AI data price index 2027: what AI companies pay for data
Every published price, payout range and pricing unit for AI training data that we track, in one sourced reference you can cite and download.
By Gareth HoyleLast updated How we research
In short
AI companies pay $20,000 to $1.5 million per company for operational records across 11 industries, according to Mercor's published listings, as reported by ddiy.co. The largest reported licensing deal is about $250 million over five years in cash and credits, paid by OpenAI to News Corp. This index compiles every published price, payout range and pricing unit we track, each with its source, as of November 2026.
Key figures
Download the data (CSV)- Published payout range per company across 11 of 20 industries, from Mercor's published listings, as reported by ddiy.co
- $20,000 to $1.5 million
- Largest reported deal value: about $250 million over five years in cash and credits, paid by OpenAI to News Corp
- $250 million
- Combined value of the 3 deals reported with an annual US dollar figure, using the low end of each figure
- $96 million a year
- Reported licensing deals with a disclosed value, July 2023 to October 2026
- 10 of 21
- Data buyers, marketplaces and brokers that publish a dollar figure for payouts or prices
- 9 of 41
- Training data types with at least one published price
- 12 of 14
Every figure is computed from the tables below and links back to its source. Published figures are ceilings, not quotes.
What do AI companies pay by industry?
AI companies pay $20,000 to $1.5 million per company by industry. That range comes from Mercor's published listings, as reported by ddiy.co, which cover 11 of the 20 industries we track. These are payouts to the company supplying data, and we have found no published industry range for the other 9.
Each industry links to its page in our guide to selling company data, with the record types buyers ask for and the rights issues to clear.
| Industry | Published range | Unit | Who publishes it | Size guide | Source |
|---|---|---|---|---|---|
| Manufacturers | $100,000 to $1.5 million | per company | Mercor, reported by ddiy.co, checked November 2026 | 20 to 2,000 employees (Mercor's listing) | ddiy.co (figures taken from each buyer's own site) |
| Law firms | $50,000 to $1.2 million | per company | Mercor, reported by ddiy.co, checked November 2026 | 5 to 300 lawyers and staff (Mercor's listing) | ddiy.co (figures taken from each buyer's own site) |
| Construction companies | $115,000 to $1 million | per company | Mercor, reported by ddiy.co, checked November 2026 | 50 to 2,000 employees (Mercor's listing) | ddiy.co (figures taken from each buyer's own site) |
| Design and web agencies | $20,000 to $890,000 | per company | Mercor, reported by ddiy.co, checked November 2026 | 10 to 200 employees (Mercor's listing) | ddiy.co (figures taken from each buyer's own site) |
| Accounting and tax firms | $25,000 to $865,000 | per company | Mercor, reported by ddiy.co, checked November 2026 | 5 to 200 employees (Mercor's listing) | ddiy.co (figures taken from each buyer's own site) |
| Medical practices and clinics | $80,000 to $820,000 | per company | Mercor, reported by ddiy.co, checked November 2026 | 10 or more clinicians or 2,500 or more patients, de-identified (Mercor's listing) | ddiy.co (figures taken from each buyer's own site) |
| Cybersecurity companies | $20,000 to $750,000 | per company | Mercor, reported by ddiy.co, checked October 2026 | 20 to 2,000 staff (Mercor) | ddiy.co |
| Software companies | $50,000 to $500,000 | per company | Mercor, reported by ddiy.co, checked November 2026 | 15 to 500 employees (Mercor's listing) | ddiy.co (figures taken from each buyer's own site) |
| Publishers and education companies | $35,000 to $370,000 | per company | Mercor, reported by ddiy.co, checked October 2026 | 10 to 500 staff (Mercor) | ddiy.co |
| Consulting and advisory firms | $150,000 to $300,000 | per company | Mercor, reported by ddiy.co, checked October 2026 | 10 to 500 staff (Mercor) | ddiy.co |
| Call centers and BPOs | $20,000 to $250,000 | per company | Mercor, reported by ddiy.co, checked November 2026 | 50 to 5,000 agents (Mercor's listing) | ddiy.co (figures taken from each buyer's own site) |
| Engineering and architecture firms | Not published | Not published | Not published | No engineering minimum is published. micro1 asks for 30 or more full-time staff, and Handshake AI for 20 or more staff and three years of trading. | Not applicable |
| Financial services firms | Not published | Not published | Not published | No sector-wide minimum published. Mercor's listing for investment firms asks for 5 or more staff | Not applicable |
| Insurance companies and brokers | Not published | Not published | Not published | No insurance-specific minimum is published. micro1 asks for 30 or more full-time staff, and Handshake AI for 20 or more staff and three years of trading. | Not applicable |
| Logistics and freight companies | Not published | Not published | Not published | No logistics-specific minimum is published. micro1 asks for 30 or more full-time staff and primarily English documentation. | Not applicable |
| Marketing and SEO agencies | Not published | Not published | Not published | No industry-specific minimum published. micro1 asks for 30 or more full-time staff across all industries | Not applicable |
| Media companies and video archives | Not published | Not published | Not published | Priced by the minute or hour of footage, not by headcount. | Not applicable |
| Real estate firms | Not published | Not published | Not published | No real estate minimum is published. micro1 asks for 30 or more full-time staff, and Handshake AI for 20 or more staff and three years of trading. | Not applicable |
| Recruitment agencies | Not published | Not published | Not published | No recruitment minimum is published. micro1 asks for 30 or more full-time staff, and Handshake AI for 20 or more staff and three years of trading. | Not applicable |
| Retail and ecommerce businesses | Not published | Not published | Not published | No retail minimum is published. micro1 asks for 30 or more full-time staff, and Handshake AI for 20 or more staff and three years of trading. | Not applicable |
How is AI training data priced by type?
AI training data is priced by a unit that depends on the type, from a flat fee per company archive to a rate per minute of video. 12 of the 14 data types we cover have at least one published price.
Most public prices are payouts to data owners rather than prices charged to buyers. Our guide to AI training data pricing models compares the common deal structures.
| Data type | Usual pricing unit | Published prices and sources |
|---|---|---|
| Workplace communications data | Per company archive, as a flat license fee |
|
| Customer support ticket data | Per ticket archive, as a flat license fee |
|
| Source code datasets | Per repository or codebase, as a flat license fee |
|
| Agent trajectory data | Per task or trajectory, or per environment with its taskset |
|
| Evaluation datasets | Per task or per set, with exclusive access priced higher | Not published |
| RLHF and preference data | Per comparison or per rated prompt | Not published |
| Expert domain data | Per company archive, as a flat license fee | |
| Speech and audio data | Per hour of audio, or per archive for company recordings |
|
| Video training data | Per minute of footage |
|
| Image datasets | Per image, or per collection for large archives | |
| Multilingual text data | Per million words or tokens, or per archive | |
| Document and form data | Per document or page for labeled sets, per archive for company records | |
| Call recording data | Per hour of audio, or per archive for a contact center |
|
| CRM and sales data | Per company archive, as a flat license fee |
What do data buyers publish about payouts?
Data buyers publish few hard numbers: 9 of the 41 buyers, marketplaces and brokers we profile publish a dollar figure for payouts or prices, and 5 state that sellers pay no fee.
Facts come from each company's own pages unless the cell says otherwise. Each name links to its profile in our directory of data buyers.
| Buyer | Type | Published payout or price | Fee to seller | Payment timing | Exclusivity | Source |
|---|---|---|---|---|---|---|
| Amazon | Direct buyer | Not published. The New York Times deal is reported at $20 million to $25 million a year (The Wall Street Journal) | Not published | Not published | Not published | Engadget, Engadget |
| Anthropic | Direct buyer | Not published | Not published | Not published | Not published | Anthropic, Adweek, The Next Web |
| Appen | Training-data company | Not published. Each partnership is quoted individually, based on volume, connected systems, workflow complexity and rarity | None. Appen covers extraction, anonymization, preparation and transfer, with no setup fees or deductions | On acceptance of the data rather than submission. No number of days published | Not published. Appen says your data is never commingled with another partner's | Appen, Appen, Appen |
| Apple | Direct buyer | Not published. The Shutterstock deal is reported at $25 million to $50 million (Reuters) | Not published | Not published | Not published | Apple, 9to5Mac, MacRumors |
| AWS Data Exchange | Data marketplace | Provider sets the price | AWS Marketplace service fees deducted. Rate not stated on the pages we checked | Monthly on a rolling schedule, only after funds are collected from the subscriber | Not published | Amazon Web Services, Amazon Web Services, Amazon Web Services |
| Calliope Networks | Licensing agent | Not published. Creators are paid by a formula based on volume and subscriber count | Not published | Not published | Non-exclusive for content owners, with no exhibition rights granted | Calliope Networks, Protege |
| Cohere | Direct buyer | Not published | Not published | Not published | Not published | Cohere Labs on Hugging Face, SiliconANGLE, Bloomberg Government |
| Created by Humans | Licensing agent | Not published. The platform shows relative earnings potential by rights licensed | Not published on its site. TechCrunch reported it takes a cut of each deal | Not published. Payments are tracked in the rights holder's dashboard | Not published | Created by Humans, Publishers Weekly, TechCrunch |
| Datarade | Data marketplace | Provider sets the price | Commission-only: $0 a year plus 30%. Bronze: $6,000 a year plus 20%. Silver: $12,000 a year plus 15%. Gold: custom | Not published | Not published | Datarade, Datarade |
| DataVendor | Data marketplace | Vendor sets the price. Example homepage listings include a $220,000 payments monorepo | 20% of vendor earnings, charged on withdrawal. A $15 dispute fee passes to the vendor if a dispute is lost | Not published | Not published | DataVendor, DataVendor, DataVendor, DataVendor |
| Defined.ai | Data marketplace | Not published | Not published | Not published | Not published | Defined.ai, Defined.ai |
| Endless Data | Direct buyer | Up to $4 million (indicative estimate based on headcount, years of history and location) | None. Endless is paid by the labs | Fixed sum agreed before data is shared, paid after signing, preparation and transfer. No date published | Non-exclusive | Endless Data |
| FileYield | Data marketplace | Seller sets the price | Free to list. Any facilitation fees are disclosed when you list, request or accept a deal | Arranged directly between seller and buyer | Seller chooses: exclusive or non-exclusive, time-limited or perpetual | FileYield, FileYield, FileYield |
| Direct buyer | Not published. Reported deals include about $60 million a year (Reddit, reported by Reuters) and a $10 million winning bid (Spirit Airlines data) | Not published | Not published | Not published | Google, Nieman Lab, The Next Web | |
| Grepped | Data broker | Not verified on Grepped's site | Not verified on Grepped's site | Not verified on Grepped's site. Dealroom and ARR Club report payment within a week of a sale | Not verified on Grepped's site | Dealroom, ARR Club |
| Handshake AI | Training-data company | $100,000 to more than $4 million (headline). Its calculator shows estimates up to $100,000 and $400,000 to $800,000 or more | Not published | Not published. Payment follows delivery as the final process step | Not published | Handshake |
| Human Native | Data marketplace | Not published | Not published | Not published | Not published | Human Native, Techzine |
| Innodata | Training-data company | Not published | Not published | Not published | Not published | Innodata, US Securities and Exchange Commission |
| Labelbox Prism | Training-data company | From around $50,000 (smaller targeted datasets) to more than $1 million (large enterprise partnerships) | Not published. Scoping is free and non-binding | Upfront fee at signing plus revenue share. Prism says first call to first wire takes under 21 days | Exclusive by default, tailored to scope, sensitivity and strategic value | Labelbox |
| Linguistic Data Consortium | Data marketplace | Not published. Its data sharing guide does not mention royalties or payments to providers | Not published | Not published | Non-exclusive. LDC does not require exclusive distribution rights | Linguistic Data Consortium, Linguistic Data Consortium, Linguistic Data Consortium, Linguistic Data Consortium |
| Mercor | Training-data company | Not published on mercor.com/data. ddiy.co reported Mercor's referral page listing $20,000 to $1.5 million by industry (October 2026) | None. Mercor covers extraction, anonymization and transfer costs | Wire transfer after delivery, typically within 2 to 4 weeks of the signed agreement | Not published | Mercor, ddiy.co, Frankfurt Kurnit Klein and Selz, Fortune |
| Meta | Direct buyer | Not published. Both deals in our tracker are undisclosed | Not published | Not published | Not published | TechCrunch, SiliconANGLE |
| micro1 | Training-data company | $100,000 to $500,000 (qualified partnerships), $500,000 to $3 million (large-scale or ongoing), more than $3 million (highly unique data). Agent trajectories listed at $1 million to $2 million a year | None stated | Homepage says within 30 days of acceptance. FAQ says up to 30 days to review, then payment within 30 days of invoice | Not published | micro1, The Next Web |
| Microsoft | Direct buyer | Not published. Publishers are paid on delivered value, with usage-based reporting | Not published | Not published | Not published | Microsoft Advertising, TechCrunch, Publishers Weekly, interactive investor |
| Mistral AI | Direct buyer | Not published. The AFP deal terms were not disclosed | Not published | Not published | Not published | Mistral AI, TechCrunch |
| OpenAI | Direct buyer | Not published. Reported deals run up to about $250 million over five years (News Corp, reported by The Wall Street Journal) | Not published | Not published | Not published | OpenAI, Engadget, Engadget, Bloomberg Law |
| Opendatabay | Data marketplace | Seller sets the price and keeps 70% to 95% depending on the sale price | Free to list. Commission from 30% (sales up to $100) to 5% (sales above $250,000), set per transaction | Within 30 days of the end of the month for self-serve sales. Balances under $50 carry forward | Not published | Opendatabay, Opendatabay |
| Perplexity | Direct buyer | Revenue share on interactions that reference a publisher. 80% of Comet Plus revenue, with a $42.5 million initial pool (reported by Axios) | None stated. Perplexity keeps 20% of Comet Plus revenue (reported by Axios) | Not published | Not published | Perplexity, Axios |
| Polyshares | Direct buyer | $100,000 to $2 million and above typical. Four published licenses range from $110,000 to $450,000 | None. No fee and no commission | Offer within one to two weeks. Net 30 to 60 days after data is approved, shared and anonymized | All four published case studies are perpetual exclusive licenses. Its terms page does not state exclusivity | Polyshares, Polyshares, Polyshares, Polyshares |
| ProRata.ai | Content licensing platform | Not verified on ProRata.ai's site. Axios reported a 50/50 revenue share for publishers licensing content to Gist Answers | Not verified on ProRata.ai's site. Axios reported Gist Answers is free for websites | Not verified on ProRata.ai's site | Not verified on ProRata.ai's site | ProRata.ai via Business Wire, Axios |
| Protege | Data broker | Not published | Not published | Not published | Not published | Protege, Protege |
| Sama | Training-data company | Not published | Not published | Not published | Not published | Sama, Sama |
| Scale AI | Training-data company | $10,000 to more than $1 million per partnership (illustrative, scaling with cadence) | Not published | Not published. Scale says partnerships are designed for recurring revenue | Not published | Scale AI |
| SellMyData | Data broker | Not published. Price set by data type, volume, years of history and lab demand, and approved by the seller | Nothing upfront. Commission when a sale closes (rate not published) | Target of 7 days after a sale closes | Not published | SellMyData |
| Shutterstock data licensing | Content licensing platform | Not published. Contributor compensation is not described on the data licensing page | Not published | Not published | Not published | Shutterstock, TechCrunch |
| SimpleClosure AssetHub | Data broker | Deals in the tens to hundreds of thousands of dollars for unique assets | No upfront cost. A percentage on a successful sale or license (rate not published) | Not published. Initial viability assessment within days or hours | Not published | SimpleClosure, MIT Technology Review, Fortune |
| TELUS Digital | Training-data company | Not published | Not published | Not published | Not published | TELUS Digital, TELUS Digital via Business Wire, TELUS Digital |
| Troveo | Licensing agent | Typical full-company deals start at six figures. More than $20 million paid to licensors to date (Troveo figure) | None. No fees, setup costs or deductions from payouts | Revenue share on every sale. Timing set in the agreement, not published | Time-limited and has to be earned, with exit terms in the agreement | Troveo |
| Versos | Content licensing platform | Not published for Versos. Its blog reports $1 to $4 per minute (OpenAI) and about $3 per minute (Adobe), unsourced | Not published | Not published | Not published | Versos, Versos |
| Wirestock | Content licensing platform | Not published. Royalties or lump-sum payments when content is selected and used | Not published. Creators earn a commission when work is licensed | Monthly payments, tracked in a dashboard | Not published | Wirestock, Wirestock, Pulse 2.0 |
| xAI | Direct buyer | Not published | Not published | Not published | Not published | xAI, X, Reuters via The Star |
What have AI data licensing deals been worth?
AI data licensing deals with a disclosed value reach about $250 million over five years in cash and credits, paid by OpenAI to News Corp. 10 of the 21 deals we track have a disclosed value, and the other 11 were reported without terms.
This table lists only deals with a disclosed value. Every reported deal, including those without terms, is in the AI data deals tracker.
| Date | Paid by | Data from | Data | Reported value | Source |
|---|---|---|---|---|---|
| October 2026 | Not named (sale brokered by SimpleClosure) | A shut-down crypto startup (founder Keelan Miskell) | Codebase, with workspace data from Google, Notion, Figma and Slack pending | About $25,000 for the codebase, with about $15,000 likely for workspace data (reported) | MIT Technology Review, October 2026 |
| August 2026 | Spirit Airlines (in bankruptcy) | De-identified business data including corporate email, with booking, transaction, refund and inflight sales records excluded | $10 million winning auction bid (reported) | The Next Web, October 2026 | |
| May 2025 | Amazon | The New York Times | Editorial content including The Athletic and NYT Cooking, for AI model training and summaries in Alexa | $20 million to $25 million a year (reported by The Wall Street Journal) | Engadget, citing The Wall Street Journal, July 2025 |
| November 2024 | Microsoft (reported by Bloomberg, not confirmed by HarperCollins) | HarperCollins | Select nonfiction backlist titles for limited use in AI model training, three-year term, author opt-in | $5,000 per title, split equally between author and publisher (reported) | Publishers Weekly, November 2024 |
| November 2024 | OpenAI | Dotdash Meredith | Content from brands including Food and Wine, InStyle, Better Homes and Gardens, Lifewire and Investopedia, for training and display in ChatGPT | At least $16 million a year (reported) | Engadget, citing Adweek, November 2024 |
| August 2024 | Undisclosed technology companies | Wiley | Authors' content for training large language models | $44 million expected from AI rights deals (reported) | The Bookseller, August 2024 |
| May 2024 | OpenAI | News Corp | Current and archived content from The Wall Street Journal, MarketWatch, The Sun and other News Corp titles, for display in ChatGPT and model training | About $250 million over five years in cash and credits (reported by The Wall Street Journal) | Engadget, citing The Wall Street Journal, May 2024 |
| May 2024 | Microsoft | Informa (Taylor and Francis) | Advanced learning content and data | Initial data access fee of about $10 million, plus recurring payments over three years (reported) | interactive investor, May 2024 |
| February 2024 | Reddit content for training AI models | About $60 million a year (reported by Reuters, citing one source) | Reuters via Nieman Lab, February 2024 | ||
| December 2023 | OpenAI | Axel Springer | Articles from Politico, Business Insider, Bild and Die Welt for ChatGPT answers and building OpenAI's AI systems | Tens of millions of euros (reported by Bloomberg) | Bloomberg Law, December 2023 |
How is the index compiled?
Sell My Data To AI compiled this index from the published figures on our industry, data type, buyer and deal pages. Every figure is quoted as its source published it, and every row links to that source.
- A figure is included only when a buyer, marketplace, broker or news report has published it, and we cite where it was published.
- Industry ranges are payouts a buyer publishes for a whole company's records. They are not prices paid in a specific deal.
- Published figures are ceilings, not quotes. What a company is offered depends on its rights position, the size and history of its archive and buyer demand.
- Deal values are as reported. Deals reported without terms are counted but left out of every value figure.
- We only add figures that share a currency and a unit. The combined annual figure adds the low end of each deal reported in US dollars a year.
- We do not average, estimate or extrapolate. Where a figure is not published, the table says Not published.
We review the index every quarter and update it when a buyer changes its published terms or a new deal value is reported. This edition reflects sources checked up to November 2026.
Read more about how we research and how buyers value records in our guide to what your data is worth to AI.
How to cite this index
You can reuse this index and its data under CC BY 4.0. Please credit Sell My Data To AI and link to this page. A suggested citation:
Sell My Data To AI (2026). AI data price index 2027: what AI companies pay for data. https://sellmydatatoai.net/ai-data-price-index
Frequently asked questions
How much do AI companies pay for company data?
AI companies publish payouts of $20,000 to $1.5 million per company for company records across 11 industries, according to Mercor's published listings, as reported by ddiy.co. Those ranges are ceilings for the companies that fit best, not quotes. What you are offered depends on the rights you hold, the size and history of your archive and how many buyers compete. A free data valuation gives you a realistic range for your own records.
Are published payouts what a seller will actually be paid?
Published payouts are ceilings, not quotes. A buyer's published range covers its whole target market, from small firms to large ones, and the final price depends on the volume, history, quality and rights position of the data. Treat the top of any range as the exception, and compare offers on the same license terms before you sign. Take independent legal advice on the license itself.
What is the largest reported AI data licensing deal?
The largest reported AI data licensing deal in our tracker is about $250 million over five years in cash and credits, paid by OpenAI to News Corp and reported in May 2024 (Engadget, citing The Wall Street Journal, May 2024). Neither company disclosed terms. 10 of the 21 deals we track have a disclosed value. The full list is in our AI data deals tracker.
How much do AI companies pay per minute of video?
Video training data is priced per minute of footage. Published figures include average about $2.62 per minute, up to about $7.25 (paid by Adobe, reported by Bloomberg) and $1 to $4 per minute (paid by OpenAI, reported by Versos without a primary source). Ask what a quoted rate covers, including rights and metadata, before you compare offers. Our page on video training data explains what buyers check.
Can I reuse or cite the AI data price index?
You can reuse the AI data price index under the Creative Commons Attribution 4.0 license (CC BY 4.0). That covers the tables and the CSV file, including commercial use, as long as you credit Sell My Data To AI and link to this page. The suggested citation is in the How to cite this index box on this page.
How often is the AI data price index updated?
We review the AI data price index every quarter and update it when a buyer changes its published terms or a new deal value is reported. This edition reflects sources checked up to November 2026, and the date at the top of the page shows the last update. Email hello@sellmydatatoai.net with any published figure we have missed, and include its source.
Sources
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