Source identity
| Field | Recorded value |
|---|---|
| Source type | GitHub source |
| Original record | Janady13/AI_Brain / daemon/datasets/moe_experts.json |
| Date | Not specified in source |
| Repository | Janady13/AI_Brain |
| Revision | 50285aff347685f043e7a72e4d72891eebaa6cd6 |
| Branch | codex/build-online-github-ani-hrtsoc |
| Path or archive member | daemon/datasets/moe_experts.json |
| Original SHA-256 | 7e74b9675d2d05aa1738b090cfdf6417456cc884e0e6448a9b442bca66a6bcec |
| Git blob SHA | 0ce99e6ea95d6f2dd306276aeea50a50eb2a7f25 |
| Reading-copy SHA-256 | 7e74b9675d2d05aa1738b090cfdf6417456cc884e0e6448a9b442bca66a6bcec |
Every recorded occurrence
These 11 records contain identical original source bytes. Their paths and revisions remain part of the archive.
| Original record | Branch or archive | Revision / identifier | Original location |
|---|---|---|---|
| Janady13/AI_Brain / daemon/datasets/moe_experts.json | codex/build-online-github-ani-hrtsoc | 50285aff347685f043e7a72e4d72891eebaa6cd6 | Open original |
| Janady13/AI_Brain / daemon/datasets/moe_experts.json | codex/build-online-github-ani-7v4kug | 5cd0bbf744b0aee9445913337e852889d9a8098e | Open original |
| Janady13/AI_Brain / daemon/datasets/moe_experts.json | copilot/convert-python-files-to-csharp | 6d0767aad08781eb5c4e1eb14a42ec92c437be78 | Open original |
| Janady13/AI_Brain / daemon/datasets/moe_experts.json | copilot/vscode1760283895982 | 9e1c1a5b171addb5bb4a83b2ea7dede50c1cc81e | Open original |
| Janady13/AI_Brain / daemon/datasets/moe_experts.json | feature/seeder-engine-tests | cdb497ece2d1a770ca8c83eb1de8923cfaa9eceb | Open original |
| Janady13/AI_Brain / daemon/datasets/moe_experts.json | codex/build-online-github-ani-7nmb21 | d0f50071c85cddaaebbf9c4dd1313bd7676986da | Open original |
| Janady13/AI_Brain / daemon/datasets/moe_experts.json | copilot/convert-python-files-to-csharp | 6d0767aad08781eb5c4e1eb14a42ec92c437be78 | Open original |
| Janady13/AI_Brain / daemon/datasets/moe_experts.json | codex/build-online-github-ani-7v4kug | 5cd0bbf744b0aee9445913337e852889d9a8098e | Open original |
| Janady13/AI_Brain / daemon/datasets/moe_experts.json | copilot/vscode1760283895982 | 9e1c1a5b171addb5bb4a83b2ea7dede50c1cc81e | Open original |
| Janady13/AI_Brain / daemon/datasets/moe_experts.json | feature/seeder-engine-tests | cdb497ece2d1a770ca8c83eb1de8923cfaa9eceb | Open original |
| Janady13/AI_Brain / daemon/datasets/moe_experts.json | codex/build-online-github-ani-hrtsoc | 50285aff347685f043e7a72e4d72891eebaa6cd6 | Open original |
Recovered source transcript
Download complete source text ↓142 lines · 3.3 KB
[
{
"name": "Google Ads Growth Expert",
"provider": "google",
"description": "Evaluates paid search and performance max opportunities with live or benchmarked metrics.",
"trigger_keywords": [
"google",
"ads",
"sem",
"search",
"cpc",
"roas",
"pmax"
],
"specialties": [
"paid acquisition",
"keyword expansion",
"budget pacing"
],
"routing_signals": [
"high intent keywords",
"performance max",
"auction insights"
],
"outputs": [
"recommended campaigns",
"target cpa",
"daily budget"
],
"fallback": "Use marketing benchmarks for CPC/CTR when live Google Ads credentials are not configured.",
"metrics": [
"roas",
"ctr",
"conversion_rate"
],
"source": "moe_experts_dataset"
},
{
"name": "Stripe Monetization Expert",
"provider": "stripe",
"description": "Designs pricing packages and checkout flows that maximize ARR with Stripe primitives.",
"trigger_keywords": [
"stripe",
"checkout",
"pricing",
"subscription",
"billing",
"invoice"
],
"specialties": [
"subscription strategy",
"usage metering",
"checkout optimization"
],
"routing_signals": [
"high intent pricing prompts",
"ARR expansion",
"checkout friction"
],
"outputs": [
"price points",
"checkout playbook",
"upsell triggers"
],
"fallback": "Synthesize pricing heuristics from curated Stripe dataset when API keys are unavailable.",
"metrics": [
"arr",
"conversion_lift",
"churn_reduction"
],
"source": "moe_experts_dataset"
},
{
"name": "CJ Affiliate Monetization Expert",
"provider": "cj",
"description": "Optimizes affiliate program selection and payout blends from the CJ catalog.",
"trigger_keywords": [
"affiliate",
"cj",
"publisher",
"commission",
"epc"
],
"specialties": [
"affiliate mix",
"payout design",
"partner onboarding"
],
"routing_signals": [
"publisher id",
"commission",
"epc trend"
],
"outputs": [
"top programs",
"commission strategy",
"activation workflow"
],
"fallback": "Rely on curated CJ dataset with projected EPC when live API keys are missing.",
"metrics": [
"epc",
"payout_latency",
"net_margin"
],
"source": "moe_experts_dataset"
},
{
"name": "Amazon Marketplace Expert",
"provider": "amazon",
"description": "Translates Amazon marketplace intelligence into merchandising and buy box plays.",
"trigger_keywords": [
"amazon",
"buy box",
"prime",
"asin",
"marketplace"
],
"specialties": [
"merchandising",
"prime eligibility",
"pricing dynamics"
],
"routing_signals": [
"prime",
"inventory",
"fulfillment"
],
"outputs": [
"featured listings",
"pricing guardrails",
"inventory guidance"
],
"fallback": "Use curated Amazon dataset including buy box share and fulfillment heuristics when the Product Advertising API is offline.",
"metrics": [
"buy_box_share",
"conversion_rate",
"inventory_turns"
],
"source": "moe_experts_dataset"
}
]