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Tremibas® / relate2.ai — Dataset Card

Version: 1.1 — May 2026
Maintainer: Tremibas®
License: Commercial — contact via relate2.ai
Access: Bundle purchase via Gumroad or Lemon Squeezy (card payment) · Per-asset via x402 micropayment (USDC, Base Mainnet) · Bulk licensing available


System Overview

This is not a dataset.

This is a structured intelligence system.

Real-world events are converted into narrative form, embedded with system failure signals (The Odd Itch™), and organised into a queryable graph of characters, patterns, and behaviours.

Every story is:

  • A narrative
  • A system failure instance
  • A pattern signal
  • A graph node

The catalogue evolves daily. The stories generate the data. The patterns generate the value.


What Makes This System Unique

Most synthetic datasets generate text. This system generates structured narrative intelligence.

You are not buying files. You are buying access to how systems behave.

The Odd Itch™ — the core signal across the entire system — is the moment a machine encounters something it cannot account for and logs it as normal. The impossible timestamp. The negative power draw. The weightless crate. Compliance: 100%. The machine never flags it.

Every event in the system is simultaneously:

  • A readable narrative (~150–200 words)
  • A labelled system failure instance with mechanism tags
  • A character mission record with graph edges
  • A pattern signal within one of 32 recurring system behaviour archetypes
  • A structured JSON asset with queryable access tiers

System Statistics (April 2026)

Metric Value
Total events (stories) 333
SIDEBAND™ (machine-generated) 317
Odd Itch™ Premium (human-written) 10
Off Frequency (field dispatches) 3
Stem 7™ scenarios (seam layer) 3
Characters with full dossiers 37
System behaviour patterns 34
Pinecone semantic vectors 1,585
Odd Itch™ types 15
Daily generation rate ~5–6 stories/day

Story Distribution by Event Domain

Domain Stories
Conflict 116
Political 53
Crime 51
Natural Disaster 50
Humanitarian 15
Economic 11
Technological 9
Transport 7
Health 10
Industrial 4
Environmental 3

System Failure Taxonomy — The Odd Itch™

15 labelled failure types across all stories:

Odd Itch Type Stories Description
temporal 51 Timestamp precedes event; time sequence violated; system logs correct
geographic 36 Location coordinates contain paradox; grid reference confirmed
transactional 38 Impossible balance confirmed; value transfer logged as complete
verification 36 Verification attempted; result confirmed; underlying data contradicts
identity 31 Entity identified; identification contains impossibility; record accepted
classification 27 Asset classified in violation of known state; filed as correct
measurement 32 Reading impossible by physical law; logged as verified
bureaucratic 17 Procedural loop detected; compliance maintained

System Behaviour Patterns — 32 Archetypes

Patterns emerge automatically from story clusters. No manual curation. Threshold: 3+ occurrences.

Top patterns:

Pattern Class Occurrences Confidence
Timestamp Drift Under Fire temporal_paradox 33 1.00
Field Verification Breakdown verification_breakdown 19 0.64
Entity Recognition Failure identity_failure 14 0.47
Command Chain Deadlock procedural_deadlock 13 0.44
Procedural Clock Paradox temporal_paradox 13 0.44
Evidence Chain Time Fault temporal_paradox 12 0.43
Disaster Window Anomaly temporal_paradox 11 0.39
Asset Type Mis-log classification_error 12 0.41
Measurement — Conflict measurement_paradox 9 0.32
Asset Transfer Impossibility transactional_impossibility 11 0.37

Full pattern list with core signals, shared behaviour, systems involved, and example slugs available at: GET https://relate2.ai/api/patterns


Character Graph — 37 Characters

Each character has a full dossier, mission history, and graph edges to co-operative characters and shared stories.

Top characters by mission count:

Character Missions Domain
Jessica Lincdelis 147 Conflict / Logistics
Alex Casian 85 Conflict / Intelligence
Ade Oma-Olewle 73 Conflict / Field Operations
Leon McReef 72 Conflict / Maritime
Matt Baker 64 Conflict / Disaster Response

Character Atlas pricing is dynamic — $0.25 base + $0.01 per mission. Jessica Lincdelis current Atlas value: $1.72 USDC.


The Four Series

SIDEBAND™ — Machine Layer

317 stories auto-generated from real news via RSS pipeline. Each story carries The Odd Itch™ — the system failure the machine verified as correct. Grounded in 18 live news sources across conflict, crime, natural disaster, economic, and humanitarian domains.

Asset tiers per story:

  • Abstract — $0.01 USDC — machine summary
  • Odd Itch™ — $0.03 USDC — the failure payload
  • Scenario — $0.05 USDC — structural breakdown
  • Full narrative — $0.15 USDC — complete story

Odd Itch™ Premium — Human Layer

10 hand-written stories. Longer, denser, narratively complete. The impossible verification written from lived experience.

  • $0.05 USDC per story

Off Frequency — Field Dispatches

3 stories. Characters off the clock. Real locations, real weight. Most demanded series in the catalogue per request volume.

  • $0.05 USDC per story

Stem 7™ — The Seam Layer

3 complete human complexity scenarios. Each scenario contains 7 stems: Environment, Human State, Visible Signals, Social Context, The Gimon (pause before action), History, and Consequence (two branches — right call and wrong call).

Stems 2 (Human State) and 6 (History) are written from lived human experience — they cannot be generated by machine.

Current scenarios:

  • Cairo to Paris, 35,000 feet — drone intelligence / teenage passenger
  • New York 2037 — human right, machine wrong
  • Lima Market, 14:00 — absurd market event / intervention paradox

Asset tiers:

  • Surface stems (1, 3, 4) — $0.01 USDC
  • Gimon — $0.03 USDC
  • Invisible stems (2, 6) — $0.05 USDC
  • Consequence — $0.10 USDC
  • Full scenario (all 7 stems) — $0.25 USDC

Data Generation Pipeline

Real news articles (18 RSS sources, 6 domains)
    ↓
Viability assessment (event type, severity, operational angle)
    ↓
Character matching (Pinecone semantic search, 37-character pool)
    ↓
Generation profile (DP-Link format + 92 semantic packs)
    ↓
Narrative generation (GPT-4o-mini, ~170 words)
    ↓
Odd Itch™ embedding (system failure type classification)
    ↓
Scenario asset extraction (mechanism tags, themes, structure)
    ↓
Pinecone upload (5 vectors per story: meta, abstract, odd_itch, scenario, full)
    ↓
Pattern engine (automatic cluster extraction, threshold 3+)
    ↓
Graph update (character missions, co-operative edges, traversal weights)

Grounding: Every SIDEBAND™ story is seeded from a verified news event. The fictional narrative is synthetic. The event domain, location, and severity are real.


System Access

Per-asset (x402 micropayment)

  • Protocol: x402 v2 — HTTP 402 Payment Required
  • Network: Base Mainnet
  • Currency: USDC (0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913)
  • Receiving wallet: 0xd821D0156d9633D93ACEaa8fcA347EAF8316ccd1
  • No account required. Any x402-compatible agent wallet accepted.

API / MCP Server

  • REST API: https://relate2.ai
  • MCP SSE: https://relate2-mcp.onrender.com/sse
  • 21 MCP tools — discovery (free), purchase (x402)

Bulk / Dataset Licensing

Pre-packaged bundles available on:

  • Gumroad — domain, odd itch, pattern, location and character bundles from £9
  • Lemon Squeezy — full catalogue licence at £99
  • Custom dataset packaging and enterprise licensing — contact via relate2.ai

Graph Intelligence

Pre-computed narrative relationship graph available as a standalone bundle (£49) — every story's top 10 connections with similarity scores and shared signals. JSON + JSONL format.


Access Use Cases

  • AI training / RLHF — system failure edge cases where the machine is correct and reality is not
  • Agent simulation — 37 persistent characters across 333 events for multi-agent environment testing
  • System failure modelling — 32 behaviour archetypes across conflict, crime, disaster, economic domains
  • Decision intelligence — the Gimon layer (Stem 7™) — the pause before the machine acts
  • Red-teaming — 15 odd itch failure types, mechanism-tagged and pattern-classified
  • Graph intelligence — pre-computed narrative relationship map, story ↔ pattern ↔ character

What This System Is Not

  • Not a general-purpose text corpus
  • Not a news dataset — events are real, narratives are synthetic
  • Not image, audio, or video
  • Not a traditional structured dataset — this is a narrative intelligence system with graph relationships, pattern archetypes, and character continuity

Limitations

  • Stories are ~150–200 words — short form only
  • Conflict-domain heavy (37% of catalogue)
  • Odd Itch taxonomy is proprietary — not mapped to external ontologies
  • Generation grounded in English-language news sources only
  • Character dossiers are fictional — not based on real individuals

Citation

Tremibas® / relate2.ai Narrative Intelligence System (2026).
https://relate2.ai

Contact

Sales, bundles & licensingsales@relate2.ai
General enquiriesinfo@relate2.ai
Websitehttps://relate2.ai
MCP serverhttps://relate2-mcp.onrender.com/sse

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