AI detectors for customer support quality assurance: the cards with an API, a short-text statement, a bulk route and a retention policy
An AI detector fits a customer support quality assurance team when four fields on its card are stated together, and 2 of the 72 cards in the index state all four by the api, minimum input, bulk and retention fields read on 8 November 2026 in the data file: Phrasly and Sapling (phrasly.ai, business.phrasly.ai, sapling.ai/docs/api/detector, sapling.ai/privacy). The four fields follow from what a support QA review is: an API, because a QA team scores tickets and chat transcripts by the thousand through its help desk rather than by paste; a stated minimum under 500 characters or a statement of how text that short is handled, because a support reply is two or three sentences; a bulk or batch route, because a week of transcripts arrives as a file; and a stated retention policy, because the text being checked is a customer's. Four more cards state three of the four, or two with the shortest stated minimum, and sit in the second table. This page is one of the views under AI detectors by use case; the marketplaces and reviews view reads the same short-text fields for product reviews without the retention test, the business view adds team seats, and the full index shows all 72 cards.
- Field 1Minimum or short-text statement
- Field 2API
- Field 3Bulk route as stated
- Field 4Retention as stated
- Field 5Study records
- Field 6Source, read date
Four, read in this order. The api field must state an available API with documentation, and 39 of the 72 cards do. The minimum input field must state a minimum under 500 characters, or the input limits field must state what happens to text under that length, because a support reply of 40 to 80 words is 220 to 440 characters at the index's rate of 5.5 characters a word and a detector that asks for 1,000 characters scores nothing. The bulk field must state a batch, bulk or CSV route. The retention field must state a period or state that submissions are not stored, in the vendor's words. A card is in the first table only when all four are stated; a card that states three is in the second, with the missing field named, because a team that already holds a data processing agreement can live without the retention statement and a team that scores tickets one at a time can live without bulk. The deciding fields are stated fields, not quality fields: no study in the index scored any detector on support transcripts, and the nearest record, Pegoraro 2023, scored responses to questions rather than replies to customers. Field rules are in the methodology.
Which fields decide fit for support QA?
| Detector | Minimum or short-text statement | API | Bulk route as stated | Retention as stated | Study records | Source, read date |
|---|---|---|---|---|---|---|
 Phrasly | Web tool: "at least 30 words long for accurate results" (about 165 characters); Business API: at least 50 words a request | business.phrasly.ai, up to 15,000 characters a request, $0.02 per 1,000 words on the Business plan | "Bulk scans from a CSV of up to 100 documents" on the Business API | "All text analyzed by our AI detector is processed securely and deleted immediately after analysis. We don't store your writing" | 0 | phrasly.ai/ai-detector, phrasly.ai/terms/privacy, 8 November 2026 |
 Sapling | API: at least 300 characters recommended; results on text under 500 characters returned with a low_confidence flag; web tool "more accurate after about 50 words" | sapling.ai/docs/api/detector, up to 200,000 characters a request, from $0.005 per 1,000 characters | 5 files a batch free, 10 on Pro and Enterprise | "AI detection results are cached on the entire text for 3 days"; a zero_retention flag scores a text without a copy being kept | 3 | sapling.ai/ai-content-detector, sapling.ai/privacy, 8 November 2026 |
Statements as each vendor makes them, read 8 November 2026 and ordered by name; the four columns are the four deciding fields, and every cell quotes the card.
Four cards that state three of the four fields, read 8 and 9 November 2026; Copyleaks states two and is kept because its minimum is the shortest stated beside Phrasly's. The other 66 cards state fewer than three, state no API, or take media rather than text, and are not listed; the short texts question lists every stated minimum in the index and the bulk and batch view every bulk route.
Why each card is in this view
- AIDI-D-0012Phrasly
the one card whose four statements are all on the vendor's own pages in plain terms, a 30-word floor on the web tool and 50 words on the API, a CSV bulk route of up to 100 documents and a deletion sentence in the privacy terms (phrasly.ai/ai-detector, phrasly.ai/terms/privacy, read 8 November 2026); no study record, so nothing outside the vendor's pages says how it scores a short reply.
- AIDI-D-0010Sapling
the API documentation says what happens below 500 characters rather than refusing the text, which is the statement a QA team scoring two-sentence replies needs, and the privacy page states the 3-day cache and the zero_retention flag that turns it off (sapling.ai/docs/api/detector, sapling.ai/privacy, read 8 November 2026); 3 study records, including 0 of 42 human papers flagged in Walters 2023 (Walters 2023 record).
What the evidence says for short support text
No record in the studies index scored a detector on customer support replies, chat transcripts or tickets, so the evidence a QA team can read is indirect in two ways. The closest record by shape is Pegoraro 2023, which ran 20 detection tools and methods on a benchmark of 131,512 responses to 24,322 questions, 58,546 human and 72,966 from ChatGPT, and found no method that identified more than 47.3% of the ChatGPT responses, with ZeroGPT the best online tool at a 45.7% true positive rate and a 92.2% true negative rate (Pegoraro 2023 record, arXiv 2304.01487, read 9 November 2026). Responses to questions are the nearest published analogue to support replies, and the record's headline is that more than half of the machine-written responses passed every tool it tested. The closest records by length are the short-text ones: Chaka 2023 ran five free tools on 21 chatbot responses and 30 translations, and Kar 2024 ran ten free tools on one 500-word article and its paraphrases (Chaka 2023 record; Kar 2024 record), and neither scored text as short as a support reply.
The second indirect reading is the false positive evidence, because a QA score that flags an agent's own reply as machine-written is the error with a cost to a person. Sapling's one printed human-text figure is 0 of 42 first-year composition papers in Walters 2023, with 31% returned as uncertain (Walters 2023 record, Table 4); Phrasly, AI or Not, Smodin and TruthScan have no printed human-text rate, and Copyleaks' lowest is 0 of 18 in Weber-Wulff 2023 on documents far longer than a reply (Weber-Wulff 2023 record). The false positive rate ranking lists every printed rate, and the marketplaces and reviews view reads the same cards for reviews. A team that scores agent replies at volume will see both error kinds, and the vendors' own caveats say so: Sapling's page states that the shorter and more general a text is, the more likely a false positive (sapling.ai/ai-content-detector, read 8 November 2026). No detector score should be the only evidence in a misconduct, hiring or publishing decision, and a QA flag on a support reply is a prompt for a human read, not a finding about the agent.
Sources
- https://phrasly.ai/ai-detector (read 8 November 2026)
- https://business.phrasly.ai/docs/ai-detection-api (read 8 November 2026)
- https://phrasly.ai/terms/privacy (read 8 November 2026)
- https://sapling.ai/ai-content-detector (read 8 November 2026)
- https://sapling.ai/docs/api/detector/ (read 8 November 2026)
- https://sapling.ai/privacy (read 8 November 2026)
- https://docs.aiornot.com/ (read 9 November 2026)
- https://copyleaks.com/ai-content-detector (read 8 November 2026)
- https://smodin.io/ai-content-detector (read 9 November 2026)
- https://truthscan.com/truthscan-ai-text-detection-api-documentation (read 9 November 2026)
- https://truthscan.com/privacy (read 9 November 2026)
- https://arxiv.org/abs/2304.01487 (Pegoraro et al. 2023, read 9 November 2026)
- https://www.degruyterbrill.com/document/doi/10.1515/opis-2022-0158/pdf (Walters 2023, read 8 November 2026)
Revision log: 2026-11-10: view created at index version 2026.11.13 (twelfth wave)
FAQ: AI detectors for customer support QA
Which AI detectors state all four fields a support QA team needs?
Two of 72 on 8 November 2026: Phrasly (30-word floor, Business API, CSV bulk scans of up to 100 documents, text deleted after analysis) and Sapling (300 characters recommended with a low_confidence flag under 500, API, 5 to 10 files a batch, a 3-day cache with a zero_retention flag), by the api, minimum input, bulk and retention fields on each card.
Is there a study of AI detectors on customer support replies?
No. The nearest record is Pegoraro 2023, which scored 20 tools on 131,512 responses to 24,322 questions and found no method above a 47.3% true positive rate on ChatGPT responses (Pegoraro 2023 record, read 9 November 2026); no record in the studies index used support transcripts.
What is the shortest text these detectors accept?
Phrasly's web tool asks for 30 words and its API for 50; AI or Not takes 250 characters a request; Copyleaks asks for 255 on the web platform; Sapling recommends 300 characters and flags results under 500 as low confidence, by the input limits fields read 8 and 9 November 2026. The short texts question lists every stated minimum.
Which of these detectors state that transcripts are not kept?
Phrasly ("deleted immediately after analysis"), Smodin ("never stored or shared") and AI or Not ("deleted immediately after inference") state no storage; Sapling states a 3-day cache that a zero_retention flag turns off, and TruthScan 30 days by default, by the retention fields read 8 and 9 November 2026. The data retention ranking sorts every stated period.
Can a QA team score tickets in bulk?
Phrasly (CSV of up to 100 documents on the Business API), Sapling (5 or 10 files a batch), TruthScan (ZIP batches of 500 or fewer with CSV export) and Smodin ("bulk processing" on Premium) state a route, by the bulk fields read 8 and 9 November 2026; AI or Not and Copyleaks state none. The bulk and batch view lists every stated route in the index.
