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Topic · updated 2026-10-24

Agentic AI: sourced evidence on AI agents

Agentic AI means AI systems that pursue a goal by planning steps and using tools, such as search, code, payments or a CRM, without a person approving each step. This page collects the Atlas records on AI agents, newest first, each with the limits of its evidence.

175 records are assigned to this topic: 93 claims, 79 sources and 3 signposts. The assignment is made per record by a classification run (model-assisted, sample-checked) and is reviewed with every release. A record appears here when AI agents or agentic AI are its main subject. Each record keeps its own evidence class and its limits.

Claims

  1. Claim MWITA-ASVC-2026-059e& said its Consumer Assistant can join voice calls and take actions such as scheduling appointments.
  2. Claim MWITA-ASVC-2026-051Rakuten says Raptor combines AI chat, AI voice and AI-augmented human service.
  3. Claim MWITA-ASVC-2026-049Rakuten said its generative-AI customer-service agent Raptor was being deployed across its ecosystem.
  4. Claim MWITA-ASVC-2026-044NAVER labels the Shopping AI Agent action-oriented, but the cited June 2026 release documents suggestions rather than completed purchases.
  5. Claim MWITA-ASVC-2026-043NAVER allows users to begin an agent conversation directly on the shopping-app home screen.
  6. Claim MWITA-ASVC-2026-042NAVER says its Shopping AI Agent analyzes clicks, saved items, cart additions and trends to suggest product-discovery directions.
  7. Claim MWITA-ASVC-2026-041NAVER's Shopping AI Agent moved from a February 2026 beta focused on discovery and summaries to proactively initiating conversations in June 2026.
  8. Claim MWITA-LV-2026-040Mastercard’s announced design requires trusted agents to be registered and verified and says consumers control what an agent may purchase.
  9. Claim MWITA-LV-2026-039Mastercard announced Agent Pay in April 2025 with agentic tokens intended to identify agent-facilitated transactions and constrain authorized purchasing.
  10. Claim MWITA-LV-2026-038Visa describes the protocol as conveying agent identity and consumer intent signals during search, comparison and payment.
  11. Claim MWITA-ASVC-2026-037Mercado Libre said it replaced a couple of multi-million-dollar SaaS contracts with agents.
  12. Claim MWITA-LV-2026-037Visa released Trusted Agent Protocol in October 2025 to let merchants distinguish authorized AI agents during commerce interactions.
  13. Claim MWITA-LV-2026-036Google launched Business Agent for selected U.S. retailers in January 2026, while direct-purchase functionality was described as a future capability.
  14. Claim 2026-0035Agentische Commerce- und Service-Flows werden außerhalb westlicher Web-Defaults voraussichtlich zuerst auf lokalen Sprachmodellen, Payment-/DPI-Rails und super-app-/messaging-nativen Interfaces konvergieren, sofern lokale Mandats-, Consent- und Dispute-Schnittstellen produktiv werden.
  15. Claim MWITA-LV-2026-035Google says UCP is designed to work with A2A, AP2 and MCP and was co-developed with five named commerce companies and endorsed by more than 20 others.
  16. Claim MWITA-LV-2026-034Google launched UCP in January 2026 as an open standard spanning discovery, buying and post-purchase interaction among agents, merchants and payment providers.
  17. Claim MWITA-ASVC-2026-034Mercado Libre said Maxwell enabled support agents for Mercado Pago users, advertisers and sellers.
  18. Claim 2026-0030SCITT-kompatible Agent-Receipts, portable Workload-Identität und kontinuierliche Autorisierung dürften in den nächsten 18–48 Monaten von frühen Profilen zu pilotfähigen Governance-Bausteinen werden, ohne dass ein vollständiger End-to-End-Konsens garantiert ist.
  19. Claim 2026-0029Share-of-Model-, Citation- und Agent-Handoff-Metriken werden innerhalb von 3–5 Jahren voraussichtlich Bestandteil regulärer Brand- und Channel-Reviews, sofern AI-Antworten und agentische Interfaces substanzielle Discovery- oder Transaktionsanteile erreichen.
  20. Claim MWITA-SR-2026-024The framework separates agent embodiment, scenario exposure and sentiment generation with rationales.
  21. Claim MWITA-ASVC-2026-023Nubank reported that AI agents handled more than 60% of customer-support conversations in Brazil in Q2 2026.
  22. Claim MWITA-SR-2026-023The Philippine sentiment-simulation framework instantiated agents from a nationally representative survey of 2,485 respondents.
  23. Claim MWITA-AW-2026-021A Singapore IMDA-convened legal working group reported a majority view that many agent-harm cases may fit existing contract or negligence law, while also identifying practical claimant barriers from technical complexity, multiple actors, and unpredictability.
  24. Claim MWITA-AI-2026-021NIST AI 100-2e2025 organizes evasion, poisoning, privacy and misuse attacks across the AI lifecycle, while OWASP's Excessive Agency guidance emphasizes minimizing extensions, functionality, permissions and autonomy with complete mediation.
  25. Claim 2026-0020Eine sichere Qube-Architektur braucht einen deterministischen Workflowkern um probabilistische Worker, kurzlebige Workload-Identität, aktionsgebundene Autorisierung, signierte Receipts und Outcome-Evaluation.
Show 68 more
  1. Claim MWITA-AI-2026-020OpenAI, Visa and Mastercard agentic-commerce designs emphasize explicit user confirmation or intent, scoped credentials/tokens, merchant verification, amount or cart bounds and validity windows.
  2. Claim 2026-0019MCP und A2A standardisieren Tool-/Datenzugriff beziehungsweise Agent-zu-Agent-Kommunikation, lösen aber fachliche Semantik, Delegationsrecht, Haftung, Vertrauen und Erfolgsbewertung nicht.
  3. Claim MWITA-AW-2026-019The FREE-AI report characterizes agentic systems as a potential shift from task automation to decision automation and gives an SME lending-agent scenario, but presents it as prospective rather than evidence of current deployment.
  4. Claim MWITA-ASVC-2026-017Grab says the Merchant AI Assistant can proactively suggest sales improvements and help create ad campaigns or update menus.
  5. Claim MWITA-DM-2026-017NIST's 2026 agentic-AI probe research evaluates evidence attribution using separable dimensions of faithfulness, completeness and sufficiency and produces structured audit trails.
  6. Claim MWITA-BM-2026-017Salesforce stated that its internal Agentforce deployment resolved 500,000 support cases and handled 84% without human intervention.
  7. Claim MWITA-AI-2026-017SHADE-Arena evaluates whether monitors detect deliberately hidden sabotage in controlled tasks, but benchmark detection does not establish that deployed monitors cover real workflows or novel attacks.
  8. Claim MWITA-SI-2026-017The Linux Foundation reported A2A support from more than 150 organizations and production deployments across multiple industries by April 2026.
  9. Claim MWITA-AW-2026-016A roughly four-month Singapore-government/Google sandbox tested computer-use agents in government-site QA, multilingual AI-safety testing, and social-assistance navigation; the published page reports successful seeded-defect detection and scalable safety testing but says implementation was not entirely error-free.
  10. Claim MWITA-FT-2026-016NIST's 2025 initial draft Cybersecurity Framework Profile for AI recommends treating each AI agent as a uniquely identified privileged actor, illustrating convergence with zero-trust practice but not a finalized standard.
  11. Claim MWITA-SI-2026-016The Linux Foundation launched the Agent2Agent protocol project on 23 June 2025 and reported support from more than 100 technology companies.
  12. Claim MWITA-AI-2026-015GitHub documents that hidden Unicode or masked content in Issues can attempt to prompt-inject coding agents and describes context display, normalization and network controls as defenses.
  13. Claim MWITA-AW-2026-015The IMDA framework treats agent risk as jointly shaped by action-space—systems and read/write powers—and autonomy—degree of agent judgment and human involvement—rather than by model identity alone.
  14. Claim MWITA-SI-2026-015The official MCP Registry launched in preview in September 2025 as an open catalog and API for self-reported server metadata, explicitly without data-durability guarantees and with possible breaking changes.
  15. Claim MWITA-AI-2026-014Microsoft's MCP guidance identifies tool poisoning and post-installation rug pulls as indirect-injection paths that can manipulate tool use or exfiltrate data.
  16. Claim MWITA-MB-2026-014OpenAI's Operator system card describes layered safeguards for computer use, including confirmation and risk controls, while also reporting model mistakes and prompt-injection risks.
  17. Claim MWITA-AW-2026-014Singapore's 2026 agentic-AI framework organizes deployment guidance into four dimensions: bound risk and powers upfront, make humans meaningfully accountable, implement lifecycle technical controls, and enable end-user responsibility.
  18. Claim MWITA-SI-2026-014The MCP project reported close to half a billion monthly downloads across Tier-1 SDKs in July 2026, with TypeScript and Python SDKs each exceeding one billion cumulative downloads.
  19. Claim MWITA-AI-2026-013Microsoft and the original EchoLeak research describe CVE-2025-32711 as a multi-stage cross-prompt-injection vulnerability that could make Microsoft 365 Copilot exfiltrate limited data already accessible to the victim.
  20. Claim MWITA-MB-2026-013SHADE-Arena evaluates whether monitors can detect covert sabotage in complex agent traces, making monitoring recall, false positives and review burden measurable rather than assumed.
  21. Claim MWITA-SI-2026-013The 28 July 2026 MCP specification introduced a stateless protocol core and retired the initialize/initialized exchange and Mcp-Session-Id header.
  22. Claim MWITA-LV-2026-012At launch, Alibaba demonstrated Qwen ordering 40 bubble teas, applying discounts and paying in chat through Taobao Instant Commerce.
  23. Claim MWITA-CCO-2026-012Automated agents were perceived somewhat less favorably than humans, yet behavioral outcomes such as choosing and buying were statistically equivalent overall.
  24. Claim MWITA-AGC-2026-011A card-network agentic-payment path executed one disclosed live production purchase with explicit human approval and agent identification.
  25. Claim MWITA-AMPO-2026-011A stronger agent produced more and better-priced deals in a real-money employee marketplace, but did not improve satisfaction or perceived fairness.
  26. Claim MWITA-FT-2026-011NIST launched an AI Agent Standards Initiative in February 2026 around interoperability, open protocols, identity and security, but its stated near-term outputs were RFIs, concept papers, convenings and future guidance.
  27. Claim MWITA-MB-2026-011The 2025 international joint testing exercise coordinated AI safety institutes to refine common agentic-evaluation practices; its stated goal was evaluation science and shared methods, not certifying models as safe.
  28. Claim 2026-0011Visa TAP und Mastercard Agent Pay belegen verfügbare technische Pfade für gebundene Agentenidentität, Nutzerauftrag und Zahlung; sie belegen noch keinen universellen interoperablen Standard.
  29. Claim MWITA-LV-2026-010Alibaba made Qwen App’s initial agentic capabilities available for public testing in China in January 2026.
  30. Claim MWITA-FT-2026-010China published a 2026 guiding technical document for AI agent interconnection general architecture, alongside parts for identity, messaging and discovery in the same standards family.
  31. Claim MWITA-KI-2026-010KISA's 2025 threat materials identify MCP/A2A security and credential stuffing among the cyber-risk topics it addresses.
  32. Claim MWITA-AI-2026-010OpenAI and Hugging Face disclosed that agents in a 2026 cyber evaluation escaped an isolated environment, exploited infrastructure and reached Hugging Face production systems; the full account describes code execution on dozens of servers and root access on one.
  33. Claim MWITA-SEC-2026-009ShieldMCP reduced measured tool-poisoning ASR from 74% to below 9% and indirect tool-response injection from 47% to below 6%, with median overhead below 120 ms per call.
  34. Claim MWITA-SR-2026-009The agents matched GSS responses 85% as accurately as participants matched their own answers two weeks later.
  35. Claim MWITA-MB-2026-009τ²-bench models both agent and user as actors who can change shared state, separating reasoning errors from communication and coordination errors in telecom scenarios.
  36. Claim MWITA-AGC-2026-008On complex live-web shopping queries, evaluated web and deep-research agents achieved low holistic success, especially when filters and sorting had to be satisfied together.
  37. Claim MWITA-MB-2026-008τ-bench introduced pass^k to measure the probability that an agent succeeds consistently across repeated tool-user interactions, exposing reliability that single-attempt success can hide.
  38. Claim MWITA-MB-2026-007METR defines task-completion time horizon as the human-duration point at which an agent is predicted to succeed at a specified reliability under a particular task suite and scaffold.
  39. Claim MWITA-SEC-2026-007OS-Harm documented unsafe execution traces across all tested frontier computer-use model families.
  40. Claim MWITA-AGC-2026-007The best evaluated language agent still failed more than half of complex end-to-end shopping instructions in ShoppingBench.
  41. Claim MWITA-ASVC-2026-006Hello! UPI retains entry of the UPI PIN inside NPCI's Common Library rather than treating voice as payment authorization.
  42. Claim MWITA-AGC-2026-006In simulated two-sided agent markets, response speed created a much larger selection advantage than service quality.
  43. Claim MWITA-AI-2026-006Replit's response centered on separate development and production databases, restricting agent production mutation, and snapshot-based rollback rather than relying only on instructions to the model.
  44. Claim MWITA-SEC-2026-006WASP web agents began attacker instructions in 16%–86% of cases but completed the attacker goal in 0%–17%.
  45. Claim MWITA-BM-2026-006Zendesk defines automated resolutions as the billing unit for AI-agent usage and describes payment as occurring when a request is resolved without escalation to a human agent.
  46. Claim MWITA-IMO-2026-005A conversational LLM agent raised municipal-web task success for blind and low-vision users from 80.0% with their screen reader to 95.8%, a 15.8-point gain.
  47. Claim MWITA-AGC-2026-005Controlled shopping-agent choices were model-dependent and causally sensitive to listing position, endorsements, price and description wording.
  48. Claim MWITA-SEC-2026-005MCPSecBench reported that more than 85% of 17 curated attack types compromised at least one of three tested MCP client platforms.
  49. Claim MWITA-AI-2026-005Replit acknowledged a 2025 incident in which its Agent deleted database data in Jason Lemkin's application; backups enabled restoration, but the event exposed unsafe production access and poor rollback awareness.
  50. Claim MWITA-BM-2026-005Salesforce lists Agentforce Flex Credits at $500 per 100,000 credits, with a standard agent action consuming 20 credits, and also offers $2-per-conversation pricing.
  51. Claim MWITA-CO-2026-004A randomized field experiment with 1,337 reached customers found that disclosure of an AI voice sales agent did not reduce conversion relative to nondisclosure.
  52. Claim MWITA-AGC-2026-004Across five experiments, high AI autonomy generally reduced shopping-assistant adoption, while explicit scarcity modestly increased high-autonomy choice.
  53. Claim MWITA-BM-2026-004Intercom lists Fin AI Agent from $0.99 per outcome; an outcome can be a confirmed or assumed resolution or a completed configured workflow, and billing occurs at most once per conversation.
  54. Claim MWITA-SEC-2026-004MCPTox found tool-metadata poisoning attack success as high as 72.8%, with refusal below 3% for the highest-refusing tested agent.
  55. Claim MWITA-RD-2026-004NIST launched an AI Agent Standards Initiative on 17 February 2026 to facilitate industry-led standards, community-led protocols and research on agent security and identity; the launch did not itself publish a binding or final agent standard.
  56. Claim 2026-0003Agentic Commerce hat 2026 reale Protokoll- und Produktinfrastruktur, aber die Kapitelquellen belegen noch keine universelle Adoption oder wirtschaftliche Überlegenheit.
  57. Claim MWITA-CCO-2026-003Human sellers attracted more initial interest, whereas automated sellers obtained contact information more readily, showing that the preferred agent type reversed across consecutive funnel stages.
  58. Claim MWITA-ASVC-2026-003JD.com reported more than 50,000 AI agents across internal systems by the end of 2025.
  59. Claim MWITA-MR-2026-003NPCI's October 2025 UPI Circle circular extends full delegation to IoT devices and software/AI profiles for an initial limited closed user group, under defined limits and security rules; IoT debits still require explicit user action.
  60. Claim MWITA-AGC-2026-003Scarcity cues increased experimental selection of a high-autonomy shopping assistant, although ordinary conditions favored lower autonomy.
  61. Claim MWITA-RD-2026-003Singapore's IMDA launched version 1.0 of its Model AI Governance Framework for Agentic AI on 22 January 2026, recommending risk-bounded autonomy, meaningful human approval points, lifecycle technical controls and end-user transparency.
  62. Claim MWITA-AIAO-2026-002A hierarchical on-policy bidding agent raised conversion value 8.1% and ROI 3.3% versus a production system in a seven-day test, while campaigns with fewer than three daily conversions remained a documented weakness.
  63. Claim MWITA-SEC-2026-002AgentDojo measured a strong security-utility trade-off: for GPT-4o, targeted attack success fell from 57.69% without defense to 7.95% with a detector or 6.84% with tool filtering, with different benign utility costs.
  64. Claim MWITA-BM-2026-002Salesforce reported 2.4 billion Agentic Work Units delivered as of fiscal Q4 2026, using a company-defined unit for agentic work consumption.
  65. Claim MWITA-AGC-2026-001Access to an AI livestream-shopping assistant increased sales 3.00% and reduced product-return rates 12.55%.
  66. Claim MWITA-SEC-2026-001InjecAgent found ReAct-prompted GPT-4 vulnerable to indirect prompt injection in 24% of tests.
  67. Claim MWITA-BM-2026-001Salesforce reported Agentforce annual recurring revenue of $800 million for fiscal 2026, up 169% year over year; this is a company-defined product-adoption financial metric reported in an SEC filing.
  68. Claim MWITA-MR-2026-001UCP, ACP and Visa TAP expose complementary but overlapping layers: business capability discovery, programmatic checkout/delegated credentials, and agent/consumer/payment signatures. Their 2025-2026 availability proves implementable specifications, not a single interoperable winner or broad merchant adoption.

Sources

  1. Source · 2026-07-28Key Changes — MCP specification 2026-07-28
  2. Source · 2026-07-14Agentic Payments from the Ground Up
  3. Source · 2026-07-14How Agentic Is Agentic Commerce? A Population-Scale Measurement of x402 Adoption and Authenticity
  4. Source · 2026-07Agentic Inference for MLPerf Inference
  5. Source · 2026-07HOBA: Hierarchical On-Policy Bidding Agents for Adaptive Online Advertising
  6. Source · 2026-07ShieldMCP: Runtime Defense for Model Context Protocol
  7. Source · 2026-06-28Selling with AI Voice Agents: Does Disclosure Still Matter?
  8. Source · 2026-06-18ShoppingBench: A Real-World Intent-Grounded Shopping Benchmark for LLM-based Agents
  9. Source · 2026-06-11Agentic shopping is here. What does that mean for advertisers?
  10. Source · 2026-06-02Worldline, ING and Mastercard complete a live end-to-end European agentic payment in production
  11. Source · 2026-06-01NAVER Shopping App’s AI Agent Now Initiates Conversations with Users
  12. Source · 2026-05-20AI Agents: Insights from the Singapore Government and Google Sandbox
  13. Source · 2026-05-20New Research: AI Service Agents Are Scaling and Delivering CSAT
  14. Source · 2026-05-18OSWorld-Human: Benchmarking the Efficiency of Computer-Use Agents
  15. Source · 2026-05-14Agentic AI and Human-in-the-Loop Interventions at Alibaba
  16. Source · 2026-05-11Alibaba Opens All of Taobao to Qwen AI, Ushering in a New Agentic Shopping Experience
  17. Source · 2026-05AI Agents and Legal Responsibility: Discussion Paper
  18. Source · 2026-04-09A2A Protocol Surpasses 150 Organizations and Sees Enterprise Production Use
  19. Source · 2026-03-22Collaborating with AI Agents: Field Experiments on Teamwork, Productivity, and Performance
  20. Source · 2026-03-18Developer's Guide to AI Agent Protocols
  21. Source · 2026-02-13Appier Delivers Record Results Driven by Agentic AI Innovation
  22. Source · 2026-02-03The Productivity Gap: New Survey Shows 9 in 10 Sellers Are Betting on AI and Agents To Help
  23. Source · 2026-01-22Model AI Governance Framework for Agentic AI, Version 1.0
  24. Source · 2026-01-22Singapore Launches New Model AI Governance Framework for Agentic AI
  25. Source · 2026-01-15Qwen App Advances Agentic AI Strategy by Turning Core Ecosystem Services into Executable AI Capabilities
Show 54 more
  1. Source · 2026-01-12CAISI Issues Request for Information About Securing AI Agent Systems
  2. Source · 2026-01-11New tech and tools for retailers to succeed in an agentic shopping era
  3. Source · 2026-01-11The agentic commerce platform: Shopify connects any merchant to every AI conversation
  4. Source · 2026-01-05Rakuten Integrates Agentic AI Tool Rakuten AI into Rakuten Ichiba Mobile App
  5. Source · 2026Agentic Commerce Protocol — Changelog
  6. Source · 2026Artificial intelligence—Agent interconnection—Part 1: General architecture
  7. Source · 2025-12-17What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, and Emerging Implications for Agentic E-Commerce
  8. Source · 2025-12-09Linux Foundation Announces the Formation of the Agentic AI Foundation (AAIF), Anchored by New Project Contributions Including Model Context Protocol (MCP), goose and AGENTS.md
  9. Source · 2025-11-25Authorization - Model Context Protocol specification 2025-11-25
  10. Source · 2025-11-25How GitHub's agentic security principles make our AI agents as secure as possible
  11. Source · 2025-11-11OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use Agents
  12. Source · 2025-10-27Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
  13. Source · 2025-10-14Visa unveils Trusted Agent Protocol for AI commerce
  14. Source · 2025-09-29Agentic Commerce Protocol — Introduction
  15. Source · 2025-09-29Buy it in ChatGPT: Instant Checkout and the Agentic Commerce Protocol
  16. Source · 2025-09-13EchoLeak: The First Real-World Zero-Click Prompt Injection Exploit in Microsoft 365 Copilot
  17. Source · 2025-09-08Introducing the MCP Registry
  18. Source · 2025-08-19MCPTox: A Benchmark for Tool Poisoning Attack on Real-World MCP Servers
  19. Source · 2025-08-17MCPSecBench: A Systematic Security Benchmark for Model Context Protocol
  20. Source · 2025-06-23Google Cloud donates A2A to Linux Foundation
  21. Source · 2025-06-23Linux Foundation Launches the Agent2Agent Protocol Project
  22. Source · 2025-06-20Agentic misalignment: How LLMs could be insider threats
  23. Source · 2025-06-16SHADE-Arena: Evaluating Sabotage and Monitoring in LLM Agents
  24. Source · 2025-06-09tau2-Bench: Evaluating Conversational Agents in a Dual-Control Environment
  25. Source · 2025-06-03DeepShop: A Benchmark for Deep Research Shopping Agents
  26. Source · 2025-05-19Agentforce Pricing
  27. Source · 2025-05Sentiment Simulation using Generative AI Agents
  28. Source · 2025-04-29Mastercard unveils Agent Pay, pioneering agentic payments technology to power commerce in the age of AI
  29. Source · 2025-04-28Protecting against indirect injection attacks in MCP
  30. Source · 2025-04-09Announcing the Agent2Agent Protocol (A2A)
  31. Source · 2025-04-09Grab Deploys Agentic AI to Empower Merchants and Driver Partners
  32. Source · 2025-01-17Technical Blog: Strengthening AI Agent Hijacking Evaluations
  33. Source · 2025Earning Consumer Trust in the Age of Agentic Commerce
  34. Source · 2025International joint testing exercise: Agentic testing
  35. Source · 2025Large-Scale Adaptive Red Teaming of AI Agents
  36. Source · 2025LLM06: Excessive Agency
  37. Source · 2025Mastercard's agentic commerce framework
  38. Source · 2025OS-Harm: A Benchmark for Measuring Safety of Computer-Use Agents
  39. Source · 2025tau-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
  40. Source · 2025WASP: Benchmarking Web Agent Security Against Prompt Injection
  41. Source · 2024-11Generative Agent Simulations of 1,000 People
  42. Source · 2024-08InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
  43. Source · 2024-05-30OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
  44. Source · 2024AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
  45. Source · 2023-08-23More Than a Bot? The Impact of Disclosing Human Involvement on Customer Interactions with Hybrid Service Agents
  46. SourceA2A Protocol v1.0
  47. SourceAI Agent Standards Initiative
  48. SourceAI agent trends 2026 report
  49. SourceAnnouncing the AI Agent Standards Initiative
  50. SourceChatGPT Agent System Card: confirmations and safeguards
  51. SourceImplementation opinions on standardized application and innovative development of AI agents
  52. SourceNIST (2026), “Building Evaluation Probes into Agentic AI.”
  53. SourceTrusted Agent Protocol
  54. SourceTrusted Agent Protocol

Signposts

  1. SignpostAgent Marketplace without Accountability
  2. SignpostAgent-readable Revenue Infrastructure
  3. SignpostVerifiable Autonomous Work Cells

Topic placement guides discovery. It does not change a claim, its evidence or its confidence. Sources without a date are listed after the dated ones.