Dataset outright ownership Tiers and Pricing Strategy

Tier 1: Startup & Solo developers

Who it's for: Small developer teams, indie hackers, or startups building a single AI application or training agents for escort services.

What's included:

‍ ‍The baseline 17,500 deduplicated JSONL records interpreted in full for you ready to be given to your agent to train, you do no work.

• Basic data dictionary and the Product Blueprint

• Price: $5500 annually

• NDA with every set for your peace of mind

• You own the data you can do whatever you want with it

• Rare data very hard to source

• interpreted by adult industry professionals, statisticians & Codex

1. High-Risk Industries Messaging Intelligence Collection

• A specialised collection of seven prompt-ready datasets designed for AI agents, intent-routing systems, workflow automation and privacy-conscious software development in sensitive and high-risk industries.

• The collection contains 48 unique derived profiles informed by recurring patterns across 17,309 internal observations. Those observations are not supplied as messages or individual training records.

Every JSONL profile includes:

• A standard messages array with system, user and assistant roles

• Sentiment and urgency classifications

• Core intent and operational interpretation

• The underlying customer or workflow pain point

• Industry-context insights

• A suggested software feature

• Prompt-ready conceptual fields for product and database design

The delivered datasets exclude original SMS messages, names, phone numbers, addresses, workplaces, exact locations, dates, times, transaction amounts and extracted source identities. The data has been reviewed and given the ok by the Australian Data Privacy Agency.

This is rare primary data not scraped from google maps or ugly mugs, but clear true pattern forming data that has created these nine datasets to create for you a superior service or product for the adult industry.

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2.Booking, Availability & Confirmation

6 derived profiles informed by 1,271 internal observations

This dataset focuses on the operational steps involved in checking availability, arranging a booking and confirming that both parties understand the proposed arrangement.

The profiles demonstrate how an agent can request only the necessary scheduling information—such as a preferred date, time window, general area and duration—without requesting unnecessary identity documents or private addresses.

The response patterns also reinforce the need to confirm boundaries, pricing, cancellation conditions and applicable adult-verification requirements before treating an arrangement as confirmed.

Software applications

• Availability assistants

• Booking-intake systems

• Appointment confirmation workflows

• Scheduling and calendar integrations

• Pre-booking consent checkpoints

• Deposit-status workflows

• Cancellation-policy acknowledgement

• Human review for incomplete or sensitive requests

Product insight

The dataset supports a consent-aware booking assistant that moves an interaction through request, verification, agreement and confirmation stages while keeping sensitive information out of ordinary chat.

Conceptual product fields

Booking reference, customer token, provider reference, requested start, duration, general area, booking status, adult-verification status, consent status, deposit status and cancellation-policy reference.

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3.Pricing, Payment, Deposit & Refund

8 derived profiles informed by 977 internal observations

This dataset addresses conversations involving pricing, total cost, deposits, payment status, cancellations and refund expectations.

The profiles demonstrate how an agent can clarify commercial terms before commitment, including the requested package or duration, total price, deposit requirement, accepted payment method, cancellation terms and refund policy.

The assistant examples direct users toward secure payment processes and discourage sending card information through messages.

Software applications

• Automated quote preparation

• Deposit tracking

• Payment-status workflows

• Refund-request classification

• Cancellation-fee calculations

• Policy-version tracking

• Billing-support agents

• Payment dispute prevention

• Transaction audit trails

Product insight

The dataset supports a transparent quoting and payment-policy module that presents the complete commercial position before acceptance and records which terms the customer agreed to.

Conceptual product fields

Quote reference, booking reference, service category, duration, currency, total amount, deposit amount, payment status, refund status and applicable policy version.

The dataset contains only generalised demonstrations and conceptual software fields. It does not contain actual source prices, deposits, card information or transaction amounts.

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4.Services, Preferences & Boundaries

8 derived profiles informed by 890 internal observations

This dataset helps systems manage questions about available services, preferences and personal boundaries without assuming that a request has been accepted.

The profiles demonstrate a consent-first response: the request is described in general terms, availability is checked against stated boundaries, silence is not treated as agreement, and either person may decline or withdraw consent.

This dataset is particularly relevant to software operating in environments where a poorly designed recommendation or booking agent could pressure a user, misrepresent availability or treat a preference as standing consent.

Software applications

• Boundary-aware service catalogues

• Consent-status workflows

• Provider-controlled availability settings

• Preference matching with safety controls

• Request screening

• Policy-based intent routing

• Withdrawal-of-consent handling

• Human escalation for ambiguous or high-risk requests

Product insight

The dataset supports a structured service catalogue in which providers control what is available, users can request only listed options, and the software checks current consent and applicable boundaries before proceeding.

Conceptual product fields

Service reference, service category, provider reference, availability status, boundary tags, consent status, adult-verification status and policy version.

This dataset is designed to support workflow and product development. It does not determine consent on behalf of a person or replace qualified human judgment.

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5.Promotional Outreach & Opt-Out

7 derived profiles informed by 469 internal observations

This dataset focuses on promotional messaging, marketing consent and requests to stop future communications.

The profiles demonstrate how an agent can recognise an opt-out request, verify the destination through a secure channel where necessary and apply suppression across future promotional campaigns.

It is designed to help developers prevent repeated outreach after a recipient has withdrawn permission, particularly where promotional content may be sensitive or embarrassing if disclosed to another person.

Software applications

• Marketing-consent ledgers

• One-step unsubscribe workflows

• Campaign suppression lists

• Consent-source tracking

• Cross-campaign opt-out enforcement

• Privacy-request handling

• Jurisdiction-aware marketing controls

• Complaint-prevention workflows

Product insight

The dataset supports a central consent and suppression system that records how marketing permission was obtained and ensures that an opt-out applies consistently across connected messaging campaigns.

Conceptual product fields

Contact token, consent source, consent timestamp, campaign reference, opt-out status, suppression timestamp and applicable jurisdiction.

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6.Cancellation & Rescheduling

4 derived profiles informed by 39 internal observations

This dataset addresses requests to cancel, delay or reschedule an existing arrangement.

The examples show how an agent can acknowledge the change, request a non-identifying booking reference, collect alternative times and explain any applicable fee or refund before modifying the booking.

The workflow is designed to reduce repeated messages, scheduling confusion, lost time and unexpected financial consequences.

Software applications

• Cancellation assistants

• Automated rescheduling

• Alternative-time recommendations

• Policy-based fee assessment

• Refund-status workflows

• Booking-change audit records

• Calendar updates

• Dispute-reduction tools

Product insight

The dataset supports a rescheduling workflow that evaluates the applicable policy, proposes available alternatives and clearly presents any potential fee or refund before confirming the change.

Conceptual product fields

Booking reference, original start, requested start, change-reason category, policy reference, fee amount, refund amount, booking status and audit timestamp.

Because this slice contains only four derived profiles, it should be positioned as a workflow-design and evaluation seed rather than a complete standalone fine-tuning dataset.

Privacy-Aware Location & Travel Coordination

6 derived profiles informed by 976 internal observations -

This dataset helps software coordinate locations and travel without exposing a private address earlier than necessary.

The examples demonstrate staged location disclosure: begin with a general area, confirm the arrangement and travel conditions, use a secure channel for any necessary exact location, and incorporate safety check-ins.

The profiles also demonstrate how an assistant should stop the interaction when safety becomes uncertain and direct a person to emergency services where immediate danger exists.

Software applications

• Staged location disclosure

• General-area matching

• Encrypted address storage

• Time-limited location access

• Travel-time and fee workflows

• Safety check-ins

• Trusted-contact systems

• Automatic location deletion

• High-risk human escalation

Product insight

The dataset supports a privacy-preserving location exchange that separates general-area planning from exact-location disclosure and limits access according to verification, timing and safety requirements.

Conceptual product fields

Booking reference, general area, encrypted location, disclosure timestamp, travel fee, check-in status, safety-contact token and retention expiry.

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TIER 2 - 1. General Conversation & Clarification

9 derived profiles informed by 12,687 internal observations - Licencing for 12000 for the year/ 18000 for 2 years

This dataset helps an AI agent recognise when a conversation does not contain enough structured information to take a reliable action.

Instead of guessing what a person means, the example responses demonstrate how an assistant can ask a minimal, privacy-conscious clarification question and route the interaction toward the appropriate workflow.

The profiles cover negative, neutral and positive sentiment across low, medium and high urgency conditions.

Software applications

• General-purpose conversation routing

• Minimal-context clarification

• Intent detection and triage

• Privacy-conscious support agents

• Booking, billing, safety and support routing

• Prevention of overconfident automated responses

• Human escalation when intent remains uncertain

Product insight

The dataset supports development of a privacy-conscious intent router that identifies insufficient context, requests only the minimum additional information and transfers the conversation to a specialised workflow.

Conceptual product fields

Conversation token, participant tokens, intent category, clarification status, privacy flags, last action and update timestamp.

Who it's for: Established software companies building CRMs, enterprise bot platforms, or marketing automation software for the creator economy. What's included:

• The full baseline dataset.

• Rare Information / Edge Cases: A supplementary dataset specifically covering the 5% "hardest" queries—complex billing disputes, aggressive safety violations, multi-turn context negotiations, and sophisticated prompt injections. (This is the "rare information" you mentioned).

Unlimited Model Usage: They can train as many proprietary models as they want, on any cloud or local hardware

• Protect your enterprise AI from model collapse and compliance breaches. Get unlimited training access to high-friction, rare-event edge cases that foundation models refuse to handle."

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The Full Suite

Purchase all 6 of the data sets in Tier 1 and 2

Only $85,000 a discouted price by 10 thousand dollars.

A proprietary data moat. We become your outsourced data engineering pipeline for specialised adult-industry AI training."

Who it's for: A massive CRM platform or hyper-scalers who wants your data but doesn't want their competitors to have it. Monopoly businesses.

What's included:

• Everything in Tier 1 and Tier 2.

• Direct access to your raw (but still PII-scrubbed) XML data pipelines for custom parsing.

• A dedicated Slack channel for data formatting requests.

• You wil own the data and can do what you want with it.

• Price: $85,000 - this is a life time purcahse, you will own the data outright. The monopoly businesses choice.

  Exclusive acquisition - The purchase of all seven datasets altogether:

  The complete interpreted collection is being offered as a one-time exclusive acquisition:

  AUD $85,000 + GST one time only payment.
  The acquisition includes the entire contents of the dataset which is seven from tier one and two, agreed finished datasets and documentation as they exist at completion. Includes all the details explained below them also all for a very discounted cost compared to the single prices of the sets.

  Available in the Tier 2 section of the shop click HERE

• DISCLAIMER:

No personal data will be issued to any one client pertaining to who was in the original data in any way or form. This is all erased and interpreted into data sets rendering personal information useless anyway. This complies with the data protection laws of Australia.