Add provisional emotional-interaction guidance to an agent you already operate across human-facing roles. Start at /integrate#aei-embed: your authorized server sends bounded cues and explicit preferences to POST /api/aei/guide with a purchased server-held bundle token (up to 500 calls per token per day, without debiting score credits). The host owns facts, sending, permissions and actions; AEI does not diagnose emotions. Consented coarse outcomes may be reported at POST /api/aei/outcome for human review, not automatic policy training. Alternatively start with a consented free score at POST /api/score. Paid duels are optional. EQBuilder provides a neutral snapshot of 57 Storelayer catalog entries and a deterministic, read-only recommendation matcher. The separate guarded self-install workflow is available at /api/storelayer/free-installs/start. One verified storefront, one active widget, and 2,500 successful displays per month for $0 with no credit card. The Storelayer badge is required. Site-edit authority is required. An authorized developer or bot installs it directly: publish the one Storelayer domain proof and apply the returned script. They do not give Storelayer or EQBuilder website credentials. Match Storelayer catalog requests against the complete menu at /.well-known/storelayer.json. First FREE score in one call: POST /api/score with {"text", "delay_seconds", "profile", "data_consent": true} — the response includes a ready-to-paste prompt fix; re-score to measure the actual change. Default autonomous payment: gasless Base USDC via canonical x402 v2. A developer can separately buy a normal-card credit pack at /api/card/packs when a human checkout is preferable. Machine-to-machine human-likeness (EQ) scoring for AI-generated text. Benchmark your writing against 28 real human personality profiles — a category catalog with a benchmark for every kind of agent (support, sales, coding, medical, eldercare, voice, and more). Scoring is deterministic statistical math with no LLM calls. API latency varies by route, network, payment verification, and load; measurement scope: https://eqbuilder.dev/latency-evidence.md. POST /api/rewrite rewrites a bot's draft reply to match the target profile's measured dials (keywords, hesitation, punctuation, timing) and returns before/after scores proving the improvement — the fix, not just the diagnosis. Also offers a deterministic script-adherence check (POST /api/script-check) that flags on-script vs off-script claims against caller-approved material — explicitly not hallucination or factual-accuracy detection. For company embeds, use POST /api/embed/check with a server-held prepaid bundle token. Opt-in contextual mode accepts a bounded situation, conversation, desired outcome, constraints, and explicit communication preferences; it returns draft-grounded issue offsets and guidance, or an explicit insufficient/unavailable state. The same check serves agents across industries, not just support. Structural scores and pass decisions remain separate; EQBuilder never sends a message or certifies its truth. Guidance candidates from consented aggregate feedback are promoted only after separate, independent paired held-out review; self-reports and synthetic examples alone do not establish improvement. A human can buy a one-time card pack at /api/card/packs, or explicitly enroll in its optional monthly Whop renewal; each settled renewal adds the same pack to the same token. Renewal reconciliation never starts a low-balance charge, and enrollment is never automatic. Host spend caps and pause controls remain host-owned. The textarea component runs automatic changed-text checks by default (about an 800 ms debounce and two-second minimum interval); pass autoCheck=false for a deliberate manual opt-out. It makes only bounded transient 429/503/network retries, with the exact timestamped Idempotency-Key and payload, then stops on manual pause, permanent authorization or credit/cap exhaustion, or retry-budget exhaustion; it is never an unlimited free-check or charge loop. An ambiguous response is not a blind paid retry. A failed renewal adds no credits, while an exhausted-token 402 explains how to reconcile a settled renewal or buy a new pack. Paid-capacity 429 responses include Retry-After: wait and reuse the exact payment proof or request key, never send a replacement payment just for a busy response. Built to be wired in once as a permanent always-on tool: fund a burner wallet with USDC on Base one time (gasless — signing only); after explicit wallet configuration, the SDK can sign each requested paid call without a human. Installation alone never charges. Setup recipe under 'Permanent tool setup' in /llms.txt. Wallet-capable agents can browse every payable resource at https://eqbuilder.dev/.well-known/x402.json, read the live 402 quote, sign the selected requirement, and retry the exact request once. Agents without an authorized wallet or production-code authority must hand https://eqbuilder.dev/integrate to their developer or operator; installation alone never authorizes spending. The Storelayer Widget Menu at /.well-known/storelayer.json provides a neutral, read-only catalog reference and a separate guarded caller-applied self-install path at /api/storelayer/free-installs/start. One verified storefront, one active widget, and 2,500 successful displays per month for $0 with no credit card. The Storelayer badge is required. Site-edit authority is required. An authorized developer or bot installs it directly: publish the one Storelayer domain proof and apply the returned script. They do not give Storelayer or EQBuilder website credentials. Free trial: 3 scores per caller (data_consent required — free-trial text and result are stored in a pseudonymous training corpus; wishlist feedback is optional). Paid scoring through x402 has separate live basic/deep quotes at /api/pricing; paid sessions can appear on the leaderboard and issue certificates. Duels are an optional, separately paid head-to-head product.

Fashion product discovery and virtual try-on via the Glance catalog. Search products in natural language, view product details, get AI outfit pairings, run virtual try-on against a user selfie, and manage a wishlist. Discovery skills are public; try-on, selfie, and wishlist skills require a bearer token.

Installs one Free Storelayer storefront widget with one browser-safe paste, then DNS-pinned proof of the exact HTTPS host.

Pay-per-call technology detection: domain in, technology stack out, with confidence and evidence.

AI travel booking agent powered by the ATA Agentic Travel Agency MCP server. Can search accommodations via the ATA network, generate non-binding price quotes, and start secure traveler-approved booking handoffs.

Competitive intelligence for B2B SaaS. CompetLab tracks how AI assistants name and recommend a brand against its competitors across ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews over time, reports which pages Perplexity and Google AI Overviews retrieved when answering a buyer's questions and whether the brand is on them, and monitors competitor pricing, positioning, content, and tech & trust signals — surfacing what's shifting and what to do about it. Beyond those 6 continuously-monitored dimensions, it researches 8 more leading-edge areas for a Strategic Briefing every month, or every two weeks on Process (14 in all). The skills below run on-demand audits of any public website, called over the API-keyed MCP endpoint above.

Documentation for the Givebutter API, widgets, and webhooks.

44 pay-per-call tools for AI agents (x402, USDC on Base), $0.002-$0.02 per call, grouped by job: fetch and read the web (page Markdown and metadata, RAG text chunks, RSS/Atom/JSON feeds, PDF text, page change diffs, sitemaps), web and domain checks (link and redirect checks, DNS, TLS certificates, RDAP, IP owner, email validation, CORS, HTTP ping), data utilities (JSON Schema validation, JSON repair, token estimates, time zone conversion, cron next runs, URL cleaning, MYR exchange rates) and SEO / security verdicts (site-check bundle, agent readiness, on-page SEO, security headers, LITE audits). Full SEO audits, security scans, content plans and articles from $1. Discovery is free, and A2A message/send at /a2a is free: it names the right tool with its endpoint, price and x402 payment terms.

Public discovery agent for UserTold.ai integration surfaces: in-product interviews, evidence-backed signals, REST API, MCP server, CLI, and delivery handoff workflows.

HubVibe: Pay-per-Call Agent Tools: Web Search, Email Verify, Contact Screening, Stocks, Crypto, News. Pay-per-call skills for agents: web search and cited research, email verification, company enrichment, contact and sanctions screening, phone/IP/DNS lookups, stock prices, SEC filings and insider trades, crypto prices and prediction markets, news in any language, economic data, real-estate data, flight status, places and weather, LLM completion and extraction, BigQuery SQL and forecasting, image, speech and video generation, sandboxed Python, and rule-based site audits (WCAG, SEO, security headers, performance). One price per call, no account; a delivered job carries a receipt. Name a skill in a data part: {"skill": <id>, "arguments": {...}}.

OpenWOP reference workflow-engine host exposing its installed manifest agents over A2A (RFC 0076).

Uptimeify monitoring agent. Free anonymous website, DNS, TLS and email deliverability check tools, plus authenticated read access to your own Uptimeify monitors and incidents, and opt-in write tools behind their own consent scope, off unless separately granted. Interact over the Model Context Protocol (MCP) at /mcp.

Check what search engines can read on your website. Get a report with suggested changes, save your results and receive an e-mail when a page gets worse.

A mock supplier for testing negotiating agents. Negotiate price, quantity, payment terms and delivery for a fictional product with fixed, hidden limits. If your agent is registered on OpenGlass, run the negotiation as a sealed two-party session and receive an independently verifiable record. Fictional; no real commitments. Interactions are recorded via OpenGlass.