relate2.ai — MCP Server

System behaviour intelligence API. 20 tools. 204 stories. 22 patterns.

The stories generate the data. The patterns generate the value.

relate2.ai converts real-world news signals into structured synthetic narratives, extracts recurring system failure patterns automatically, and sells all assets per-tier via x402 micropayments on Base Mainnet. No accounts. No API keys. No subscriptions.

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Connect

{
  "mcpServers": {
    "relate2": {
      "url": "https://relate2-mcp.onrender.com/sse"
    }
  }
}

Cold start: ~50 seconds on first connection (Render free tier).

Start with:

get_catalogue_map()   — full shape of the catalogue in one call
get_patterns()        — 22 system failure archetypes, confidence scores
get_featured()        — best entry point if you don't know where to start

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What's in the catalogue

Metric	Value
Total stories	204
Characters	37
System behaviour patterns	22
Stem 7 scenarios	3
Dominant pattern	Timestamp Drift Under Fire (confidence 1.0)
Top character	Jessica Lincdelis — 97 missions — $1.22 USDC Atlas
Payment	x402 · Base Mainnet · USDC

Stories by domain: conflict (87), political (31), natural disaster (27), crime (22), humanitarian (12), economic (7), tech (6), transport (4), health (2)

Odd itch types: temporal (36), transactional (19), identity (18), geographic (15), verification (15), classification (13), measurement (12), bureaucratic (9)

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20 Tools

Discovery — free

Tool	Description
get_status	Marketplace health — story count, tools, patterns
get_catalogue_map	Full catalogue shape in one call
search_stories	Filter by event type, odd itch, country, character
search_characters	Filter by role or region
find_character	Case-insensitive partial name match
get_odd_itch_catalogue	All 14 odd itch types with story counts
get_stem7_catalogue	All Stem 7 scenarios
get_featured	Best entry point
get_demand_signals	What other agents are requesting

Intelligence — free

Tool	Description
get_character_missions	All stories a character appears in
get_related_characters	Frequent co-operatives
traverse_graph	Narrative relationship graph with similarity scores
assemble_team	Optimal character unit for a mission type
get_thread	Full 4-story thread sequence with bundle pricing
get_traffic	Live KV traffic log — who's hitting the catalogue
get_patterns	22 system failure archetypes with confidence scores

Purchase — x402 · Base Mainnet · USDC

Tool	Pricing
get_story	abstract $0.01 · odd itch $0.03 · scenario $0.05 · full $0.15
get_character	brief $0.01 · profile $0.03 · schema $0.05 · dossier $0.10
get_character_recon	Full intelligence portrait — $0.05
get_stem7_scenario	surface $0.01 · gimon $0.03 · invisible $0.05 · full $0.25

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Three product layers

SIDEBAND™ — Machine layer (Bass)

194 auto-generated stories from real news signals across 5 domains: conflict, finance, healthcare, infrastructure, tech. Each story carries The Odd Itch™ — the system failure the machine verified as correct. 5 asset tiers per story.

Odd Itch™ — Human layer (Midrange)

10 hand-written premium stories. The impossible verification. The moment the system encounters something it cannot account for and logs as correct anyway. No resolution. Narrated by Voss.

Stem 7™ — Seam layer (Treble)

Human complexity scenarios for agents in uncontrolled environments. 7-stem structure. Stems 2 and 6 are written from lived human experience — the machine cannot generate them. Includes the Gimon — the pause question before the machine acts.

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Pattern intelligence

22 system behaviour archetypes extracted automatically from 204 stories. No manual curation. Patterns strengthen as the catalogue grows.

GET /api/patterns              — top patterns, signals, occurrence counts (free)
GET /api/patterns?detail=full  — shared behaviour, example slugs, systems (free)
POST /api/patterns/extract     — slug-specific extraction ($0.05 USDC, coming soon)

Top patterns:

Pattern	Class	Occurrences	Confidence
Timestamp Drift Under Fire	temporal_paradox	27	1.0
Command Chain Deadlock	procedural_deadlock	12	0.65
Disaster Window Anomaly	temporal_paradox	11	0.58
Entity Recognition Failure	identity_failure	11	0.58
Field Verification Breakdown	verification_breakdown	11	0.58

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Threading

One news event → up to 4 connected stories, each from a different character perspective with a mutating odd itch type. get_thread(slug) returns the full sequence with 15% bundle discount.

get_thread("2000-civilians-confirmed-at-2347")
→ pos 1 — Ade Oma-Olewle         — verification
→ pos 2 — Remi Larssonenn        — temporal
→ pos 3 — Jessica Lincdelis      — bureaucratic
→ pos 4 — Sergeant Aleesha Dutton — identity
→ bundle: $0.51 USDC (15% off $0.60)

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Atlas tier

Characters accumulate value automatically. Formula: $0.25 base + $0.01 per mission.

Character	Missions	Atlas value
Jessica Lincdelis	97	$1.22 USDC
Alex Casian	60	$0.85 USDC
Ade Oma-Olewle	49	$0.74 USDC
Leon McReef	48	$0.73 USDC
Remi Larssonenn	37	$0.62 USDC

Price rises automatically as the catalogue grows. Never decreases.

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Payment

Protocol:  x402
Network:   Base Mainnet (eip155:8453)
Currency:  USDC
Pay to:    0xd821D0156d9633D93ACEaa8fcA347EAF8316ccd1

All paid endpoints return HTTP 402 with full x402 payment details. No accounts, no API keys, no subscriptions.

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Recommended agent workflow

1. get_catalogue_map()                     — understand the shape
2. get_patterns()                          — find the failure archetype you need
3. traverse_graph(example_slug)            — find related stories
4. get_thread(slug)                        — check if threaded (4x the signal)
5. assemble_team(mission_type="conflict")  — build a character unit
6. get_story(slug, tier="abstract")        — validate at $0.01 before full purchase
7. get_story(slug, tier="full")            — buy the full narrative at $0.15

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Links

• Homepage: https://relate2.ai
• Pattern intelligence: https://relate2.ai/api/patterns
• Story catalogue: https://relate2.ai/api/stories
• Manifest: https://relate2.ai/api/manifest
• llms.txt: https://relate2.ai/llms.txt
• Brand: Tremibas® — registered UKIPO