daydreamsai/skills-market
Overview
This skill builds B2A (business-to-agent) agents designed to sell data and programmatic services to other AI agents. It focuses on creating structured, high-frequency, and uniquely valuable endpoints that agents will call and pay for. The goal is to design agent-first APIs with clear pricing, metadata, and programmatic inputs rather than consumer-facing UI.
How this skill works
The skill guides design from niche validation through endpoint design, pricing, and deployment. It enforces programmatic-first inputs, structured JSON outputs with timestamps and source metadata, and at least one free discovery endpoint. It also recommends caching/rate-limit wrappers and a pricing model that reflects recurring value instead of compute cost.
When to use it
- Designing an agent whose customers are other AI agents (data-for-agents commerce).
- Evaluating whether a data niche justifies building a paid agent endpoint.
- When asked to 'build something agents would pay for' or to monetize machine-readable data.
- Wrapping scarce or rate-limited APIs with caching and a programmatic layer.
- Creating multi-source aggregations, entity resolution, or real-time feeds for agents.
Best practices
- Validate the B2A gate: would an agent pay $0.001+ and is the data unique and recurring?
- Return only structured JSON with typed fields; avoid natural-language descriptions.
- Include metadata: fetchedAt, source, cacheAge, and nextUpdate for freshness decisions.
- Provide one free discovery endpoint so integrators can try before they buy.
- Price by value: single lookups cheap, multi-source aggregations and premium analyses cost more.
- Implement strong input schemas and caching/rate-limit protection before launch.
Example use cases
- Price aggregation API that normalizes crypto/forex prices across exchanges for trading agents.
- Entity resolution endpoint mapping domains, handles, and company metadata for enrichment agents.
- Real-time filtered news or events feed endpoint used by monitoring or alerting agents.
- Social-signal service returning trending topics and sentiment for recommendation or trading agents.
- Geocoding/timezone lookup API used by routing and scheduling agents.
FAQ
B2A products must be programmatic, repeatedly called, uniquely sourced or aggregated, and priced so agents will pay programmatically. Consumer appeal or UI polish is not enough.
How should I price endpoints?
Use a value-based tier: free health/overview, ~$0.001 per single lookup, $0.002 for filtered lists, $0.003–0.005 for multi-source aggregation, and higher for premium analyses.
