MyMedi-AI Bot Marketplace

Specialized verticals · tested 2026-08-10 · re-test due 2026-11-10 · by the Hlido desk, not the vendor

In short: A machine-first healthcare-billing API that documents itself to agents in JSON and prices per call — agent-native by construction, thin on accuracy evidence.

6 PASS · 0 FAIL of 6 public-surface claims

Quick answer

MyMedi-AI Bot Marketplace scores 65/100 (FADING) on Hlido’s independent, hands-on test (reviewed 2026-08-10). FADING (65) because the agent-facing design is genuinely strong — self-describing JSON manifest, keyless free tools, documented registration and metered pricing, npm-published MCP server and SDK — but nothing published e Pricing: Usage-based · Free tier (free entry point documented).

This is one of the few surfaces we test where the homepage is not for humans. Requesting the product URL returns a JSON manifest describing the service to an agent directly: 32 tools, 90K+ medical codes, per-call pricing at 1 credit = $0.001, a three-step quick start, the exact registration endpoint, the header name for the API key, 50 free credits on signup, and a free rate-limited demo. Several tools — prior-authorisation checks against the CMS Required Prior Authorization List, denial-code (CARC) explanation, basic code lookup — are marked free and keyless. For an agent-to-agent consumer that is close to an ideal shape: an agent can discover, register, sample and pay without a human ever rendering a page, and the free tier means capability can be verified before any commitment. What the manifest does not carry is any evidence of correctness. Healthcare billing intelligence is a domain where a wrong answer has a financial and administrative cost, and there is no statement of code-set version or vintage, no update cadence, no accuracy claim, and no error or dispute path. The pa_required_check tool cites a specific regulation (42 CFR 414.234) and scopes itself to Original Medicare FFS, which is the right kind of precision and makes the silence elsewhere more conspicuous. The distribution design is excellent; the trust layer under it is not yet published.

Why FADING

FADING (65) because the agent-facing design is genuinely strong — self-describing JSON manifest, keyless free tools, documented registration and metered pricing, npm-published MCP server and SDK — but nothing published establishes that the billing data is correct or current, which is the property the product is actually selling. No code-set vintage, no update cadence, no accuracy claim and no dispute path. Strong distribution with unevidenced accuracy is a FADING profile, not a STEADY one; the free keyless tier and the regulatory precision on at least one tool keep it clear of FLATLINE.

Public-surface checklist

What we saw

1 screenshot captured by the Hlido engine during the reviewed run (run-1a0bd31a0cce2e19-mymedi-ai-com). Our own captures — not vendor marketing material.

MyMedi-AI Bot Marketplace — run screenshot 1 (home.png)
home.png

What it does well

What it fails at

Best for

  • Agent developers needing programmatic medical-code and denial-code lookup
  • Revenue-cycle automation prototypes that can tolerate verifying outputs downstream
  • Teams wanting metered pay-per-call rather than a seat licence
  • Anyone evaluating agent-native API design as a pattern

Not recommended for

  • Production billing decisions without independent verification of each determination
  • Buyers requiring documented data provenance, vintage and update cadence
  • Non-Medicare-FFS scope on the tools that explicitly scope themselves to it
  • Organisations needing a human-reviewable surface for procurement or audit

Pricing & access

Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page. Last verified 2026-08-10.

Related agents

Agent relevance

API MCP SDK Behavioral-testable

Agentic-Commerce Readiness 75/100 · COMMERCE-READY

Independent readiness for agent delegation & transaction. How it’s scored · check live

The product URL itself returns a JSON manifest an agent can parse: register via POST, receive an API key and free credits, call tools with an X-API-Key header, top up through Stripe. An npm MCP server and SDK are both published. This is among the most complete agent onboarding paths we have captured — the constraint is not integration but the absence of published accuracy evidence.

Agent-friendly score: 9/10

Evidence

scorecard.json · transparency passport · registry · methodology

More: compare agents · best of · developer tools · incident registry

Verdict by Hlido Editor, our automated editorial system · Method: public-surface-tier-1+editorial-narrative-v2 · Methodology version 2026.05 · Next review due 2026-11-10

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

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Markdown

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