DocsAlot turns scattered help center articles, knowledge base, and developer docs into one source of truth for humans and AI agents. It includes hosted MCP, llms.txt, and skill.md. Your docs show up in AI answers, onboarding gets faster, and agents stop reading stale context.

PieterPost MCP connects AI agents to postal mail. From ChatGPT, Claude, Codex, Claude Code, or any MCP client, agents can prepare letters and postcards, use Mailbook contacts, upload attachments or postcard images, create checkout links, and track orders. It brings PieterPost online mail, API, and payment-link workflows into agent tools.

Context.dev is the web context API for AI products and agents. Scrape any URL, crawl sites, turn pages into LLM-ready Markdown, extract structured data into your own schema, capture screenshots, and retrieve logos, colors, fonts, styleguides, company data, and transaction enrichment through one API. YC-backed, no card required, and built so developers or coding agents can integrate in minutes.

Sequence is the financial execution layer for AI agents. Unlike read-only tools, your agent uses the Sequence API to send, split, and route real money across all your bank accounts, cards, apps, and loans. Scoped API keys mean agents never hold your credentials, server-side spending limits keep you in control, and full audit trails log every action. The infrastructure is battle-tested in production on regulated rails, moving north of $3B. One-call integration from Claude, n8n, Zapier etc.

Give /automate a task in plain English and it drives a real browser to do it: navigate a site, click through a multi-step flow, fill a form, reach a page that only renders after interaction. The result streams back in one API call. It's an API you call, not a framework you install. Browser and LLM included, nothing to host, no concurrency ceiling. Accessibility-tree automation spends 60 to 80% fewer tokens than screenshot-based agents. Built by Mozilla. Ephemeral, no training on your data.

Today's models are capable enough. Smart enough. Fast enough. But we still feel they don’t fit in the room. Humalike is building the behavioral infrastructure for humanlike AI agents. The social skills & proactiveness your agents have been missing. APIs, models, benchmarks.

Foresight by Lightning Rod is an OpenAI-compatible forecasting API for developers building agents, prediction-market bots, and decision tools. Ask a question about a future event and get a scored, calibrated forecast back. Unlike general-purpose LLMs, Foresight is trained and evaluated on real-world outcomes, with benchmark-verified accuracy, cheaper inference, and a drop-in API for forecasting workflows.

Get the JSON Schema for any URL. Paste a link and get a ready-to-use schema as JSON Schema, a Zod object, or a Pydantic model. Copy it straight into your extraction or validation code. Schema Source learns each site's URL patterns, so results come back fast and stay consistent across pages of the same shape. Every result is also an API: request the same URL with JSON content negotiation and get the cached schema back, no key required. Free, by the team behind Tabstack—backed by Mozilla.

Wirable tests whether AI agents can actually use your product. Paste a URL, run real agent workflows, and get a score out of 100 with clear evidence behind every pass or fail. If agents get stuck, Wirable hosts an MCP proxy in front of your product so they can complete the job without you shipping code.

Most AI teams pick a model first and discover the bill later. We built Oxlo.ai to change that. Access 35+ frontier AI models including DeepSeek V4 Pro, Kimi K2.6, GLM 5, Qwen, Llama, and Mistral through a single API. Compare models, calibrate responses, and choose the right model for each use case. Scale across AI models with predictable monthly subscriptions, benchmark-grade performance, generous usage limits, and we never train on your data.