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📊 Intel view 📋 Audit JSON 🔄 Changelog
100
A2A live JSON-RPC A2A 1.0 v1.0.0

UserTold.ai Research Delivery Agent

usertold.ai · UserTold.ai

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

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Verify the domain usertold.ai via a single DNS TXT record to add the verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
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🔔 Watch this agent. Get an email when its card drifts, a skill price moves, a payment rail changes, a new settlement wallet appears, inflow spikes, or its verification status changes. Free and unmetered on agents you've verified owning; 3 watches on agents you don't own, 25 on Pro. Sign in to watch
Trust score
60/100
grade C · 9 criteria
Uptime
accumulating
1/5 direct probes · 30d
~458 ms response
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
changed
1 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

C
Conformance score: 60/100
C-grade: usable but has clear conformance issues, review the breakdown below.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Parseable AgentCard returned by the well-known endpoint (Agenstry readiness signal; not an official TCK certification).
pass Live JSON-RPC 25/25
Endpoint responds to a negotiated A2A SendMessage probe (answers in ~458 ms).
pass Protocol version 10/10
Declares A2A 1.0 with supportedInterfaces[] (current v1 card shape).
info JWS signature 0/10
Card is unsigned (most published agents are).
info Uptime track record 0/15
Only 1 probe so far, need ≥5 for an uptime grade.
partial Skill declaration 6/10
Declares 2 skill, usable but thin.
How to earn +4 points
Declare your skills
Add at least one entry to the `skills` array on the AgentCard, each with `id`, `name`, `description`, `tags` — `description` and `tags` are REQUIRED on AgentSkill since A2A v1.0, and tags are what discovery filters match on. We canonicalise these into the global skill taxonomy on next probe.
Docs →
partial Verified Identity 5/10
Provider declared: UserTold.ai (https://usertold.ai). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 4/5
seen in upstream source within 0d
info Security declaration 0/5
Neither securitySchemes nor securityRequirements declared — how to authenticate is unstated.
⚠ Card drift detected. This agent's agent-card.json changed within the last 7 days. We track these so downstream callers can react.

Activity (audit trail)

last 24h · 0 invocations Public aggregate · no PII recorded

Nothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.

Card history

1 snapshot Every change to agent-card.json
Captured Hash
2026-10-02 11:38:07 current bc3174eecea9… view →
Uptime
accumulating
1 direct probes · 30d
Response
855ms
last direct probe
Skills
2
declared
Streaming
—
SSE-capable

Try it

Send a message to this agent live. Your prompt is proxied through Agenstry.

calling agent…

Skills · 2 declared · mapped to canonical taxonomy

Discover UserTold.ai integration paths

Direct agents to the stable UserTold.ai docs, OpenAPI schema, MCP metadata, CLI JSON help, widget installation guide, and public discovery files.

canonical REST API Integration match 83%
user-researchdeveloper-toolsapimcpcli
Plan the research-to-delivery loop

Explain the UserTold.ai workflow from Study to Interview to source-linked Evidence and Findings, followed by explicit delivery and recurrence tracking.

canonical Text-to-Speech match 84%
researchevidencelinearworkflow

Health · last 1 probes

When HTTP Live JSON-RPC Latency
2026-10-02 11:38:07 200 ✓ 855ms

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Embed your Agenstry badge

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Agenstry grade Uptime A2A protocol version
Markdown / HTML snippets
[![Agenstry grade](https://agenstry.com/badge/usertold.ai.svg)](https://agenstry.com/agents/usertold.ai)
[![Verified Business](https://agenstry.com/badge/usertold.ai/identity.svg)](https://agenstry.com/agents/usertold.ai)
[![Uptime](https://agenstry.com/badge/usertold.ai/uptime.svg)](https://agenstry.com/agents/usertold.ai)
[![A2A version](https://agenstry.com/badge/usertold.ai/protocol.svg)](https://agenstry.com/agents/usertold.ai)

Audit-grade evidence bundle

JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against our JWKS. See the methodology.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON
{
  "name": "UserTold.ai Research Delivery Agent",
  "description": "Public discovery agent for UserTold.ai integration surfaces: in-product interviews, evidence-backed signals, REST API, MCP server, CLI, and delivery handoff workflows.",
  "supportedInterfaces": [
    {
      "url": "https://usertold.ai/a2a/v1",
      "protocolBinding": "JSONRPC",
      "protocolVersion": "1.0"
    }
  ],
  "provider": {
    "url": "https://usertold.ai",
    "organization": "UserTold.ai"
  },
  "version": "1.0.0",
  "documentationUrl": "https://usertold.ai/for-agents",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "extendedAgentCard": false,
    "extensions": [
      {
        "uri": "https://usertold.ai/.well-known/a2a-extensions/integration-discovery/v1",
        "description": "Links A2A clients to UserTold.ai integration, documentation, and authentication discovery surfaces.",
        "required": false,
        "params": {
          "apiCatalogUrl": "https://usertold.ai/.well-known/api-catalog",
          "llmsTxtUrl": "https://usertold.ai/llms.txt",
          "documentationUrl": "https://usertold.ai/docs",
          "agentSkillsIndexUrl": "https://usertold.ai/.well-known/agent-skills/index.json",
          "openApiUrl": "https://usertold.ai/openapi.json",
          "cli": {
            "packageName": "usertold",
            "packageUrl": "https://www.npmjs.com/package/usertold",
            "documentationUrl": "https://usertold.ai/docs/cli"
          },
          "authDocumentationUrl": "https://usertold.ai/auth.md",
          "oauthAuthorizationServerMetadataUrl": "https://usertold.ai/.well-known/oauth-authorization-server",
          "oauthProtectedResourceMetadataUrl": "https://usertold.ai/.well-known/oauth-protected-resource",
          "mcp": {
            "url": "https://mcp.usertold.ai/mcp",
            "documentationUrl": "https://usertold.ai/docs/mcp",
            "transport": "streamable-http",
            "oauthProtectedResourceMetadataUrl": "https://mcp.usertold.ai/.well-known/oauth-protected-resource/mcp"
          }
        }
      }
    ]
  },
  "defaultInputModes": [
    "text/plain",
    "application/json"
  ],
  "defaultOutputModes": [
    "text/plain",
    "application/json"
  ],
  "skills": [
    {
      "id": "discover-usertold-integration",
      "name": "Discover UserTold.ai integration paths",
      "description": "Direct agents to the stable UserTold.ai docs, OpenAPI schema, MCP metadata, CLI JSON help, widget installation guide, and public discovery files.",
      "tags": [
        "user-research",
        "developer-tools",
        "api",
        "mcp",
        "cli"
      ],
      "examples": [
        "Where should an agent find the UserTold.ai OpenAPI schema?",
        "How do I discover the UserTold.ai MCP server and CLI surfaces?"
      ],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "text/plain",
        "application/json"
      ]
    },
    {
      "id": "plan-research-to-delivery-loop",
      "name": "Plan the research-to-delivery loop",
      "description": "Explain the UserTold.ai workflow from Study to Interview to source-linked Evidence and Findings, followed by explicit delivery and recurrence tracking.",
      "tags": [
        "research",
        "evidence",
        "linear",
        "workflow"
      ],
      "examples": [
        "How does UserTold.ai turn interview evidence into Linear work?",
        "What should I read before embedding the interview widget?"
      ],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "text/plain",
        "application/json"
      ]
    }
  ],
  "iconUrl": "https://usertold.ai/social-preview.png"
}