resets are normal; looping forever is not.