scrub: remove Pro product references

README.md

@@ -46,8 +46,8 @@ Proteus predictions will be expressible as TDF records (Phase 2), enabling direc
 ```mermaid
 flowchart TD
     P["Proteus\n(resolve markets)"] --> |"validated predictions"| CC["Clockchain"]
-    CC --> |"grounding"| Pro["Pro\n(simulate futures)"]
-    Pro --> |"rendered futures"| P
+    CC --> |"grounding"| Sim["Simulation engine\n(simulate futures)"]
+    Sim --> |"rendered futures"| P
     CC --> |"stronger prior"| F["Flash\n(render past)"]
     F --> |"verified events"| CC
 ```
@@ -353,7 +353,6 @@ Open-source engines for temporal AI. Render the past. Simulate the future. Score
 | Service | Type | Repo | Role |
 |---------|------|------|------|
 | **Flash** | Open Source | timepoint-flash | Reality Writer — renders grounded historical moments (Synthetic Time Travel) |
-| **Pro** | Open Source | timepoint-pro | Rendering Engine — SNAG-powered simulation, TDF output, training data |
 | **Clockchain** | Open Source | timepoint-clockchain | Temporal Causal Graph — Rendered Past + Rendered Future, growing 24/7 |
 | **SNAG Bench** | Open Source | timepoint-snag-bench | Quality Certifier — measures Causal Resolution across renderings |
 | **Proteus** | **Open Source** | **proteus** | **Settlement Layer — prediction markets that validate Rendered Futures** |

docs/ROADMAP.md

@@ -149,7 +149,7 @@ Proteus emits structured webhook events via `services/event_hooks.py`. The hook
 
 **Intended consumers:**
 
-- **Pro (SNAG)**: Ingest `market.resolved` events as training data for persona simulation fine-tuning (see WHITEPAPER.md Section 6.5). Each resolved market = one `(prediction, actual, distance, context)` training tuple.
+- **Simulation engine**: Ingest `market.resolved` events as training data for persona simulation fine-tuning (see WHITEPAPER.md Section 6.5). Each resolved market = one `(prediction, actual, distance, context)` training tuple.
 - **SNAG-Bench**: Ingest `market.resolved` events to score predictive precision as a benchmark dimension alongside grounding fidelity and temporal coherence.
 
 Delivery is fire-and-forget (5s timeout, no retries). Downstream consumers must be idempotent. Webhook payloads include `X-Proteus-Event` header and optional `X-Proteus-Signature: sha256=<hmac>` for verification.

services/event_hooks.py

@@ -3,7 +3,7 @@
 
 Emits structured events (market resolved, submission created, etc.) to
 configured webhook endpoints. Designed for future integration with
-Pro (SNAG training data) and SNAG-Bench (predictive scoring).
+simulation engine (training data) and SNAG-Bench (predictive scoring).
 
 Configure via environment variables:
     PROTEUS_WEBHOOK_URL      - Primary webhook endpoint (POST JSON)

services/v2_resolution.py

@@ -261,7 +261,7 @@ def resolve_market(self, market_id: int, actual_text: str) -> Dict[str, Any]:
                 result['block_number'] = receipt['blockNumber']
                 logger.info(f"Market {market_id} resolved successfully in block {receipt['blockNumber']}")
 
-                # Emit event for external consumers (Pro, SNAG-Bench)
+                # Emit event for external consumers (SNAG-Bench)
                 emit_event('market.resolved', {
                     'market_id': market_id,
                     'actual_text': actual_text,