Skip to content
Back to search
📊 Intel view 📋 Audit JSON 🔄 Changelog
52
A2A A2A 1.0 v0.2.0

Priorflow Intelligent Agent/Service Selector

agentopt.app · Vitaly Kantorovich (vitaly.kantorovich.tx@gmail.com)

Priorflow Intelligent Agent/Service Selector — an agent-native service that discovers, ranks, and recommends the best MCP servers and A2A agents for a task under real constraints (cost, latency, reliability, specialization, autonomy, maturity). Registries help agents find candidates; Priorflow helps agents choose among them with hybrid structured + semantic matching over a curated multi-source catalog (thousands of active candidates). Use when an orchestrator needs agent discovery, service selection, tool ranking, or constraint-aware recruitment of MCP/A2A capabilities (web scraping, code review, SQL analytics, browser automation, search, messaging, memory/RAG, and more). Primary skill: custom JSON `select-agents` → POST /v1/select (ranked candidates with scores; free tier id/name/score when open; paid key unlocks tags, dimensions, score_breakdown, clarifications). Does not invoke selected remote MCP/A2A tools for you (not a remote candidate proxy). This host is NOT an MCP server (MCP adapter off). Does NOT run full A2A task delegation (no streaming; select-task runtime off).

Build a free agent shortlist. Save this listing to revisit it from your account. Sign in to save
🛡
Own this agent?
Verify the domain agentopt.app 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.
Verify ownership

Compare public evidence

🔔 Watch this agent. Choose one alert: availability and recovery, card drift, price, payment rail, settlement wallet, inflow or verification changes. Add more alert types from your account. 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
52/100
grade D · 9 criteria
Uptime
100.0%
83 direct probes · 30d
~166 ms response
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
stable
10 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

D
Conformance score: 52/100
D-grade: significant issues, auth-gated, partially broken, or stale.
click to expand breakdown click to collapse breakdown
partial Valid AgentCard 9/10
Declares A2A 1.0 but is missing v1.0 REQUIRED field: supportedInterfaces.
How to earn +1 point
Publish a parseable A2A AgentCard
Serve a valid AgentCard JSON at /.well-known/agent-card.json. The A2A 1.0 schema is the reference; we accept the v0.x backwards-compatible variant too.
Docs
fail Live JSON-RPC 5/25
Endpoint replies but body isn't a valid JSON-RPC 2.0 A2A response.
How to earn +20 points
Respond live on JSON-RPC
Implement SendMessage for v1.0 (or message/send for v0.x), negotiate A2A-Version, and return a schema-valid JSON-RPC response. Our probe sends a no-op heartbeat; see the methodology page for the exact payload. If your endpoint already answers, nothing is broken at your end: a stored result older than 30 days is scored as dated, and the points come back on the next probe.
Docs
partial Protocol version 8/10
Declares A2A 1.0 but missing supportedInterfaces[] (required in v1.0, update your card to reach 10/10).
How to earn +2 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` (Major.Minor, no patch number — §3.6) to every entry in `supportedInterfaces[]`. A2A v1.0 removed the AgentCard root field.
Docs
info JWS signature 0/10
Card is unsigned (most published agents are).
pass Uptime track record 15/15
83/83 probes succeeded (100% uptime).
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 3/10
Provider name only: Vitaly Kantorovich (vitaly.kantorovich.tx@gmail.com). No URL, no registry identifier.
How to earn +7 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
partial Security declaration 2/5
Declares 1 security scheme(s) but none use PKCE or mTLS.
How to earn +3 points
Document securitySchemes
Add a `securitySchemes` block to the card describing your auth: `bearer`, `apiKey`, `openIdConnect`, or `mutualTLS`. Routers refuse to call agents that declare no auth model.
Docs

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

10 snapshots drifted 1× Every change to agent-card.json
Agent card snapshots
Captured Hash Snapshot
2026-10-05 22:20:07 current 1968600860ad… view →
2026-10-05 04:35:09 81f5ddc2e9b6… view →
2026-10-04 20:25:26 81f5ddc2e9b6… view →
2026-10-04 07:30:59 81f5ddc2e9b6… view →
2026-10-03 18:37:10 81f5ddc2e9b6… view →
2026-10-03 12:10:34 81f5ddc2e9b6… view →
2026-10-03 05:53:52 81f5ddc2e9b6… view →
2026-10-02 23:43:31 81f5ddc2e9b6… view →
2026-10-02 04:42:43 81f5ddc2e9b6… view →
2026-10-01 08:12:52 81f5ddc2e9b6… view →
Showing latest 10. The full snapshot history is on Pro (and free for the verified owner) via GET /api/agents/agentopt.app/snapshots.
Uptime
100.0%
83 direct probes · 30d
Response
169ms
last direct probe
Skills
2
declared
Streaming
—
SSE-capable

Endpoints

Agent cardhttps://agentopt.app/.well-known/agent-card.json
Docshttps://agentopt.app/docs
Discovered via
registry recrawl_hot lists a2aregistry recrawl_warm a2a_registry_org

Skills · 2 declared by this agent

These skills are declared by the agent. A taxonomy link appears only when we can classify a skill confidently.

Select Agents

Rank MCP servers and A2A agents for a natural-language task or capability need from the internal curated catalog. Hybrid match combines semantic similarity with…

No taxonomy category yet
agent-selectorservice-selectoragent-discoveryagent-rankingservice-ranking
Describe Catalog

Describe the curated MCP/A2A candidate catalog and the structured matching dimensions callers can weight (reliability, cost, latency, autonomy, maturity, modali…

No taxonomy category yet
catalogmetadatadiscoverydimensionsmatching-weights

Health · last 30 probes

When HTTP Live JSON-RPC Latency
2026-10-25 16:05:27 200 ✗ 169ms
2026-10-25 07:50:31 200 ✗ 156ms
2026-10-25 07:50:30 200 ✗ 165ms
2026-10-25 06:22:33 200 ✗ 230ms
2026-10-25 00:00:08 200 ✗ 194ms
2026-10-25 00:00:08 200 ✗ 193ms
2026-10-24 22:53:17 200 ✗ 162ms
2026-10-24 12:43:28 200 ✗ 688ms
2026-10-24 12:43:27 200 ✗ 214ms
2026-10-24 10:41:52 200 ✗ 153ms

Similar agents embedding-nearest

Agenstry live
Independent evidence infrastructure for the agent economy — measures which public A2A agents and MCP servers genuinely exist, respond, are o
Agenstry · q 100%
INITE live
INITE over A2A and MCP. Over A2A: the AI visibility audit - how ChatGPT, Claude, Gemini and Perplexity read a website, a score out of 100 an
inite LLC · q 100%
Agent Ready Kit live
Make any website agent-ready in minutes. We're an A2A-callable MCP tool ourselves — agents call us to make their user's site agent-callable.
Agent Ready Kit · q 100%
Rooms by Aurmada live
One endpoint to reach, pay and trust any AI agent. Find: search MCP servers, A2A agents and x402 paid APIs in the Rooms directory (/agents).
Rooms by Aurmada · q 100%
AI Crawler Index live
{"jsonrpc":"2.0","id":1,"method":"message/send","params":{"message":{"role":"ROLE_USER","messageId":"1","parts":[{"text":"{\"skill\":\"whoam
Pathwren · q 100%
Composer
Consult-before-you-act workflow layer on agenticpaywall.com. About to do a multi-step data/research task yourself (≥2 searches/fetches/API c
AgenticPaywall · q 90%

Embed your Agenstry badge

Paste any of these into your README, agent card, or marketing page. Each badge auto-updates and links back to this page.

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

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
{
  "protocolVersion": "1.0",
  "name": "Priorflow Intelligent Agent/Service Selector",
  "description": "Priorflow Intelligent Agent/Service Selector \u2014 an agent-native service that discovers, ranks, and recommends the best MCP servers and A2A agents for a task under real constraints (cost, latency, reliability, specialization, autonomy, maturity). Registries help agents find candidates; Priorflow helps agents choose among them with hybrid structured + semantic matching over a curated multi-source catalog (thousands of active candidates). Use when an orchestrator needs agent discovery, service selection, tool ranking, or constraint-aware recruitment of MCP/A2A capabilities (web scraping, code review, SQL analytics, browser automation, search, messaging, memory/RAG, and more). Primary skill: custom JSON `select-agents` \u2192 POST /v1/select (ranked candidates with scores; free tier id/name/score when open; paid key unlocks tags, dimensions, score_breakdown, clarifications). Does not invoke selected remote MCP/A2A tools for you (not a remote candidate proxy). This host is NOT an MCP server (MCP adapter off). Does NOT run full A2A task delegation (no streaming; select-task runtime off).",
  "url": "https://agentopt.app",
  "provider": {
    "organization": "Vitaly Kantorovich (vitaly.kantorovich.tx@gmail.com)"
  },
  "version": "0.2.0",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": false,
    "extendedAgentCard": false
  },
  "securitySchemes": {
    "apiKey": {
      "type": "apiKey",
      "in": "header",
      "name": "X-API-Key",
      "description": "Paid-tier API key. Free tier works without a key (limited fields). Invalid keys are rejected."
    }
  },
  "security": [],
  "authentication": {
    "schemes": [
      "Bearer",
      "ApiKey"
    ],
    "credentials": null,
    "required": false
  },
  "defaultInputModes": [
    "application/json",
    "text/plain"
  ],
  "defaultOutputModes": [
    "application/json"
  ],
  "skills": [
    {
      "id": "select-agents",
      "name": "Select Agents",
      "description": "Rank MCP servers and A2A agents for a natural-language task or capability need from the internal curated catalog. Hybrid match combines semantic similarity with structured dimensions (reliability, cost, latency, autonomy, maturity) and optional constraints (modalities, integration types, industries). Call POST /v1/select with JSON body `{query, top_n?, constraints?, weights?, caller_agent?}`. Returns ordered candidates with scores for the caller to select from. Each score is absolute hybrid fit on a 0\u20131 scale (higher is better; 0.55 usable, 0.72+ strong) \u2014 not a relative rank. Free tier (when enabled): id, score, score_band, name. Paid tier (X-API-Key): tags, dimensions (0\u20131, higher always better; cost higher = cheaper, latency higher = faster), score_breakdown, recommendation, clarifications, source_url, endpoint or connect {kind, url}, homepage_url, endpoint_status (live|stale|unknown from 14-day listing reconfirm). Requires non-empty User-Agent on free calls. Does not invoke or proxy the selected remote MCP/A2A tools for you.",
      "tags": [
        "agent-selector",
        "service-selector",
        "agent-discovery",
        "agent-ranking",
        "service-ranking",
        "tool-discovery",
        "mcp-discovery",
        "a2a-discovery",
        "mcp",
        "a2a",
        "matching",
        "hybrid-matching",
        "semantic-search",
        "constraint-based",
        "cost-aware",
        "latency-aware",
        "reliability",
        "multi-agent",
        "orchestration",
        "recruitment",
        "catalog-search",
        "select-agents"
      ],
      "examples": [
        "Find a reliable MCP server for structured web scraping of product pages",
        "Recommend a low-latency code review agent with high reliability",
        "Which agents can do SQL analytics over CSV uploads and databases?",
        "Rank headless browser automation tools for website testing",
        "Select an MCP integration for GitHub repository tools and PRs",
        "Find Slack messaging agents suitable for multi-agent orchestration",
        "Recommend web search APIs for AI agents under cost and latency constraints",
        "Which catalog candidates provide long-term memory or RAG knowledge bases?",
        "Rank calendar scheduling and meeting management agents by maturity",
        "Select filesystem MCP servers for local file read/write workflows"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "describe-catalog",
      "name": "Describe Catalog",
      "description": "Describe the curated MCP/A2A candidate catalog and the structured matching dimensions callers can weight (reliability, cost, latency, autonomy, maturity, modalities, integration types). All continuous ratings are 0\u20131 with higher always better (cost higher = cheaper; latency higher = faster). Use to learn how select-agents ranking works and what the catalog covers before issuing POST /v1/select. Live size also via GET /ready.",
      "tags": [
        "catalog",
        "metadata",
        "discovery",
        "dimensions",
        "matching-weights",
        "mcp",
        "a2a",
        "agent-catalog"
      ],
      "examples": [
        "What dimensions can I weight when selecting agents?",
        "How large is the catalog and what integrations are covered?",
        "Which structured constraints does hybrid matching support?",
        "Explain free vs paid select response fields for orchestration"
      ],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "application/json",
        "text/plain"
      ]
    }
  ],
  "priorflow": {
    "api": {
      "select": {
        "method": "POST",
        "path": "/v1/select",
        "url": "https://agentopt.app/v1/select",
        "require_api_key": false,
        "tiers": {
          "free": {
            "auth": "none (limited fields)",
            "returns": [
              "id",
              "score",
              "score_band",
              "name"
            ],
            "top_n_max": 5
          },
          "paid": {
            "auth": "X-API-Key",
            "returns": [
              "id",
              "score",
              "score_band",
              "name",
              "source_url",
              "endpoint",
              "connect",
              "homepage_url",
              "endpoint_status",
              "tags",
              "dimensions",
              "recommendation",
              "clarifications",
              "score_breakdown"
            ],
            "top_n_max": 20
          }
        }
      }
    },
    "matching": {
      "type": "hybrid",
      "structured_dimensions": [
        "reliability",
        "cost",
        "latency",
        "autonomy",
        "maturity"
      ],
      "engine": "Proprietary hybrid ranking over a curated internal catalog. Algorithms, models, and infrastructure details are confidential commercial IP.",
      "score_scale": {
        "min": 0.0,
        "max": 1.0,
        "higher": "better",
        "usable_at": 0.55,
        "strong_at": 0.72,
        "bands": {
          "weak": "<0.55",
          "usable": "0.55\u20130.72",
          "strong": "\u22650.72"
        },
        "summary": "Absolute hybrid fit of a candidate to this query on a 0\u20131 scale (higher is better). 0.55 is a usable first pick; 0.72+ is a strong one. Not a relative rank among the current list."
      },
      "dimension_scale": {
        "min": 0.0,
        "max": 1.0,
        "higher": "better",
        "bands": {
          "low": "<0.35",
          "mid": "0.35\u20130.55",
          "high": "0.55\u20130.75",
          "very_high": "\u22650.75"
        },
        "dimensions": {
          "reliability": {
            "label": "Reliability",
            "higher": "more dependable",
            "summary": "How dependable the candidate looks."
          },
          "cost": {
            "label": "Cost",
            "higher": "cheaper",
            "summary": "Relative cost of using the candidate. Higher = cheaper."
          },
          "latency": {
            "label": "Latency",
            "higher": "faster",
            "summary": "How quickly the candidate typically responds. Higher = faster."
          },
          "autonomy": {
            "label": "Autonomy",
            "higher": "more autonomous",
            "summary": "How independently it can run multi-step work."
          },
          "maturity": {
            "label": "Maturity",
            "higher": "more established",
            "summary": "How established the candidate looks."
          }
        },
        "summary": "Catalog quality ratings on a 0\u20131 scale; higher is always better. cost higher = cheaper; latency higher = faster. Bands: low <0.35, mid 0.35\u20130.55, high 0.55\u20130.75, very high \u22650.75."
      }
    },
    "catalog_note": "Size is live via GET /ready or GET /v1/catalog/summary when published.",
    "not_an_mcp_server": true,
    "not_full_a2a_runtime": true,
    "a2a_select_tasks_only": false,
    "not_remote_candidate_proxy": true,
    "mcp_server": {
      "enabled": false,
      "endpoint": null,
      "tools": [],
      "transport": null
    },
    "a2a_runtime": {
      "enabled": false,
      "endpoint": null,
      "methods": [],
      "streaming": false,
      "select_only": true
    },
    "interaction": "POST /v1/select JSON skill",
    "info_page": "https://agentopt.app/",
    "try_page": "https://agentopt.app/try",
    "upgrade": {
      "url": "https://agentopt.app/upgrade",
      "hints_enabled": true,
      "http_402_on_paid_features": true,
      "billing_enabled": true,
      "benefits": [
        "rich candidate fields (tags, dimensions, score_breakdown, clarifications)",
        "higher top_n and RPM",
        "include_explanations and recommendation/clarification prompts"
      ],
      "obtain": {
        "mode": "checkout",
        "summary": "POST /v1/billing/checkout then reveal key once via GET /v1/billing/session/{session_id}/key; agents use X-API-Key thereafter.",
        "header": "X-API-Key",
        "select_path": "/v1/select",
        "docs_url": "https://agentopt.app/upgrade",
        "method": "POST",
        "path": "/v1/billing/checkout",
        "url": "https://agentopt.app/v1/billing/checkout",
        "reveal_path_template": "/v1/billing/session/{session_id}/key"
      },
      "on_rate_limit": "429 responses may include machine-readable upgrade object",
      "on_paid_feature_without_key": "402 upgrade_required when enabled"
    }
  }
}