PR Outreach · Reviewed 20 Oct 2026

Medialyst

AI-powered media list building and journalist research for PR teams.

from $149 · free tier · medialyst.ai ↗

Paid against free › PR Outreach › Medialyst

Medialyst at a glance

Overview

01

Summary

The useful answer before the supporting detail.

Medialyst is an AI-powered PR research platform that builds vetted media lists and enriches journalist profiles S1. It serves PR teams and founders who need accurate journalist contacts without the cost of legacy databases S1. The platform provides a free tier and credit-based plans, with APIs and MCP tools for automation S147 S23.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: Medialyst is an AI-powered PR research platform for building vetted media lists S1.
  • Core purpose: It solves the problem of stale, expensive PR databases by providing researched journalist contacts S1.
  • Intended users: PR teams, founders, and agencies pitching stories S147.
  • Product scope: A web application with REST API, MCP server, and AI modelintegration S23 [S30](https://medialyst.ai/docs/developers/AI modelsetup).
  • Positioning: Medialyst positions itself as a modern alternative to legacy PR databases, emphasizing quality and human oversight S1.
  • Claimed distinction: It claims to deliver the quality of a senior publicist's list without the high cost S1.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
Founders and small teamsPitching a few stories each month with a free first list S147.
PR agenciesBuilding vetted media lists for high-volume clients S147.
High-volume comms teamsManaging 100+ stories per month with Scale plan S147.
Developers and agentsAutomating media list creation via API or MCP S23.

Features

04

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Media list buildingTurns a campaign brief into a researched journalist list via browser, API, or MCP S23.
Journalist enrichmentAdds byline, outlet, verified email, and fit score to each list row S23.
Beat SweepResearches every angle in the plan and adds journalists until credit budget is spent S23.
Article lookupReturns canonical metadata and optional Markdown for article URLs S15.
Journalist moves trackingProvides de-duplicated journalist outlet-move records via API S9.
Project memoryStores durable client facts and ranking preferences for consistent pitching S9.
Slack integrationEnables Slack delivery for Radar scans and pitch analytics S9.
05

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
REST APIAPIProgrammatic access to media lists, projects, and analytics S9.
Hosted MCP serverAI interfaceLets MCP-capable agents create and inspect media lists S23.
AI modelintegrationAI interfaceConnects Medialyst to AI modelfor journalist request screening [S30](https://medialyst.ai/docs/developers/AI modelsetup).
Slack webhookWebhookEnables Slack delivery for Radar scans and pitch analytics S9.
Article Lookup APIAPIFetches canonical metadata and Markdown for articles S15.
Journalist Moves APIAPITracks journalist outlet moves S9.

Pricing

06

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
Starter$149 monthly or $1,162 yearly S1471,000 credits per month, unlimited seats S1471 project with memory and files S147
Pro$299 monthly or $2,332 yearly S1473,000 credits per month, unlimited seats S1475 projects; unbranded shared lists; team workflows S147
Scale$800 monthly or $6,240 yearly S14710,000 credits per month, unlimited seats S14720 projects; white-labelled lists S147
Free tierFirst media list free, no credit card required S1473 daily journalist lookups S9Daily limits apply S9

Trust and proof

07

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
medialyst.aiMedialyst — Build vetted media lists in minutes with AI / Medialyst.aiGrounded web searchMedialyst — Build vetted media lists in minutes with AI / Medialyst.ai ... # Build a media list in five minutes you can actually pitch with. ... Paste a press release, a website, or a topic. Our AI agents read thousands of articles relevant to your story, find and score reporters by fit, and tell you why each one would write it and how to reach them. ... ## Story → Match → Review → Pitch. ... ### Medialyst builds the evidence-backed shortlist ... It reads current coverage to find who is actively

Customer proof

No named customers, testimonials, or customer case studies were found.

Independent mentions

  • About Medialyst — Built by an AI Engineer and a Working Publicist — on this page exists to explain how we try to clear it. Medialyst reads current coverage, finds who's actually on the beat, and hands back names with verified emails — then a working publicist judges the output against live client campaigns before it ships
  • Get Started / Documentation / Medialyst.ai — We built Medialyst to do the opposite: 10 journalists, not 1,000. Hand-matched, not mass-blasted. Fewer, better, evidence-backed pitches that respect journalists' time. ... or outlets - AI discovery for a plain-language request in the workspace chat
  • Medialyst for AI Agents — MCP and REST API / Medialyst.ai — # the media intelligence layer for your agent ... Let your agent monitor journalist requests, search current news, plan around the PR calendar, and enrich known journalists — while every pitch stays behind human sign-off. ... ## Give your agent live media intelligence, end to end. ... Send a campaign brief and target list size. Medialyst starts discovery and enrichment immediately, returns a durable job ID, and puts the completed list in the same workspace your team already uses. ... Eleven tool
  • How We're Building the World's First Media Database powered by AI-agents / Medialyst.ai — : a database that's always fresh because AI agents can enrich ... Stale record? Missing data? No problem—AI agents research, validate, and return fresh data in seconds. And everything they learn gets written back, making the database smarter for next time.
  • Medialyst MCP / Documentation / Medialyst.ai — # Medialyst MCP Medialyst is the data layer for your agent. The remote MCP server exposes a small set of authenticated research and monitoring tools: Copy Text ``` https://medialyst.ai/api/mcp ``` Most tools share a service contract with Medialyst's
  • Medialyst API Documentation / Medialyst — Development documentation Server Server: https://medialyst.ai API server Client Libraries ... ) Projects Operations - get/api/v1/projects - post/api/v1/projects - post/api/v1/projects/{projectId}/files:upload-text - get/api/v1
  • Changelog / Medialyst / Medialyst.ai — columns, filter and sort views, edit cells, run formulas ... you can reopen an existing table and continue working with the same persistent assistant. ... state handling and action chronology, and tightened the agent docs and tool surface so the product
  • Free Journalist Request Monitoring for AI Agents / Medialyst — requests for free with AI agents. AI modelCowork. ChatGPT. OpenClaw. ... Connect any MCP-compatible agent to Medialyst. It checks multiple journo-request platforms every hour and brings back the opportunities that match what you can credibly speak about.

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

08

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipFounder at EstablishCredsource
Contact and supportNot published on the collected pages.—
Legal and privacyIs there a contract? What if I cancel?+source
Security and complianceThe webhook is a write-only secret. Responses and `GET` return only redacted status under `radar.delivery.slack`, including `enabled`, `webhookConfigured`, and `webhookMasked`; they never return the URL or its encryptedsource
Uptime and status pageNot published on the collected pages.—
Domain registered2025-07-16—
Domain expires2027-07-16—

Not found on the collected pages: contact and support, uptime and status page. This only means Scout did not find it on the pages it read; it says nothing about the company itself.

09

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
Tables / Documentation / Medialyst.aiGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. (source)Not dated
REST API Reference / Documentation / Medialyst.aiAPI referenceCovers authentication, MCP setup, endpoints and payloads, rate limits and errors, code examples. (source)Not dated
Article Lookup API / Documentation / Medialyst.aiGuideLook up canonical metadata, author details, and optional Markdown for one article URL or a batch of up to 10 over REST. (source)Not dated
Automated Media Lists / Documentation / Medialyst.aiDocumentationCreate a researched media list with an approval-gated browser link, the Medialyst REST API, or hosted MCP tools. (source)Not dated
Set Up Medialyst In AI model / Documentation / Medialyst.aiDocumentationAdd Medialyst to AI modelas a custom connector, sign in with OAuth, and set up an hourly routine that screens journalist requests. ([source](https://medialyst.ai/docs/developers/AI modelsetup))Not dated
Journalist Lookup API / Documentation / Medialyst.aiDocumentationTake one journalist from a name to a deliverable email in one call. (source)Not dated
Journalist Moves API / Documentation / Medialyst.aiDocumentationPoll de-duplicated, evidence-backed journalist outlet moves with a collision-safe cursor over REST or MCP. (source)Not dated
Journalist Requests MCP Feed / Documentation / Medialyst.aiDocumentationPoll six normalized journalist-request sources with a collision-safe MCP cursor. (source)Not dated

Not found in the collected public sources: public roadmap, changelog or release notes, status page, separate help center or knowledge base.

Technical

10

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Cloud-based web application S147.S147
Platforms and appsWeb platform S147.S147
API and extensibility (API, SDK, webhooks, MCP, plugins)REST API, hosted MCP server, and Slack webhook S9 S23.S9 S23
Data ownership and exportNot published on the collected pages.—
Performance and reliability claimsNot published on the collected pages.—
Release activityNot published on the collected pages.—
11

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
Domain registered2025-07-16 — Cloudflare, Inc
Domain expires2027-07-16
First archived2026-01-07 — web archive
TLS certificateGoogle Trust Services, valid, expires 2026-12-06
Security headersHSTS, CSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy
Server headercloudflare
Mail handled byaspmx.l.google.com, alt1.aspmx.l.google.com
Nameserverslaila.ns.cloudflare.com, alexis.ns.cloudflare.com

Limits and method

12

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not mention specific competitors by name. Evidence gaps include lack of customer testimonials, independent reviews, security certifications, and detailed feature documentation beyond API references. Open questions remain about data ownership, uptime guarantees, and the full scope of the web application's features.

13

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from medialyst.ai, including the homepage, about page, and developer documentation. The evidence catalog includes 185 mapped URLs, with 15 pages collected via static and browser rendering rendering. External proof search was enabled but did not verify additional claims. Limitations: no third-party reviews or customer case studies were collected; pricing and features are based on first-party sources.

Paid against free, in your inbox

One job at a time: the paid tools worth paying for, the free ones you can run yourself, and who should pick which.

No tracking pixels. One click to leave. We use your address to send Stack Radar and nothing else. Privacy.