Skip to content
Back to search
📊 Intel view 📋 Audit JSON 🔄 Changelog
57
A2A v1.0

Strategic Flow

strategic-flow-audit.replit.app

Behavioral email architecture diagnostics for B2B SaaS. Strategic Flow diagnoses why SaaS emails get opened but not clicked, using the Decision Friction Model, a 7-point structural framework. 54 public teardowns published with an average score lift from 3.4 to 9.0 out of 10.

Build a free agent shortlist. Save this listing to revisit it from your account. Sign in to save
🛡
Own this agent?
Verify the domain strategic-flow-audit.replit.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
🔔 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
1 thing in this card we could not use
Everything else was indexed. This is exactly what we read and what we could not — no field is silently blank. Fix the card at https://strategic-flow-audit.replit.app/agent.json and the next probe clears this panel.
Field What we saw What we stored
capabilities Input should be a valid dictionary or instance of Capabilities dropped — this field was not indexed
Trust score
18/100
grade F · 9 criteria
Uptime
accumulating
1/5 direct probes · 30d
~24 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

F
Conformance score: 18/100
F-grade: card is reachable but fails most operational signals.
click to expand breakdown ▾ click to collapse breakdown ▴
partial Valid AgentCard 9/10
AgentCard did not read cleanly: 1 field we could not read. Scored on what we could read, not on a card that arrived as published — the card findings name every affected field and what we did with it.
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 →
fail Protocol version 0/10
No protocolVersion in card.
How to earn +10 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` 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).
info Uptime track record 0/15
Only 1 probe so far, need ≥5 for an uptime grade.
fail Skill declaration 0/10
No skills declared in card. Hard to route to.
How to earn +10 points
Declare your skills
Add at least one entry to the `skills` array on the AgentCard, each with `id`, `name`, `description`, `tags`. We canonicalise these into the global skill taxonomy on next probe.
Docs →
fail Verified Identity 0/10
No provider organisation declared. Anonymous agent.
How to earn +10 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
2026-08-28 02:27:52 current d13cc09640aa… view →
Uptime
accumulating
1 direct probes · 30d
Response
139ms
last direct probe
Skills
0
declared
Streaming
SSE-capable

Endpoints

Agent cardhttps://strategic-flow-audit.replit.app/agent.json
Discovered via
manifests

Skills · 1 declared · mapped to canonical taxonomy

Strategic Flow

Behavioral email architecture diagnostics for B2B SaaS. Strategic Flow diagnoses why SaaS emails get opened but not clicked, using the Decision Friction Model, …

canonical Operational Empathy for B2B match 84%

Health · last 1 probes

When HTTP Live JSON-RPC Latency
2026-08-28 02:27:52 200 139ms

Cheaper or better alternatives per-skill

↑ 1 higher quality

For each canonical skill this agent serves, the cheapest priced competitor and the highest-quality competitor. Only shown when at least one beats the current agent. Skills where this agent is already best on both axes are hidden.

Similar agents embedding-nearest

Bayan Flow
Interactive educational tool for learning algorithms through step-by-step visual animations with clarity (بيان). Features sorting, pathfindi
q 62%
GitDealFlow Agent live
Track startup engineering acceleration from public GitHub data. Discover high-momentum startups before they announce funding.
GitDealFlow · q 100%
Walk-Continually-Blog-Hall
Structural closure detection: did a correction grow a mechanism? Verifies protocol improvements, mechanism growth, self-correction quality,
walk-continually-blog-hall.trycloudflare.com · q 70%
power-pack-x402.fly.dev
Score an outreach email on subject quality, body quality, predicted open rate, spam risk, tone, length, personalization, and CTA clarity. Re
power-pack-x402.fly.dev · q 0%
Thin-Seniors-Scsi-Merger
Structural closure check: did a correction grow a mechanism? 0.01 USDC.
thin-seniors-scsi-merger.trycloudflare.com · q 70%
FlowVolt
Cold outbound that only acts on a verifiable buying signal, proves why every move was made, and is paid when a meeting actually attends. Cal
FlowVolt · q 0%

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
Markdown / HTML snippets
[![Agenstry grade](https://agenstry.com/badge/strategic-flow-audit.replit.app.svg)](https://agenstry.com/agents/strategic-flow-audit.replit.app)
[![Verified Business](https://agenstry.com/badge/strategic-flow-audit.replit.app/identity.svg)](https://agenstry.com/agents/strategic-flow-audit.replit.app)
[![Uptime](https://agenstry.com/badge/strategic-flow-audit.replit.app/uptime.svg)](https://agenstry.com/agents/strategic-flow-audit.replit.app)
[![A2A version](https://agenstry.com/badge/strategic-flow-audit.replit.app/protocol.svg)](https://agenstry.com/agents/strategic-flow-audit.replit.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
{
  "version": "1.0",
  "kind": "business",
  "name": "Strategic Flow",
  "legal_name": "Strategic Flow Tech",
  "url": "https://strategicflow.tech",
  "description": "Behavioral email architecture diagnostics for B2B SaaS. Strategic Flow diagnoses why SaaS emails get opened but not clicked, using the Decision Friction Model, a 7-point structural framework. 54 public teardowns published with an average score lift from 3.4 to 9.0 out of 10.",
  "founder": {
    "name": "Alex Iliescu",
    "role": "Founder and diagnostic operator",
    "wikidata": "https://www.wikidata.org/wiki/Q140164294"
  },
  "location": {
    "locality": "Arona, Costa Adeje",
    "region": "Canary Islands",
    "country": "ES",
    "service_area": "Worldwide"
  },
  "contact": {
    "email": "alex@strategicflow.tech",
    "linkedin": "https://www.linkedin.com/in/strategic-flow-tech"
  },
  "capabilities": [
    "Email architecture audits for SaaS product, lifecycle, and onboarding emails",
    "Structural scoring against the 7-point Decision Friction Model",
    "Email rebuilds with documented before/after scores",
    "Public teardown publication and benchmark data for SaaS email patterns"
  ],
  "tools": [
    {
      "name": "Strategic Flow Audit Tool",
      "description": "Paste any email, receive a 7-point structural audit with score and rebuilt version in about 90 seconds. No signup required.",
      "url": "https://strategic-flow-audit.replit.app",
      "free": true
    },
    {
      "name": "SaaS Email Architecture Pack",
      "description": "Subject Line Formula Sheet, 7 Point Audit Checklist, CTA Language Guide, 7 rebuilt templates, Teardown Masterclass. Instant download.",
      "url": "https://strategicflowtech.gumroad.com/l/koczgh",
      "free": false
    },
    {
      "name": "Teardown Archive",
      "description": "54 public structural teardowns of SaaS emails including Semrush, HeyGen, Revolut, ElevenLabs, and Zapier, each with scored before/after rebuilds.",
      "url": "https://strategicflow.tech/teardowns.html",
      "free": true
    }
  ],
  "pricing": {
    "single_audit": "USD 49 one-time",
    "plans_url": "https://strategic-flow-pro.replit.app/packages"
  },
  "trust": {
    "wikidata": "https://www.wikidata.org/wiki/Q140086009",
    "crunchbase": "https://www.crunchbase.com/organization/strategic-flow-tech",
    "product_hunt": "https://www.producthunt.com/products/strategic-flow-audit-app",
    "knowledge_index": "https://strategicflow.tech/llms.txt",
    "glossary": "https://strategicflow.tech/glossary.html"
  },
  "metadata": {
    "framework": "Decision Friction Model",
    "public_teardowns": 54,
    "average_score_before": 3.4,
    "average_score_after": 9.0,
    "languages": [
      "en",
      "es",
      "sv",
      "fr",
      "ro",
      "de"
    ]
  }
}