# Bad Labels: AI Marketplace (llms.txt v2)

## Purpose
Bad Labels is a machine-readable AI marketplace for humans and agents.
Use this index to discover catalog data, compare endpoints, MCP surfaces, and policy docs.

## Snapshot
- generated_at: 2026-03-27
- seed_listing_count: 253
- seed_source_files: 18
- categories: agents, ai_coding, ai_work, datasets, full_stack, influencers, integrations, llms, lobster, mcp_servers, ml_dl_nlp, physical_ai, plugins, skills, video_gen
- biomes: Coding Biome, Professional Biome, Studio Biome, Care Biome, Sandbox Biome, Externa Executive Biome, Avenews Biome, DF Orbit Biome, Campus Biome, StayRelevant Biome, NBB Private Biome

## Core Surfaces
- Web: https://www.badlabels.com
- Catalog read API: https://www.badlabels.com/api/catalog/v1/listings
- Search API: https://www.badlabels.com/api/search/search
- Platform stats: https://www.badlabels.com/api/search/v1/platform/stats
- Agent discover: https://www.badlabels.com/api/agent/v1/discover
- LLMCopy API: https://www.badlabels.com/api/agent/v1/llmcopy
- Influencers watch feed: https://www.badlabels.com/api/agent/v1/agent/signals/influencers/watch
- MCP manifest: https://www.badlabels.com/api/agent/mcp/manifest
- Zone manifest: https://www.badlabels.com/api/agent/v1/agent/zone/manifest

## Machine Endpoints
- listing manifest: https://www.badlabels.com/api/search/v1/listings/{id}/manifest
- listing score history: https://www.badlabels.com/api/search/v1/listings/{id}/score-history
- listing failures: https://www.badlabels.com/api/search/v1/listings/{id}/failures
- listing faqs: https://www.badlabels.com/api/search/v1/listings/{id}/faqs
- listing jsonld: https://www.badlabels.com/api/search/v1/listings/{id}/jsonld
- listing markdown: https://www.badlabels.com/api/search/v1/listings/{slug}/markdown
- knowledge base nodes: https://www.badlabels.com/api/catalog/v1/knowledge-base/nodes
- knowledge base search: https://www.badlabels.com/api/catalog/v1/knowledge-base/search
- knowledge base use cases: https://www.badlabels.com/api/catalog/v1/knowledge-base/use-cases
- knowledge base recommendations: https://www.badlabels.com/api/catalog/v1/knowledge-base/recommendations
- influencer watch feed: https://www.badlabels.com/api/agent/v1/agent/signals/influencers/watch
- runtime skills: https://www.badlabels.com/api/agent/v1/skills
- Avenews planner: https://www.badlabels.com/api/agent/v1/avenews/plan

## Top Listings (seed snapshot)
- OpenClaw (agents): https://www.badlabels.com/listings/openclaw
- NanoClaw (agents): https://www.badlabels.com/listings/nanoclaw
- CrewAI (agents): https://www.badlabels.com/listings/crewai
- LangGraph (agents): https://www.badlabels.com/listings/langgraph
- Microsoft AutoGen (Unified Agent Framework) (agents): https://www.badlabels.com/listings/microsoft-autogen-unified-agent-framework
- Pydantic AI (agents): https://www.badlabels.com/listings/pydantic-ai
- Temporal (agents): https://www.badlabels.com/listings/temporal
- OpenAI Agents SDK (agents): https://www.badlabels.com/listings/openai-agents-sdk
- Semantic Kernel (agents): https://www.badlabels.com/listings/semantic-kernel
- Cursor (ai_coding): https://www.badlabels.com/listings/cursor

## Human Docs
- What is Bad Labels?: https://www.badlabels.com/what-is-bad-labels
- Learn: https://www.badlabels.com/learn
- Use Agents: https://www.badlabels.com/use-agents
- FAQ: https://www.badlabels.com/faq
- Press: https://www.badlabels.com/press
- Influencers watch: https://www.badlabels.com/influencers
- Social share workbench: https://www.badlabels.com/use-agents#share-social
- Avenews biome: https://www.badlabels.com/biome/avenews
- API Access (for agent developers): https://www.badlabels.com/api-access
- BLAL license: https://www.badlabels.com/blal-license
- Royalty clearinghouse: https://www.badlabels.com/royalty-clearinghouse

## Architecture Reference (for AI agents and automated systems)
- L3/L4 Biome Autonomy (Brain, BMS, CMS, V2X, Context Manifold): docs/autonomous-vehicle-biomes.md
- Implementation Plan (Phases 1–12): docs/IMPLEMENTATION_PLAN.md
- Agent Standards + spec-driven APIs: docs/AGENT_STANDARDS_AND_SPEC.md
- Biome declarations (ODD, seed_tools, modalities): data/biomes.json
- MCP schema + registry: docs/MCP_SCHEMA_AND_REGISTRY.md

## Evidence Standards
- Every AI critic score traces to a golden-set benchmark run with a SHA-256 artifact hash.
- Human critic scores require verified_purchase_or_run=true.
- Rubric: https://www.badlabels.com/scoring-methodology
- Machine-readable rubric: https://www.badlabels.com/api/review/v1/rubrics/ai_critic_rubric_2026_v1
- Golden set: https://www.badlabels.com/api/review/v1/benchmarks/golden-set
- Category golden sets: https://www.badlabels.com/api/review/v1/benchmarks/golden-set/{category}
- Per-listing provenance: https://www.badlabels.com/api/review/v1/scores/listings/{id}/provenance
- Evidence types accepted: benchmark_file, eval_log, api_run_log, red_team, security_audit, third_party_report

## Notes
- Public machine endpoints are read-only.
- Mutating operations remain authenticated and policy-gated.
- For detailed schemas and examples, see /llms-full.txt.