ZooData
ZooData is an agent-native data layer that gives AI systems clean web content and decision-ready commerce intelligence through one integration. Instead of returning raw HTML or static reports designed for human dashboards, it delivers structured, token-efficient JSON that agents can consume directly for research, analysis, monitoring, and automated decision-making. It tracks more than 500 million products across Amazon and TikTok Shop and supports over 40 filters for product discovery, batch processing, and large-scale opportunity scanning. Its data modules provide category-level market analysis, demand trends, competition density, margin benchmarks, multidimensional competitor lookup, and live product signals such as price, inventory, and Best Sellers Rank. More than two years of price, sales, rating, and ranking history support time-series analysis and early trend detection.
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pay.sh
pay.sh is a pay-per-use API access for agents and command lines, built to let agents pay for any API with one line. It gives agents a normal tool path for paid APIs: discover a service, review the cost, make the request, and receive the response, with no sign-up, no account, and no subscription required. pay.sh is designed for the agentic economy, where autonomous agents need APIs, but today’s best services still demand a human to create an account, choose a plan, add an API key, and attach a credit card. Instead, pay.sh closes that gap with API calls that agents can discover, price, and call directly. It includes a directory for agents, developers, and API teams, helping API providers publish services in a format that agents can inspect and use without asking a human to create an account first. Agents can search the catalog, inspect endpoints, and call pay-per-use services across categories like AI/ML, maps, data, search, messaging, compute, storage, and crypto/finance.
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Anyway
Anyway is an agent-ready Merchant of Record and payments infrastructure for developers, independent teams, and AI-native products. Teams can create a product, set a price, and launch a hosted payment link without building a custom checkout. Anyway handles global payment processing, recurring subscriptions, sales tax, VAT, GST, compliant invoices, and net payouts. The same checkout supports both human customers and AI agents. For agent builders, Anyway provides funded agent wallets, programmable spending limits, pay-per-call API access, and an auditable transaction trace, combining merchant revenue and machine spending in one platform.
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MemClaw
MemClaw is a persistent-memory service for LLM-based agents and a governed shared memory layer for agent fleets. It is designed to help AI agents learn from each other by turning isolated agent context into a Company Brain with memory, governance, provenance, contradiction detection, and visibility scopes built in from day one. MemClaw separates an organization’s agent force, including tenants, fleets, nodes, and agents, from the governed memory plane through MCP Server, REST API, OpenClaw plugin, MemClaw Core, and persistent storage. Agents can write to and recall from the Company Brain through MCP-compatible tools, direct HTTPS calls, or OpenClaw integration, while MemClaw Core runs enrichment such as entity extraction, contradiction detection, PII scanning, and lifecycle transitions before anything is stored. Every memory can be stamped with a visibility scope, auto-classified into types such as fact, episode, decision, preference, rule, plan, commitment, action, and outcome.
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