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Sell Support Tickets

Helpdesk ticket archives, licensed for AI training. Not event tickets.

Years of Zendesk, Intercom or Gorgias history show how real problems get solved. Several AI data buyers publish what they pay for that, and who they will take it from. We tell you which ones your archive fits.

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Charged twice for one order

Ticket 48213

Status
Solved
Channel
Email
Priority
Normal
Tags
billing, duplicate-charge, refund
Replies
3
CSAT
Good

  1. Customer

    Mon 09:14

    Hi, I placed order on Saturday and my statement shows the same amount taken twice, both on the card ending . Can you check which one is real?

  2. Agent
    Mon 10:02

    Thanks for flagging this, and sorry for the scare. The second charge is a payment hold from a declined first attempt, not a second order. It drops off on its own, usually in three to five business days.

    I've added a note to order so if it's still there on Friday, reply here and I'll refund it by hand.

  3. Customer
    Thu 18:40

    It's gone this morning. Thanks for explaining instead of just telling me to wait.

Illustrative ticket. Names and numbers redacted, as buyers require.

What in a ticket archive is worth licensing?

The conversation, start to finish. A buyer wants the customer's problem in their own words, every reply in order, the internal note where an agent worked out what was wrong, and the outcome. That sequence is what an AI support agent has to learn, and it is hard to fake.

Around it sit the fields that give it shape: channel, tags, status changes, timestamps, the macro or saved reply that got reused, the satisfaction rating if you collect one. Long histories matter. Labelbox Prism, for one, lists longitudinal customer support as a data type it wants.

What has no value to a buyer, and real risk to you, is who the customer was. Names, emails, order numbers and card digits come out before anything else happens.

What each helpdesk export holds

The platform shapes the archive. Short notes on the six we hear about most; formats and plan limits are in each platform's own documentation.

Zendesk

Buyers ask for
The full thread in order with timestamps, who spoke (customer or agent, not their name), tags, status changes, and the macro text agents reused.
Strip first
Requester names and emails, phone numbers, organization names, anything typed into custom fields that holds an order or account number, and every attachment.

Freshdesk

Buyers ask for
Conversation order, the split between customer messages and agent replies, resolution status, ticket type and category fields, and canned response text.
Strip first
Contact names, emails and phone numbers, company names, and any notes where agents pasted account details.

Intercom

Buyers ask for
Whole chat sessions with turn order, which turns came from a bot and which from a person, the hand-off point, and the help article that answered the question.
Strip first
User attributes (names, emails, company, plan and location data you track), and any identifiers your product passes into the messenger.

Help Scout

Buyers ask for
Thread order, customer versus agent turns, tags, which mailbox a conversation came in on (as a category, not an address) and saved reply text.
Strip first
Customer profiles, email signatures (they carry phone numbers and titles), quoted earlier emails and attachments.

Jira Service Management

Buyers ask for
The request, the customer conversation, the internal diagnosis, the status path to resolution and the link to the bug or change that fixed it.
Strip first
Reporter and assignee names, customer organizations, internal hostnames, credentials or keys pasted into comments, and links into private systems.

Gorgias

Buyers ask for
Message order across channels, the intent behind each ticket (refund, where is my order, sizing), tags, macros and the outcome.
Strip first
Order numbers, shipping addresses, names, emails, phone numbers, payment details and social handles.

Full export notes, platform by platform

Who licenses support tickets, on published terms

Four buyers name support data on their own sites. This is how each one words its terms, as of 7 November 2026.

Buyers listing support tickets or records, alphabetical
BuyerPublished rangeEntry rule
Labelbox PrismRoughly $50K at the small, targeted end; $1M+ for big enterprise deals; a fee paid when the license is signed, then a cut of downstream revenuePrints no headcount floor; for support logs, busy consumer-facing companies are favored
micro1Headline of $100k-3M+ per company, split into three tiersWants established firms with 30 or more full-time staff and records mostly in English; sees most demand from US, UK and Canadian companies
NyneTypical partnership put at $100K+, moving with the kind and quantity of data on offerNeeds a minimum of 20 US-based, full-time W-2 employees and three-plus years in operation
Scale AIPuts partnership value at $10K–$1M+, explicitly as an illustration; regular deliveries push it up, and Scale guarantees none of itPrefers to begin at 40 or more employees, though each company is judged on its own

Disclosure: any buyer in this table could owe us a fee if our introduction leads it to a signed license. Rows run alphabetically, and fees play no part in what each row says.

Each buyer's terms in full

What gets checked before any introduction?

Each buyer's published rules, against what you told us. Headcount comes first, because the thresholds differ: 20 full-time US employees for Nyne, 30 for micro1, 40 as Scale AI's preferred start. Then years in business, the language of the tickets (micro1 wants mostly English), where the company is based, and whether your customers are consumers, which Labelbox Prism prefers for support logs.

Two questions decide whether a fit is worth anything: can you license this data under your own policy and terms, and could the tickets hold card or health details that have to come out first. If either is unclear, that is the first thing we say back.

What is a ticket archive worth?

$10K–$1M+Scale AI's illustration of partnership value, which it stresses is no guarantee
$100K–$3M+micro1, across the three tiers on its data page
From ~$50KLabelbox Prism at the small end, with $1M+ for big enterprise deals
$100K+Nyne's figure for a typical partnership

These are the tops of what buyers advertise, per company. Not one of them prices per ticket, and reported deals have been far smaller. Check where your archive sits by headcount, volume and history. Not an offer.

The rules that decide whether you can license at all

  • Your privacy policy and customer terms

    They say what you told customers you would do with their messages. If licensing for AI training is not covered, that comes before any price.

  • Ownership

    You must own the tickets or hold the right to license them. Support you ran for a client under contract is usually the client's data, not yours.

  • Personal data out first

    Every buyer here says it de-identifies, but the safest archive is one where names and numbers never leave your systems. Customers' personal data stays out unless your contract and the law allow it.

  • Your own lawyer

    Counsel on your side should read every draft, with special care over exclusivity. Labelbox Prism, for one, makes its licenses exclusive unless agreed otherwise.

  • Estimates are never offers

    Advertised ranges, and the estimators some buyers run, commit nobody to anything. The number comes after scoping, and it can be lower or zero.

Before any export: the short redaction list

  • Names of customers and agents, in fields, greetings and signatures.
  • Emails and phone numbers, including in quoted replies.
  • Order and account numbers, tracking numbers, invoice IDs.
  • Card digits and bank details, even the last four.
  • Health details customers volunteer.
  • Attachments and screenshots, out by default.

The full checklist, and what each buyer says it removes

How a ticket licensing deal runs

  1. Scoping

    A buyer asks what you hold: platform, years, volume, channels, languages. No data moves.

  2. Sample review

    Before signing off, look at real output. micro1 lets sellers look over representative samples; ask every buyer for the same courtesy.

  3. De-identification

    Identities are stripped. At Scale AI that work runs on your own systems, and no package leaves without your sign-off.

  4. Agreement

    Scope, rights, exclusivity and acceptance criteria are fixed in writing. Your lawyer reads it, not ours.

  5. Transfer and payment

    Money follows acceptance. micro1 commits to paying in full inside 30 days of it; Labelbox Prism pairs a signing fee with a later revenue share.

Sources behind this page
  1. micro1, micro1.ai/data, checked by Sell Support Tickets on 7 November 2026
  2. Scale AI, scale.com/data-partnership, checked by Sell Support Tickets on 7 November 2026
  3. Labelbox Prism, prism.labelbox.com, checked by Sell Support Tickets on 7 November 2026
  4. Nyne, nyne.ai/sell-company-data, checked by Sell Support Tickets on 7 November 2026

Questions support leads ask

Can you really sell support tickets?

You license them rather than sell them outright. Buyers such as micro1, Scale AI, Labelbox Prism and Nyne name support records or tickets on their own pages and pay under a licensing agreement, after personal details are removed.

What do buyers pay for a ticket archive?

They publish ranges per company, not per ticket: from $10K at Scale AI up to $3M+ in micro1's top tier. Those are ceilings. See where your archive sits; it is not an offer.

Do we need permission from our customers?

Your privacy policy and customer terms decide what you can license. If they do not cover it, fix that question with your lawyer before talking price.

How big does the company need to be?

The published entry rules start at 20 full-time US employees and three years in business (Nyne), 30+ employees (micro1) and 40+ as a preferred start (Scale AI). Labelbox Prism publishes no headcount rule.

Does the data leave our systems?

Yes, eventually, stripped of identities and only under a signed agreement. Scale AI describes doing its anonymization on your side, within your own systems, ahead of extraction; the other pages are vaguer about where scrubbing happens. Do your own removal first regardless.

Do you see our tickets?

Never. The form collects a description, our reply names the buyers that fit, and an introduction happens only on your say-so. Tickets travel straight from your company to the buyer, under your contract.

Get a quote

Start with the head office ZIP, an inbox for our reply, then a handful of taps describing the helpdesk history. A person here reads it and writes back naming any buyer whose published entry rules your company clears, or telling you plainly that none does.

Describe the archive; never paste it. No tickets, exports, screenshots or sample files belong in this form, and this site has nowhere to upload them.

Said once, plainly: Sell Support Tickets makes introductions, and the buyer on the other end may pay us for one. More on the how this works page.

Part 1 of 3

Where is the company based?

Nyne, for one, only takes US companies, so we ask for the head office ZIP.

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