diff --git a/README.md b/README.md
index 945e9db..d977e1f 100644
--- a/README.md
+++ b/README.md
@@ -79,6 +79,7 @@ This repository contains the design specifications and implementation plans for
 
 <!-- AUTOGENERATED: run node scripts/build-mechanism-index.mjs -->
 - [m010 — Reputation Signal (v0 advisory)](mechanisms/m010-reputation-signal/)
+- [m011 — Marketplace Curation & Quality Signals](mechanisms/m011-marketplace-curation/)
 
 <!-- END MECHANISMS INDEX -->
 
diff --git a/docs/MECHANISM_CONSUMERS.md b/docs/MECHANISM_CONSUMERS.md
index abd7745..ae269e9 100644
--- a/docs/MECHANISM_CONSUMERS.md
+++ b/docs/MECHANISM_CONSUMERS.md
@@ -18,3 +18,23 @@ This document maps **mechanism IDs** to known **consumers** (agents, digests, sc
 - Heartbeat replay runner: `scripts/replay-m010.mjs` (regen-heartbeat)
 - Heartbeat stub runner: `scripts/stub-run-signal-agent.mjs` (regen-heartbeat)
 - Heartbeat validator: `scripts/validate-signal-agent.mjs` (regen-heartbeat)
+
+## m011 — Marketplace Curation & Quality Signals
+**Canonical spec**
+- `mechanisms/m011-marketplace-curation/SPEC.md`
+
+**Outputs**
+- KPI JSON block schema: `mechanisms/m011-marketplace-curation/schemas/m011_kpi.schema.json`
+- Quality score schema: `mechanisms/m011-marketplace-curation/schemas/m011_quality_score.schema.json`
+- Collection lifecycle schema: `mechanisms/m011-marketplace-curation/schemas/m011_collection.schema.json`
+
+**Datasets (deterministic)**
+- Replay fixtures: `mechanisms/m011-marketplace-curation/datasets/fixtures/v0_sample.json`
+- Collection challenges: `mechanisms/m011-marketplace-curation/datasets/fixtures/v0_collection_sample.json`
+
+**Known consumers**
+- AGENT-003: Autonomous quality scoring, price monitoring, collection monitoring
+- KOI MCP: methodology metadata analysis via `resolve_entity`
+- Ledger MCP: batch metadata and trade queries
+- x/ecocredit: batch, class, project data; marketplace sell orders
+- Heartbeat: KPI metrics in weekly digest
diff --git a/mechanisms/m011-marketplace-curation/README.md b/mechanisms/m011-marketplace-curation/README.md
new file mode 100644
index 0000000..8a9b4b1
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/README.md
@@ -0,0 +1,35 @@
+# m011 — Marketplace Curation & Quality Signals
+
+Quality signals, curated collections, and price discovery for the credit marketplace. Curators stake REGEN to create vetted credit batch collections and earn trade fee shares. AGENT-003 provides automated 7-factor quality scoring.
+
+## What it outputs
+
+- **Quality score** (0–1000): 7-factor weighted assessment (project reputation 0.25, class reputation 0.20, vintage freshness 0.15, verification recency 0.15, seller reputation 0.10, price fairness 0.10, additionality confidence 0.05)
+- **Confidence** (0–1000): Data availability across 7 input signals
+- **KPI block**: Collection counts by status, quality score distribution, trade volume through collections, curation economics, challenge rate
+
+## What it does not do in v0
+
+- No on-chain curation bonds or collection contracts
+- No automated trade fee splitting to curators
+- No on-chain challenge mechanism
+- Agent quality scores are advisory only — published in digest
+
+## Scoring formula
+
+```
+score = 0.25 × project_reputation + 0.20 × class_reputation + 0.15 × vintage_freshness
+      + 0.15 × verification_recency + 0.10 × seller_reputation + 0.10 × price_fairness
+      + 0.05 × additionality_confidence
+```
+
+## How to reference
+
+- **Canonical spec**: `mechanisms/m011-marketplace-curation/SPEC.md`
+- **Schemas**: `mechanisms/m011-marketplace-curation/schemas/`
+- **Reference implementation**: `mechanisms/m011-marketplace-curation/reference-impl/`
+
+## Replay datasets
+
+- `datasets/fixtures/v0_sample.json` — Credit batches across multiple classes with quality scores
+- `datasets/fixtures/v0_collection_sample.json` — Collection lifecycle scenarios including challenges
diff --git a/mechanisms/m011-marketplace-curation/SPEC.md b/mechanisms/m011-marketplace-curation/SPEC.md
new file mode 100644
index 0000000..38de8c1
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+++ b/mechanisms/m011-marketplace-curation/SPEC.md
@@ -0,0 +1,284 @@
+# M011 — Marketplace Curation & Quality Signals
+
+## 0. Header
+
+| Field | Value |
+|-------|-------|
+| **Mechanism ID** | m011 |
+| **Name** | Marketplace Curation & Quality Signals |
+| **Status** | Draft — v0 advisory |
+| **Owner** | Regen Network core / community |
+| **Scope** | Credit marketplace quality scoring, curated collections, and price discovery |
+
+---
+
+## 1. Problem
+
+The existing credit marketplace lacks quality differentiation. Buyers cannot easily distinguish high-integrity credits from low-quality ones. Without quality signals, curated collections, or price discovery mechanisms, the marketplace suffers from information asymmetry that depresses prices for high-quality credits and erodes buyer confidence. Curators who invest effort in vetting credits have no economic incentive mechanism.
+
+---
+
+## 2. Target actor and action
+
+| Actor | Action |
+|-------|--------|
+| **Curator** | Creates collections of vetted credit batches, bonds REGEN, earns trade fee share |
+| **AGENT-003** | Computes quality scores for credit batches; monitors pricing; flags quality violations |
+| **Buyer** | Purchases credits through curated collections (higher confidence) |
+| **Seller** | Lists credits on marketplace (listing fee) |
+| **Challenger** | Disputes curator inclusion of low-quality batches |
+
+---
+
+## 3. Signal definition
+
+### Quality Score
+
+The agent produces a quality assessment for each credit batch:
+
+| Field | Type | Range | Description |
+|-------|------|-------|-------------|
+| `score` | integer | 0–1000 | 7-factor weighted quality composite |
+| `confidence` | integer | 0–1000 | Data availability indicator |
+| `factors` | object | — | Individual factor scores |
+
+---
+
+## 4. Evidence inputs
+
+| Input | Source | Required |
+|-------|--------|----------|
+| Project reputation score | M010 reputation signal | Preferred |
+| Credit class reputation score | M010 reputation signal | Preferred |
+| Seller reputation score | M010 reputation signal | Optional |
+| Batch start date (vintage) | x/ecocredit batch metadata | Yes |
+| Last verification timestamp | Most recent MsgCreateBatch or attestation | Preferred |
+| Listing price | x/ecocredit/marketplace sell order | If listed |
+| Class price median | AGENT-003 price tracking | Optional |
+| Methodology metadata IRI | Credit class metadata | Optional |
+
+---
+
+## 5. Scoring function
+
+### Quality score
+
+```
+score = 0.25 × project_reputation
+      + 0.20 × class_reputation
+      + 0.15 × vintage_freshness
+      + 0.15 × verification_recency
+      + 0.10 × seller_reputation
+      + 0.10 × price_fairness
+      + 0.05 × additionality_confidence
+```
+
+| Factor | Weight | Description | Range |
+|--------|--------|-------------|-------|
+| `project_reputation` | 0.25 | M010 reputation score for the project | 0–1000 |
+| `class_reputation` | 0.20 | M010 reputation score for the credit class | 0–1000 |
+| `vintage_freshness` | 0.15 | Linear decay: 1000 at issuance, 0 at 10 years | 0–1000 |
+| `verification_recency` | 0.15 | Linear decay: 1000 at last verification, 0 at 3 years | 0–1000 |
+| `seller_reputation` | 0.10 | M010 reputation score for the seller address | 0–1000 |
+| `price_fairness` | 0.10 | 1000 at class median, decaying by deviation (0 at ±50%) | 0–1000 |
+| `additionality_confidence` | 0.05 | Methodology additionality assessment from credit class metadata | 0–1000 |
+
+All factors are clamped to [0, 1000]. Final score is rounded to the nearest integer.
+
+### Confidence
+
+Confidence reflects data availability across seven boolean signals:
+
+| Signal | Check |
+|--------|-------|
+| `project_reputation_available` | Project has M010 reputation score |
+| `class_reputation_available` | Credit class has M010 reputation score |
+| `seller_reputation_available` | Seller has M010 reputation score |
+| `vintage_known` | Batch start date is available |
+| `verification_date_known` | Last verification timestamp available |
+| `price_data_available` | Listing price and class median available |
+| `methodology_available` | Credit class methodology metadata accessible |
+
+`confidence = round(count(true signals) / 7 × 1000)`
+
+### Price fairness calculation
+
+```
+median = class_batch_price_median(credit_type, vintage_year)
+deviation = |listing_price - median| / median
+price_fairness = max(0, round((1.0 - deviation * 2) × 1000))
+```
+
+At median → 1000; 25% deviation → 500; ≥50% deviation → 0.
+
+---
+
+## 6. State machine
+
+### Collection lifecycle
+
+```
+PROPOSED → ACTIVE → UNDER_REVIEW → ACTIVE (curator wins)
+                                  → SUSPENDED (challenger wins) → ACTIVE (top-up)
+                                                                → CLOSED
+         → CLOSED (curator exit, no pending challenges)
+```
+
+| Transition | Trigger | Guard |
+|------------|---------|-------|
+| → PROPOSED | `curator.create_collection(name, criteria, bond)` | bond ≥ min_curation_bond |
+| PROPOSED → ACTIVE | `activation_delay(48h) AND no_challenge` | — |
+| ACTIVE → ACTIVE (add) | `curator.add_to_collection(batch_denom)` | meets criteria, quality ≥ min_quality_score |
+| ACTIVE → ACTIVE (remove) | `curator.remove_from_collection(batch_denom)` | batch in collection |
+| ACTIVE → UNDER_REVIEW | `challenger.challenge_inclusion(evidence) OR agent.flag_violation` | deposit ≥ challenge_deposit |
+| UNDER_REVIEW → ACTIVE | `challenge.resolved(CURATOR_WINS)` | challenger deposit slashed |
+| UNDER_REVIEW → SUSPENDED | `challenge.resolved(CHALLENGER_WINS)` | batch removed, bond slashed |
+| SUSPENDED → ACTIVE | `curator.top_up_bond() AND suspension_expired` | bond ≥ min_curation_bond |
+| SUSPENDED → CLOSED | `timeout(top_up_window) OR curator.close()` | remaining bond refunded |
+| ACTIVE → CLOSED | `curator.close_collection()` | no pending challenges, unbonding period |
+
+---
+
+## 7. Token flows
+
+### Collection creation
+
+```
+Curator ──(curation_bond: 1000 REGEN)──→ Bond Pool
+```
+
+### Trade through collection
+
+```
+Buyer ──(purchase_price)──→ Marketplace
+Marketplace ──(price − trade_fee − curation_fee)──→ Seller
+Marketplace ──(curation_fee: 0.5% of trade)──→ Curator
+Marketplace ──(trade_fee)──→ Community Pool (via M013)
+```
+
+### Challenge resolution — Challenger wins
+
+```
+Bond Pool ──(bond × slash_percentage)──→ slash
+  slash ──(50%)──→ Challenger (reward)
+  slash ──(50%)──→ Community Pool
+```
+
+### Challenge resolution — Curator wins
+
+```
+Challenge Deposit ──(100%)──→ Community Pool (challenger loses deposit)
+```
+
+### Curator exit
+
+```
+Bond Pool ──(remaining bond)──→ Curator (after unbonding_period, 14 days)
+```
+
+### Governance parameters
+
+| Parameter | Default | Range |
+|-----------|---------|-------|
+| `min_curation_bond` | 1,000 REGEN | 100–10,000 |
+| `listing_fee` | 10 REGEN | 0–100 |
+| `curation_fee_rate` | 0.5% (50 bps) | 0–2% |
+| `challenge_deposit_amount` | 100 REGEN | 10–1,000 |
+| `slash_percentage` | 20% of bond | 5–50% |
+| `challenge_reward_share` | 50% of slash | 25–75% |
+| `activation_delay` | 48 hours | 24h–7d |
+| `unbonding_period` | 14 days | 7–30 days |
+| `bond_top_up_window` | 7 days | 3–14 days |
+| `min_quality_score` | 300 | 100–500 |
+| `max_collections_per_curator` | 5 | 1–20 |
+| `quality_refresh_interval` | 24 hours | 6h–7d |
+
+---
+
+## 8. Featured batches
+
+AGENT-003 can recommend batches for featured placement:
+
+| Criteria | Threshold |
+|----------|-----------|
+| Quality score | ≥ 800 (top 20%) |
+| Pending challenges | None |
+| Active sell orders | > 0 |
+
+Featured status lasts 7 days (renewable). Agent recommends (Layer 1), curator confirms (Layer 2).
+
+---
+
+## 9. Security invariants
+
+1. **Bond Conservation**: `bond_pool.balance = sum(active_collection_bonds) + sum(pending_refunds)` at all times.
+2. **Criteria Enforcement**: Every batch in a collection must satisfy the collection's `CurationCriteria` at addition time; AGENT-003 re-verifies daily for drift.
+3. **Curator Authority**: Only the collection curator can add/remove batches; agents cannot modify collection membership directly.
+4. **Slash Cap**: Cumulative slashing cannot exceed the curator's total bond. If `bond_remaining < min_curation_bond` after a slash, the collection transitions to SUSPENDED. If the bond is not topped up within `bond_top_up_window`, the collection then transitions to CLOSED.
+5. **No Self-Challenge**: Curator cannot challenge own collection; challenger cannot be seller of challenged batch.
+6. **Fee Integrity**: Curation fees only on trades through a collection; direct trades incur no curation fee.
+7. **Quality Score Immutability**: Scores are append-only (superseded, never edited); full history preserved.
+8. **Collection Uniqueness**: Each `(collection_id, batch_denom)` pair is unique; a batch can belong to multiple collections.
+
+---
+
+## 10. Attack model
+
+| Attack | Mitigation |
+|--------|-----------|
+| **Low-quality curation** | Challenge mechanism slashes curator bond; AGENT-003 flags quality violations |
+| **Sybil curators** | min_curation_bond (1000 REGEN) makes Sybil attacks expensive |
+| **Challenge spam** | Challenge deposit (100 REGEN) lost if challenge fails |
+| **Price manipulation** | AGENT-003 detects outlier pricing (z-score > 2.5) |
+| **Wash trading for fees** | Fee rate is small (0.5%); on-chain detection via AGENT-003 |
+| **Quality score gaming** | 7-factor scoring with diverse inputs; immutable score history |
+| **Curator front-running** | Activation delay (48h) prevents immediate inclusion of batches |
+| **Bond grinding** | max_collections_per_curator limits; unbonding_period prevents rapid cycling |
+
+---
+
+## 11. Integration points
+
+| System | Integration |
+|--------|-------------|
+| **M010 Reputation** | Project, class, and seller reputation scores as quality inputs |
+| **M013 Fee Routing** | Trade fees follow M013 distribution model |
+| **AGENT-003** | Autonomous quality scoring, price monitoring, collection monitoring |
+| **x/ecocredit** | Batch metadata (vintage, class, project), marketplace sell orders |
+| **x/ecocredit/basket** | Basket token quality scoring (constituent analysis) |
+| **KOI MCP** | Methodology metadata analysis, additionality confidence |
+| **Ledger MCP** | Bond balance queries, trade volume tracking |
+| **Heartbeat** | KPI metrics published in weekly digest |
+
+---
+
+## 12. Acceptance tests
+
+1. **Collection lifecycle**: Curator bonds → creates collection → adds batches → earns trade fees → closes → bond refunded.
+2. **Quality scoring**: AGENT-003 scores batch → score meets criteria → batch eligible for collection inclusion.
+3. **Challenge — challenger wins**: Challenger deposits → challenge resolved in challenger's favor → batch removed → curator bond slashed → challenger rewarded.
+4. **Challenge — curator wins**: Challenge resolved in curator's favor → challenger deposit slashed to community pool.
+5. **Suspension and recovery**: Curator slashed below min bond → collection SUSPENDED → curator tops up bond → collection ACTIVE.
+6. **Suspension and closure**: Curator slashed → top_up_window expires → collection CLOSED → remaining bond refunded.
+7. **Featured batch**: Quality score ≥ 800, no challenges, active orders → featured for 7 days.
+8. **Price fairness**: Listing at median → 1000; listing 50% above median → 0.
+9. **Max collections**: Curator at max_collections_per_curator cannot create new collection.
+
+---
+
+## 13. Rollout plan
+
+| Phase | Scope | Dependencies |
+|-------|-------|-------------|
+| **v0 (advisory)** | AGENT-003 computes quality scores off-chain; KPI metrics in digest. No on-chain curation bonds or collections. | M010 (reputation), KOI MCP |
+| **v1 (on-chain curation)** | CosmWasm `marketplace-curation` contract with collection creation, bond lock, batch inclusion, challenge mechanism. Quality scores submitted on-chain. | M010, AGENT-003, DAO DAO |
+| **v2 (full marketplace)** | Curation fee routing via M013, featured batches, collection performance reports, basket token support. | M013, x/ecocredit/basket |
+
+---
+
+## Appendix: Source anchors
+
+| Document | Section |
+|----------|---------|
+| `phase-2/2.1-token-utility-mechanisms.md` | M011 Marketplace Curation & Quality Signals (lines 650–908) |
+| `phase-3/3.1-smart-contract-specs.md` | CosmWasm Contract: Marketplace Curation (lines 1080–1155) |
diff --git a/mechanisms/m011-marketplace-curation/datasets/README.md b/mechanisms/m011-marketplace-curation/datasets/README.md
new file mode 100644
index 0000000..3acdf0e
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/datasets/README.md
@@ -0,0 +1,11 @@
+# m011 replay datasets
+
+Fixture files for replay testing of m011 (Marketplace Curation & Quality Signals) computations.
+
+## Files
+- `schema.json` — JSON Schema for the replay dataset format.
+- `fixtures/v0_sample.json` — Five scored credit batches across carbon (C), biodiversity (BT), and Kasigau (KSH) types, with three curated collections (ACTIVE and CLOSED). Quality scores match reference-impl output.
+- `fixtures/v0_collection_sample.json` — Three collections covering challenge lifecycle scenarios: UNDER_REVIEW (pending), SUSPENDED (challenger wins), ACTIVE (curator wins, challenge resolved).
+
+## Usage
+Feed fixture files into `m011_kpi.js` to verify KPI computation. Quality scores in fixtures correspond to `m011_score.js` output for the matching factor inputs.
diff --git a/mechanisms/m011-marketplace-curation/datasets/fixtures/v0_collection_sample.json b/mechanisms/m011-marketplace-curation/datasets/fixtures/v0_collection_sample.json
new file mode 100644
index 0000000..5494873
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/datasets/fixtures/v0_collection_sample.json
@@ -0,0 +1,94 @@
+{
+  "mechanism_id": "m011",
+  "scope": "v0_advisory",
+  "as_of": "2026-02-18T12:00:00Z",
+  "scored_batches": [
+    {
+      "batch_denom": "C01-001-20250601-20260101-001",
+      "credit_type": "C",
+      "class_id": "C01",
+      "project_id": "P-regen-001",
+      "seller": "regen1seller01",
+      "quality_score": 818,
+      "confidence": 1000,
+      "scored_at": "2026-02-17T08:00:00Z"
+    },
+    {
+      "batch_denom": "C05-001-20240601-20250101-002",
+      "credit_type": "C",
+      "class_id": "C05",
+      "project_id": "P-regen-030",
+      "seller": "regen1seller06",
+      "quality_score": 250,
+      "confidence": 571,
+      "scored_at": "2026-02-17T08:00:00Z"
+    },
+    {
+      "batch_denom": "C02-001-20250101-20250601-001",
+      "credit_type": "C",
+      "class_id": "C02",
+      "project_id": "P-regen-010",
+      "seller": "regen1seller07",
+      "quality_score": 720,
+      "confidence": 857,
+      "scored_at": "2026-02-17T08:00:00Z"
+    }
+  ],
+  "collections": [
+    {
+      "collection_id": "col-c01",
+      "curator": "regen1curatorch01",
+      "name": "High-Integrity Carbon",
+      "bond": { "amount": "2000000000", "denom": "uregen" },
+      "members": [
+        "C01-001-20250601-20260101-001",
+        "C05-001-20240601-20250101-002"
+      ],
+      "status": "UNDER_REVIEW",
+      "trade_volume": "8000000000",
+      "total_rewards": "40000000",
+      "challenge": {
+        "challenger": "regen1challenger01",
+        "batch_denom": "C05-001-20240601-20250101-002",
+        "reason": "Batch quality score 250 is below collection quality floor of 500; satellite imagery contradicts claimed sequestration area",
+        "outcome": null
+      }
+    },
+    {
+      "collection_id": "col-c02",
+      "curator": "regen1curatorch02",
+      "name": "Verified Reforestation",
+      "bond": { "amount": "1000000000", "denom": "uregen" },
+      "members": [
+        "C02-001-20250101-20250601-001"
+      ],
+      "status": "SUSPENDED",
+      "trade_volume": "2000000000",
+      "total_rewards": "10000000",
+      "challenge": {
+        "challenger": "regen1challenger02",
+        "batch_denom": "C02-001-20250101-20250601-001",
+        "reason": "Verification report found to be outdated; project boundary has changed since last verification",
+        "outcome": "CHALLENGER_WINS"
+      }
+    },
+    {
+      "collection_id": "col-c03",
+      "curator": "regen1curatorch03",
+      "name": "Community Carbon Fund",
+      "bond": { "amount": "1500000000", "denom": "uregen" },
+      "members": [
+        "C01-001-20250601-20260101-001"
+      ],
+      "status": "ACTIVE",
+      "trade_volume": "5000000000",
+      "total_rewards": "25000000",
+      "challenge": {
+        "challenger": "regen1challenger03",
+        "batch_denom": "C01-001-20250601-20260101-001",
+        "reason": "False claim: batch was properly verified and curator selection criteria were met",
+        "outcome": "CURATOR_WINS"
+      }
+    }
+  ]
+}
diff --git a/mechanisms/m011-marketplace-curation/datasets/fixtures/v0_sample.json b/mechanisms/m011-marketplace-curation/datasets/fixtures/v0_sample.json
new file mode 100644
index 0000000..cfa7fd9
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/datasets/fixtures/v0_sample.json
@@ -0,0 +1,98 @@
+{
+  "mechanism_id": "m011",
+  "scope": "v0_advisory",
+  "as_of": "2026-02-18T12:00:00Z",
+  "scored_batches": [
+    {
+      "batch_denom": "C01-001-20250601-20260101-001",
+      "credit_type": "C",
+      "class_id": "C01",
+      "project_id": "P-regen-001",
+      "seller": "regen1seller01",
+      "quality_score": 818,
+      "confidence": 1000,
+      "scored_at": "2026-02-18T08:00:00Z"
+    },
+    {
+      "batch_denom": "C04-001-20240101-20241231-003",
+      "credit_type": "C",
+      "class_id": "C04",
+      "project_id": "P-regen-042",
+      "seller": "regen1seller02",
+      "quality_score": 648,
+      "confidence": 1000,
+      "scored_at": "2026-02-18T08:00:00Z"
+    },
+    {
+      "batch_denom": "BT01-001-20250301-20250901-001",
+      "credit_type": "BT",
+      "class_id": "BT01",
+      "project_id": "P-regen-050",
+      "seller": "regen1seller03",
+      "quality_score": 593,
+      "confidence": 714,
+      "scored_at": "2026-02-18T08:00:00Z"
+    },
+    {
+      "batch_denom": "C09-001-20230601-20240101-002",
+      "credit_type": "C",
+      "class_id": "C09",
+      "project_id": "P-regen-099",
+      "seller": "regen1seller04",
+      "quality_score": 755,
+      "confidence": 1000,
+      "scored_at": "2026-02-18T08:00:00Z"
+    },
+    {
+      "batch_denom": "KSH01-001-20250101-20250601-001",
+      "credit_type": "KSH",
+      "class_id": "KSH01",
+      "project_id": "P-regen-070",
+      "seller": "regen1seller05",
+      "quality_score": 325,
+      "confidence": 429,
+      "scored_at": "2026-02-18T08:00:00Z"
+    }
+  ],
+  "collections": [
+    {
+      "collection_id": "col-001",
+      "curator": "regen1curator01",
+      "name": "Premium Carbon Credits",
+      "bond": { "amount": "1000000000", "denom": "uregen" },
+      "members": [
+        "C01-001-20250601-20260101-001",
+        "C04-001-20240101-20241231-003",
+        "C09-001-20230601-20240101-002"
+      ],
+      "status": "ACTIVE",
+      "trade_volume": "15000000000",
+      "total_rewards": "75000000",
+      "challenge": null
+    },
+    {
+      "collection_id": "col-002",
+      "curator": "regen1curator02",
+      "name": "Biodiversity & Ecosystem",
+      "bond": { "amount": "1000000000", "denom": "uregen" },
+      "members": [
+        "BT01-001-20250301-20250901-001"
+      ],
+      "status": "ACTIVE",
+      "trade_volume": "3000000000",
+      "total_rewards": "15000000",
+      "challenge": null
+    },
+    {
+      "collection_id": "col-003",
+      "curator": "regen1curator03",
+      "name": "Closed Collection",
+      "bond": { "amount": "1000000000", "denom": "uregen" },
+      "members": [],
+      "status": "CLOSED",
+      "trade_volume": "500000000",
+      "total_rewards": "2500000",
+      "challenge": null
+    }
+  ]
+}
diff --git a/mechanisms/m011-marketplace-curation/datasets/schema.json b/mechanisms/m011-marketplace-curation/datasets/schema.json
new file mode 100644
index 0000000..3810d8a
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/datasets/schema.json
@@ -0,0 +1,69 @@
+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "$id": "m011_dataset_v0",
+  "title": "m011 replay dataset",
+  "description": "Replay dataset for m011 Marketplace Curation — credit batch quality scores and curated collection lifecycle records.",
+  "type": "object",
+  "required": ["mechanism_id", "scope", "as_of"],
+  "properties": {
+    "mechanism_id": { "const": "m011" },
+    "scope": { "type": "string" },
+    "as_of": { "type": "string", "format": "date-time" },
+    "scored_batches": {
+      "type": "array",
+      "items": {
+        "type": "object",
+        "required": ["batch_denom", "credit_type", "quality_score"],
+        "properties": {
+          "batch_denom": { "type": "string" },
+          "credit_type": { "type": "string" },
+          "class_id": { "type": "string" },
+          "project_id": { "type": "string" },
+          "seller": { "type": ["string", "null"] },
+          "quality_score": { "type": ["integer", "null"], "minimum": 0, "maximum": 1000 },
+          "confidence": { "type": ["integer", "null"], "minimum": 0, "maximum": 1000 },
+          "scored_at": { "type": "string", "format": "date-time" }
+        }
+      }
+    },
+    "collections": {
+      "type": "array",
+      "items": {
+        "type": "object",
+        "required": ["collection_id", "curator", "name", "bond", "status"],
+        "properties": {
+          "collection_id": { "type": "string" },
+          "curator": { "type": "string" },
+          "name": { "type": "string" },
+          "bond": {
+            "type": "object",
+            "required": ["amount", "denom"],
+            "properties": {
+              "amount": { "type": "string" },
+              "denom": { "type": "string" }
+            }
+          },
+          "members": {
+            "type": "array",
+            "items": { "type": "string" }
+          },
+          "status": {
+            "type": "string",
+            "enum": ["PROPOSED", "ACTIVE", "SUSPENDED", "UNDER_REVIEW", "CLOSED"]
+          },
+          "trade_volume": { "type": "string" },
+          "total_rewards": { "type": "string" },
+          "challenge": {
+            "type": ["object", "null"],
+            "properties": {
+              "challenger": { "type": "string" },
+              "batch_denom": { "type": "string" },
+              "reason": { "type": "string" },
+              "outcome": { "type": ["string", "null"], "enum": ["CURATOR_WINS", "CHALLENGER_WINS", null] }
+            }
+          }
+        }
+      }
+    }
+  }
+}
diff --git a/mechanisms/m011-marketplace-curation/reference-impl/README.md b/mechanisms/m011-marketplace-curation/reference-impl/README.md
new file mode 100644
index 0000000..0b0625f
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/reference-impl/README.md
@@ -0,0 +1,51 @@
+# m011 reference implementation (v0 advisory)
+
+This folder provides a **canonical computation** for m011 outputs so that different agents/runners
+produce consistent numbers.
+
+## Inputs
+
+### Scoring (`m011_score.js`)
+An input object per credit batch:
+
+- `batch` — batch metadata:
+  - `batch_denom` (string)
+  - `credit_type` (string, e.g., "C", "BT")
+  - `class_id` (string)
+  - `project_id` (string)
+  - `seller` (string, optional)
+- `factors` — pre-computed factor scores (each 0–1000):
+  - `project_reputation` — M010 score for the project
+  - `class_reputation` — M010 score for the credit class
+  - `vintage_freshness` — linear decay: 1000 at issuance, 0 at 10 years
+  - `verification_recency` — linear decay: 1000 at last verification, 0 at 3 years
+  - `seller_reputation` — M010 score for the seller address
+  - `price_fairness` — 1000 at median, 0 at ±50% deviation
+  - `additionality_confidence` — methodology additionality score
+  - Boolean availability signals: `project_reputation_available`, `class_reputation_available`, `seller_reputation_available`, `vintage_known`, `verification_date_known`, `price_data_available`, `methodology_available`
+
+### KPI (`m011_kpi.js`)
+- `as_of` (ISO-8601 string, Z-suffixed)
+- `collections[]` — each with `status`, `bond`, `members`, `trade_volume`, `total_rewards`, `challenge` (optional)
+- `scored_batches[]` — each with `quality_score`
+
+## Outputs
+
+### Score
+- `score` (0–1000) — weighted composite
+- `confidence` (0–1000) — data availability (7 signals)
+- `factors` — individual factor scores
+
+Formula:
+```
+score = 0.25 × project_reputation + 0.20 × class_reputation + 0.15 × vintage_freshness
+      + 0.15 × verification_recency + 0.10 × seller_reputation + 0.10 × price_fairness
+      + 0.05 × additionality_confidence
+```
+
+### KPI block
+- Collection counts by status (active, closed, suspended, under_review)
+- Batch scoring stats (scored, avg score, featured count)
+- `challenge_rate`, `challenge_outcome_breakdown`
+- Curation economics (total bonded/slashed/rewards/volume, avg collection size)
+- Quality score distribution
diff --git a/mechanisms/m011-marketplace-curation/reference-impl/m011_kpi.js b/mechanisms/m011-marketplace-curation/reference-impl/m011_kpi.js
new file mode 100644
index 0000000..1f8d01e
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/reference-impl/m011_kpi.js
@@ -0,0 +1,97 @@
+export function computeM011KPI({ as_of, collections, scored_batches }) {
+  const colls = collections ?? [];
+  const batches = scored_batches ?? [];
+
+  // Collection counts
+  const collections_active = colls.filter(c =>
+    ["ACTIVE", "PROPOSED"].includes(c.status)
+  ).length;
+  const collections_closed = colls.filter(c => c.status === "CLOSED").length;
+  const collections_suspended = colls.filter(c => c.status === "SUSPENDED").length;
+  const collections_under_review = colls.filter(c => c.status === "UNDER_REVIEW").length;
+
+  // Batch scoring stats
+  const batches_scored = batches.length;
+  const scores = batches.map(b => b.quality_score).filter(s => s != null);
+  const avg_quality_score = scores.length > 0
+    ? Number((scores.reduce((s, q) => s + q, 0) / scores.length).toFixed(1))
+    : null;
+
+  const featured_batches = batches.filter(b =>
+    b.quality_score != null && b.quality_score >= 800
+  ).length;
+
+  // Challenge stats
+  const challenged = colls.filter(c =>
+    c.challenge != null && c.challenge.outcome != null
+  );
+  const total_colls = colls.length;
+  const challenge_rate = total_colls > 0
+    ? Number((colls.filter(c => c.challenge != null).length / total_colls).toFixed(4))
+    : 0.0;
+
+  const challenge_outcome_breakdown = challenged.length > 0
+    ? {
+        curator_wins: challenged.filter(c => c.challenge.outcome === "CURATOR_WINS").length,
+        challenger_wins: challenged.filter(c => c.challenge.outcome === "CHALLENGER_WINS").length
+      }
+    : null;
+
+  // Curation economics
+  const bonds = colls.map(c => parseInt(c.bond?.amount ?? "0", 10)).filter(b => b > 0);
+  const total_bonded = bonds.reduce((s, b) => s + b, 0);
+
+  const DEFAULT_SLASH_PERCENTAGE = 0.20; // governance parameter, see SPEC.md
+  const slashed_colls = colls.filter(c =>
+    c.challenge?.outcome === "CHALLENGER_WINS"
+  );
+  const total_slashed = slashed_colls.reduce((s, c) => {
+    const bond = parseInt(c.bond?.amount ?? "0", 10);
+    return s + Math.round(bond * DEFAULT_SLASH_PERCENTAGE);
+  }, 0);
+
+  const total_trade_volume = colls.reduce((s, c) =>
+    s + parseInt(c.trade_volume ?? "0", 10), 0
+  );
+  const total_curator_rewards = colls.reduce((s, c) =>
+    s + parseInt(c.total_rewards ?? "0", 10), 0
+  );
+
+  const member_counts = colls.filter(c => c.members).map(c => c.members.length);
+  const avg_collection_size = member_counts.length > 0
+    ? Number((member_counts.reduce((s, n) => s + n, 0) / member_counts.length).toFixed(1))
+    : null;
+
+  // Quality score distribution
+  const quality_score_distribution = scores.length > 0
+    ? {
+        below_300: scores.filter(s => s < 300).length,
+        "300_to_599": scores.filter(s => s >= 300 && s < 600).length,
+        "600_to_799": scores.filter(s => s >= 600 && s < 800).length,
+        "800_plus": scores.filter(s => s >= 800).length
+      }
+    : null;
+
+  return {
+    mechanism_id: "m011",
+    scope: "v0_advisory",
+    as_of,
+    collections_active,
+    collections_closed,
+    collections_suspended,
+    collections_under_review,
+    batches_scored,
+    avg_quality_score,
+    featured_batches,
+    challenge_rate,
+    challenge_outcome_breakdown,
+    curation_economics: {
+      total_bonded: String(total_bonded),
+      total_slashed: String(total_slashed),
+      total_curator_rewards: String(total_curator_rewards),
+      total_trade_volume: String(total_trade_volume),
+      avg_collection_size
+    },
+    quality_score_distribution
+  };
+}
diff --git a/mechanisms/m011-marketplace-curation/reference-impl/m011_score.js b/mechanisms/m011-marketplace-curation/reference-impl/m011_score.js
new file mode 100644
index 0000000..41f12a2
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/reference-impl/m011_score.js
@@ -0,0 +1,157 @@
+/**
+ * v0 (advisory): 7-factor weighted composite quality scoring for credit batches.
+ *
+ * Factors:
+ *   project_reputation        (weight 0.25): M010 reputation for the project
+ *   class_reputation          (weight 0.20): M010 reputation for the credit class
+ *   vintage_freshness         (weight 0.15): Linear decay from issuance to 10 years
+ *   verification_recency      (weight 0.15): Linear decay from last verification to 3 years
+ *   seller_reputation         (weight 0.10): M010 reputation for the seller
+ *   price_fairness            (weight 0.10): Deviation from class median price
+ *   additionality_confidence  (weight 0.05): Methodology additionality assessment
+ *
+ * See SPEC.md section 5 for full formula.
+ *
+ * @param {Object} opts
+ * @param {Object} opts.batch - Batch metadata
+ * @param {Object} opts.factors - Pre-computed factor scores (each 0-1000)
+ * @returns {{ score: number, confidence: number, factors: Object }}
+ */
+export function computeM011Score({ batch, factors }) {
+  const W_PROJECT = 0.25;
+  const W_CLASS = 0.20;
+  const W_VINTAGE = 0.15;
+  const W_VERIFICATION = 0.15;
+  const W_SELLER = 0.10;
+  const W_PRICE = 0.10;
+  const W_ADDITIONALITY = 0.05;
+
+  const clamp = (v, lo, hi) => Math.max(lo, Math.min(hi, v));
+
+  const fProject = clamp(factors.project_reputation ?? 0, 0, 1000);
+  const fClass = clamp(factors.class_reputation ?? 0, 0, 1000);
+  const fVintage = clamp(factors.vintage_freshness ?? 0, 0, 1000);
+  const fVerification = clamp(factors.verification_recency ?? 0, 0, 1000);
+  const fSeller = clamp(factors.seller_reputation ?? 0, 0, 1000);
+  const fPrice = clamp(factors.price_fairness ?? 0, 0, 1000);
+  const fAdditionality = clamp(factors.additionality_confidence ?? 0, 0, 1000);
+
+  const score = Math.round(
+    W_PROJECT * fProject +
+    W_CLASS * fClass +
+    W_VINTAGE * fVintage +
+    W_VERIFICATION * fVerification +
+    W_SELLER * fSeller +
+    W_PRICE * fPrice +
+    W_ADDITIONALITY * fAdditionality
+  );
+
+  const confidence = computeConfidence(factors);
+
+  return {
+    score: clamp(score, 0, 1000),
+    confidence,
+    factors: {
+      project_reputation: fProject,
+      class_reputation: fClass,
+      vintage_freshness: fVintage,
+      verification_recency: fVerification,
+      seller_reputation: fSeller,
+      price_fairness: fPrice,
+      additionality_confidence: fAdditionality
+    }
+  };
+}
+
+/**
+ * Compute vintage freshness factor.
+ * Linear decay: 1000 at issuance, 0 at 10 years.
+ *
+ * @param {number} ageYears - Years since batch start date
+ * @returns {number} 0-1000
+ */
+export function computeVintageFreshness(ageYears) {
+  if (ageYears <= 0) return 1000;
+  if (ageYears >= 10) return 0;
+  return Math.round((1.0 - ageYears / 10) * 1000);
+}
+
+/**
+ * Compute verification recency factor.
+ * Linear decay: 1000 at last verification, 0 at 3 years.
+ *
+ * @param {number} ageYears - Years since last verification
+ * @returns {number} 0-1000
+ */
+export function computeVerificationRecency(ageYears) {
+  if (ageYears <= 0) return 1000;
+  if (ageYears >= 3) return 0;
+  return Math.round((1.0 - ageYears / 3) * 1000);
+}
+
+/**
+ * Compute price fairness factor.
+ * 1000 at median, 0 at ±50% deviation.
+ *
+ * @param {number} listingPrice
+ * @param {number} medianPrice
+ * @returns {number} 0-1000
+ */
+export function computePriceFairness(listingPrice, medianPrice) {
+  if (medianPrice <= 0) return 0;
+  const deviation = Math.abs(listingPrice - medianPrice) / medianPrice;
+  return Math.max(0, Math.round((1.0 - deviation * 2) * 1000));
+}
+
+function computeConfidence(factors) {
+  let available = 0;
+  const total = 7;
+  if (factors.project_reputation_available) available++;
+  if (factors.class_reputation_available) available++;
+  if (factors.seller_reputation_available) available++;
+  if (factors.vintage_known !== false) available++;
+  if (factors.verification_date_known) available++;
+  if (factors.price_data_available) available++;
+  if (factors.methodology_available) available++;
+  return Math.round((available / total) * 1000);
+}
+
+// --- Self-test ---
+const isMain = typeof process !== "undefined" &&
+  process.argv[1] &&
+  (process.argv[1].endsWith("m011_score.js") || process.argv[1].endsWith("m011_score"));
+
+if (isMain) {
+  const fs = await import("node:fs");
+  const path = await import("node:path");
+  const url = await import("node:url");
+
+  const __dirname = path.dirname(url.fileURLToPath(import.meta.url));
+  const inputPath = path.join(__dirname, "test_vectors", "vector_v0_sample.input.json");
+  const expectedPath = path.join(__dirname, "test_vectors", "vector_v0_sample.expected.json");
+
+  const input = JSON.parse(fs.readFileSync(inputPath, "utf8"));
+  const expected = JSON.parse(fs.readFileSync(expectedPath, "utf8"));
+
+  const results = input.batches.map(b => computeM011Score({
+    batch: b.batch,
+    factors: b.factors
+  }));
+
+  let pass = true;
+  for (let i = 0; i < results.length; i++) {
+    const r = results[i];
+    const e = expected.scores[i];
+    if (r.score !== e.score) {
+      console.error(`FAIL batch[${i}]: got score=${r.score}, expected score=${e.score}`);
+      pass = false;
+    }
+  }
+
+  if (pass) {
+    console.log("m011_score self-test: PASS");
+    console.log(JSON.stringify({ scores: results }, null, 2));
+  } else {
+    process.exit(1);
+  }
+}
diff --git a/mechanisms/m011-marketplace-curation/reference-impl/test_vectors/vector_v0_sample.expected.json b/mechanisms/m011-marketplace-curation/reference-impl/test_vectors/vector_v0_sample.expected.json
new file mode 100644
index 0000000..c5507c9
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/reference-impl/test_vectors/vector_v0_sample.expected.json
@@ -0,0 +1,69 @@
+{
+  "scores": [
+    {
+      "score": 818,
+      "confidence": 1000,
+      "factors": {
+        "project_reputation": 800,
+        "class_reputation": 750,
+        "vintage_freshness": 900,
+        "verification_recency": 850,
+        "seller_reputation": 700,
+        "price_fairness": 950,
+        "additionality_confidence": 800
+      }
+    },
+    {
+      "score": 648,
+      "confidence": 1000,
+      "factors": {
+        "project_reputation": 600,
+        "class_reputation": 700,
+        "vintage_freshness": 700,
+        "verification_recency": 600,
+        "seller_reputation": 500,
+        "price_fairness": 800,
+        "additionality_confidence": 650
+      }
+    },
+    {
+      "score": 593,
+      "confidence": 714,
+      "factors": {
+        "project_reputation": 400,
+        "class_reputation": 500,
+        "vintage_freshness": 950,
+        "verification_recency": 900,
+        "seller_reputation": 300,
+        "price_fairness": 600,
+        "additionality_confidence": 500
+      }
+    },
+    {
+      "score": 755,
+      "confidence": 1000,
+      "factors": {
+        "project_reputation": 900,
+        "class_reputation": 850,
+        "vintage_freshness": 500,
+        "verification_recency": 400,
+        "seller_reputation": 800,
+        "price_fairness": 1000,
+        "additionality_confidence": 900
+      }
+    },
+    {
+      "score": 325,
+      "confidence": 429,
+      "factors": {
+        "project_reputation": 200,
+        "class_reputation": 300,
+        "vintage_freshness": 800,
+        "verification_recency": 200,
+        "seller_reputation": 100,
+        "price_fairness": 400,
+        "additionality_confidence": 300
+      }
+    }
+  ]
+}
diff --git a/mechanisms/m011-marketplace-curation/reference-impl/test_vectors/vector_v0_sample.input.json b/mechanisms/m011-marketplace-curation/reference-impl/test_vectors/vector_v0_sample.input.json
new file mode 100644
index 0000000..41c7756
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/reference-impl/test_vectors/vector_v0_sample.input.json
@@ -0,0 +1,130 @@
+{
+  "as_of": "2026-02-18T12:00:00Z",
+  "batches": [
+    {
+      "batch": {
+        "batch_denom": "C01-001-20250601-20260101-001",
+        "credit_type": "C",
+        "class_id": "C01",
+        "project_id": "P-regen-001",
+        "seller": "regen1seller01"
+      },
+      "factors": {
+        "project_reputation": 800,
+        "class_reputation": 750,
+        "vintage_freshness": 900,
+        "verification_recency": 850,
+        "seller_reputation": 700,
+        "price_fairness": 950,
+        "additionality_confidence": 800,
+        "project_reputation_available": true,
+        "class_reputation_available": true,
+        "seller_reputation_available": true,
+        "vintage_known": true,
+        "verification_date_known": true,
+        "price_data_available": true,
+        "methodology_available": true
+      }
+    },
+    {
+      "batch": {
+        "batch_denom": "C04-001-20240101-20241231-003",
+        "credit_type": "C",
+        "class_id": "C04",
+        "project_id": "P-regen-042",
+        "seller": "regen1seller02"
+      },
+      "factors": {
+        "project_reputation": 600,
+        "class_reputation": 700,
+        "vintage_freshness": 700,
+        "verification_recency": 600,
+        "seller_reputation": 500,
+        "price_fairness": 800,
+        "additionality_confidence": 650,
+        "project_reputation_available": true,
+        "class_reputation_available": true,
+        "seller_reputation_available": true,
+        "vintage_known": true,
+        "verification_date_known": true,
+        "price_data_available": true,
+        "methodology_available": true
+      }
+    },
+    {
+      "batch": {
+        "batch_denom": "BT01-001-20250301-20250901-001",
+        "credit_type": "BT",
+        "class_id": "BT01",
+        "project_id": "P-regen-050",
+        "seller": "regen1seller03"
+      },
+      "factors": {
+        "project_reputation": 400,
+        "class_reputation": 500,
+        "vintage_freshness": 950,
+        "verification_recency": 900,
+        "seller_reputation": 300,
+        "price_fairness": 600,
+        "additionality_confidence": 500,
+        "project_reputation_available": true,
+        "class_reputation_available": true,
+        "seller_reputation_available": false,
+        "vintage_known": true,
+        "verification_date_known": true,
+        "price_data_available": true,
+        "methodology_available": false
+      }
+    },
+    {
+      "batch": {
+        "batch_denom": "C09-001-20230601-20240101-002",
+        "credit_type": "C",
+        "class_id": "C09",
+        "project_id": "P-regen-099",
+        "seller": "regen1seller04"
+      },
+      "factors": {
+        "project_reputation": 900,
+        "class_reputation": 850,
+        "vintage_freshness": 500,
+        "verification_recency": 400,
+        "seller_reputation": 800,
+        "price_fairness": 1000,
+        "additionality_confidence": 900,
+        "project_reputation_available": true,
+        "class_reputation_available": true,
+        "seller_reputation_available": true,
+        "vintage_known": true,
+        "verification_date_known": true,
+        "price_data_available": true,
+        "methodology_available": true
+      }
+    },
+    {
+      "batch": {
+        "batch_denom": "KSH01-001-20250101-20250601-001",
+        "credit_type": "KSH",
+        "class_id": "KSH01",
+        "project_id": "P-regen-070",
+        "seller": "regen1seller05"
+      },
+      "factors": {
+        "project_reputation": 200,
+        "class_reputation": 300,
+        "vintage_freshness": 800,
+        "verification_recency": 200,
+        "seller_reputation": 100,
+        "price_fairness": 400,
+        "additionality_confidence": 300,
+        "project_reputation_available": false,
+        "class_reputation_available": true,
+        "seller_reputation_available": false,
+        "vintage_known": true,
+        "verification_date_known": false,
+        "price_data_available": true,
+        "methodology_available": false
+      }
+    }
+  ]
+}
diff --git a/mechanisms/m011-marketplace-curation/schemas/README.md b/mechanisms/m011-marketplace-curation/schemas/README.md
new file mode 100644
index 0000000..78a95dd
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/schemas/README.md
@@ -0,0 +1,14 @@
+# m011 output schemas
+
+These JSON Schemas define **canonical output shapes** for m011 (Marketplace Curation & Quality Signals) artifacts.
+
+## Files
+- `m011_quality_score.schema.json` — schema for credit batch quality score output (score, confidence, 7-factor breakdown).
+- `m011_collection.schema.json` — schema for curated collection lifecycle objects (bond, members, criteria, challenge details).
+- `m011_kpi.schema.json` — schema for KPI metrics (collection counts, quality distribution, curation economics, challenge rate).
+
+## Notes
+- These schemas are intended for **validation** and consistency across repos (Heartbeat, agent skills, etc.).
+- v0 is advisory-only: schemas describe outputs, not enforcement.
+- The `status` field on collections tracks lifecycle state (PROPOSED → ACTIVE → UNDER_REVIEW/SUSPENDED → CLOSED). See SPEC.md section 6.
+- Quality scores use 7 weighted factors from diverse data sources (M010 reputation, x/ecocredit metadata, AGENT-003 pricing).
diff --git a/mechanisms/m011-marketplace-curation/schemas/m011_collection.schema.json b/mechanisms/m011-marketplace-curation/schemas/m011_collection.schema.json
new file mode 100644
index 0000000..6c39ce1
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/schemas/m011_collection.schema.json
@@ -0,0 +1,109 @@
+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "$id": "m011_collection_v0",
+  "title": "m011 curated collection",
+  "description": "Schema for an M011 curated collection lifecycle object.",
+  "type": "object",
+  "required": [
+    "collection_id",
+    "curator",
+    "name",
+    "bond",
+    "members",
+    "status"
+  ],
+  "properties": {
+    "collection_id": {
+      "type": "string",
+      "description": "Unique identifier for the collection."
+    },
+    "curator": {
+      "type": "string",
+      "description": "Bech32 address of the collection curator."
+    },
+    "name": {
+      "type": "string",
+      "description": "Human-readable collection name."
+    },
+    "description": {
+      "type": "string"
+    },
+    "bond": {
+      "type": "object",
+      "required": ["amount", "denom"],
+      "properties": {
+        "amount": { "type": "string", "pattern": "^[0-9]+$" },
+        "denom": { "type": "string" }
+      }
+    },
+    "bond_remaining": {
+      "type": "object",
+      "required": ["amount", "denom"],
+      "properties": {
+        "amount": { "type": "string", "pattern": "^[0-9]+$" },
+        "denom": { "type": "string" }
+      }
+    },
+    "criteria": {
+      "type": "object",
+      "properties": {
+        "min_project_reputation": { "type": ["integer", "null"] },
+        "min_class_reputation": { "type": ["integer", "null"] },
+        "allowed_credit_types": {
+          "type": "array",
+          "items": { "type": "string" }
+        },
+        "geographic_scope": {
+          "type": "array",
+          "items": { "type": "string" }
+        },
+        "min_vintage_year": { "type": ["integer", "null"] },
+        "max_vintage_year": { "type": ["integer", "null"] }
+      }
+    },
+    "members": {
+      "type": "array",
+      "items": { "type": "string" },
+      "description": "List of batch denoms in this collection."
+    },
+    "quality_floor": {
+      "type": "integer",
+      "minimum": 0,
+      "maximum": 1000,
+      "description": "Minimum quality score for batch inclusion."
+    },
+    "fee_share": {
+      "type": "number",
+      "minimum": 0,
+      "maximum": 1,
+      "description": "Curator's share of trades through collection."
+    },
+    "status": {
+      "type": "string",
+      "enum": ["PROPOSED", "ACTIVE", "SUSPENDED", "UNDER_REVIEW", "CLOSED"],
+      "description": "Current collection lifecycle status."
+    },
+    "trade_volume": { "type": "string", "description": "Cumulative trade volume (uregen)." },
+    "total_rewards": { "type": "string", "description": "Cumulative curator rewards (uregen)." },
+    "created_at": { "type": "string", "format": "date-time" },
+    "activated_at": { "type": ["string", "null"], "format": "date-time" },
+    "challenge": {
+      "type": ["object", "null"],
+      "properties": {
+        "challenger": { "type": "string" },
+        "batch_denom": { "type": "string" },
+        "reason": { "type": "string" },
+        "deposit": {
+          "type": "object",
+          "properties": {
+            "amount": { "type": "string" },
+            "denom": { "type": "string" }
+          }
+        },
+        "outcome": { "type": ["string", "null"], "enum": ["CURATOR_WINS", "CHALLENGER_WINS", null] },
+        "challenged_at": { "type": "string", "format": "date-time" },
+        "resolved_at": { "type": ["string", "null"], "format": "date-time" }
+      }
+    }
+  }
+}
diff --git a/mechanisms/m011-marketplace-curation/schemas/m011_kpi.schema.json b/mechanisms/m011-marketplace-curation/schemas/m011_kpi.schema.json
new file mode 100644
index 0000000..22e7c8f
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/schemas/m011_kpi.schema.json
@@ -0,0 +1,62 @@
+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "$id": "m011_kpi_v0",
+  "title": "m011 KPI block",
+  "description": "Schema for M011 marketplace curation KPI metrics.",
+  "type": "object",
+  "required": [
+    "mechanism_id",
+    "scope",
+    "as_of",
+    "collections_active",
+    "collections_closed",
+    "collections_suspended",
+    "batches_scored",
+    "challenge_rate",
+    "curation_economics"
+  ],
+  "properties": {
+    "mechanism_id": { "const": "m011" },
+    "scope": { "type": "string" },
+    "as_of": { "type": "string", "format": "date-time" },
+    "collections_active": { "type": "integer", "minimum": 0 },
+    "collections_closed": { "type": "integer", "minimum": 0 },
+    "collections_suspended": { "type": "integer", "minimum": 0 },
+    "collections_under_review": { "type": "integer", "minimum": 0 },
+    "batches_scored": { "type": "integer", "minimum": 0 },
+    "avg_quality_score": { "type": ["number", "null"] },
+    "featured_batches": { "type": "integer", "minimum": 0 },
+    "challenge_rate": { "type": "number", "minimum": 0, "maximum": 1 },
+    "challenge_outcome_breakdown": {
+      "type": ["object", "null"],
+      "properties": {
+        "curator_wins": { "type": "integer", "minimum": 0 },
+        "challenger_wins": { "type": "integer", "minimum": 0 }
+      }
+    },
+    "curation_economics": {
+      "type": "object",
+      "required": ["total_bonded", "total_slashed", "total_curator_rewards", "total_trade_volume"],
+      "properties": {
+        "total_bonded": { "type": "string" },
+        "total_slashed": { "type": "string" },
+        "total_curator_rewards": { "type": "string" },
+        "total_trade_volume": { "type": "string" },
+        "avg_collection_size": { "type": ["number", "null"] }
+      }
+    },
+    "quality_score_distribution": {
+      "type": ["object", "null"],
+      "properties": {
+        "below_300": { "type": "integer" },
+        "300_to_599": { "type": "integer" },
+        "600_to_799": { "type": "integer" },
+        "800_plus": { "type": "integer" }
+      }
+    },
+    "credit_type_breakdown": {
+      "type": ["object", "null"],
+      "description": "Count of scored batches by credit type."
+    }
+  }
+}
diff --git a/mechanisms/m011-marketplace-curation/schemas/m011_quality_score.schema.json b/mechanisms/m011-marketplace-curation/schemas/m011_quality_score.schema.json
new file mode 100644
index 0000000..cef980f
--- /dev/null
+++ b/mechanisms/m011-marketplace-curation/schemas/m011_quality_score.schema.json
@@ -0,0 +1,78 @@
+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "$id": "m011_quality_score_v0",
+  "title": "m011 credit batch quality score",
+  "description": "Schema for an M011 credit batch quality score output.",
+  "type": "object",
+  "required": ["score", "confidence", "factors"],
+  "properties": {
+    "score": {
+      "type": "integer",
+      "minimum": 0,
+      "maximum": 1000,
+      "description": "7-factor weighted composite quality score for a credit batch."
+    },
+    "confidence": {
+      "type": "integer",
+      "minimum": 0,
+      "maximum": 1000,
+      "description": "Data availability indicator (count of available signals / 7 × 1000)."
+    },
+    "factors": {
+      "type": "object",
+      "required": [
+        "project_reputation",
+        "class_reputation",
+        "vintage_freshness",
+        "verification_recency",
+        "seller_reputation",
+        "price_fairness",
+        "additionality_confidence"
+      ],
+      "properties": {
+        "project_reputation": {
+          "type": "integer",
+          "minimum": 0,
+          "maximum": 1000,
+          "description": "M010 reputation score for the project."
+        },
+        "class_reputation": {
+          "type": "integer",
+          "minimum": 0,
+          "maximum": 1000,
+          "description": "M010 reputation score for the credit class."
+        },
+        "vintage_freshness": {
+          "type": "integer",
+          "minimum": 0,
+          "maximum": 1000,
+          "description": "Linear decay from issuance (1000) to 10 years (0)."
+        },
+        "verification_recency": {
+          "type": "integer",
+          "minimum": 0,
+          "maximum": 1000,
+          "description": "Linear decay from last verification (1000) to 3 years (0)."
+        },
+        "seller_reputation": {
+          "type": "integer",
+          "minimum": 0,
+          "maximum": 1000,
+          "description": "M010 reputation score for the seller address."
+        },
+        "price_fairness": {
+          "type": "integer",
+          "minimum": 0,
+          "maximum": 1000,
+          "description": "1000 at class median price, 0 at ±50% deviation."
+        },
+        "additionality_confidence": {
+          "type": "integer",
+          "minimum": 0,
+          "maximum": 1000,
+          "description": "Methodology additionality assessment from credit class metadata."
+        }
+      }
+    }
+  }
+}
diff --git a/package.json b/package.json
index d174e09..bf7a676 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,7 @@
 {
   "name": "agentic-tokenomics",
   "private": true,
+  "type": "module",
   "version": "0.0.0",
   "scripts": {
     "verify": "node scripts/verify.mjs",