← All cardsDOSSIER · Research assistant · SOLID · VERIFIED 2026-06-09
Manus67SolidBenchmark pendingGeneral-purpose autonomous research and task agentVerified 2026-06-09

Dossier · Research assistant

Manus

General-purpose autonomous research and task agent · last verified 2026-06-09

Solid
Research assistant
Manus
67/100
ROLEGeneral-purpose autonomous research and task agent
Editorial fit
67
Source quality
56
Citation honesty
58
Privacy controls
44
Value for money
58
Speed
58
FREEFree trial
$39/MOPlus
CUSTOMPro
SolidVerified 2026-06-09VP·METHOD

VERDICT HISTORY

  • Imported Notion state-of-art fields and corrected Scira-gate status to solid.
  • Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

EDITOR'S NOTE

Manus belongs in VerdictPal as an agentic-workflow stress test, not as a magic intern. The card should ask whether it saves work after verification, not whether it produces impressive artifacts.

AT A GLANCE

Cloud autonomous-agent platform for multi-step research, browsing, file work, reports, slides, websites, data analysis, scheduled tasks, and team/business workflows using credit-based plans.

Role: General-purpose autonomous research and task agentCategory: Research assistantEditorial · hands-on

Manus flagship-ready dossier: General-purpose autonomous research and task agent.

PUBLIC FACTS · vendor & repo

List prices and pay-as-you-go entry points we can cite without running our own bench. Each tile links to a source when possible.

Research assistantSetVerdictPal card
synthesizedEvidenceQuality gate
3Sources checkedCard sources
2026-06-07Pricing checkedQuality gate

Limits & product surface

Non-price vendor claims — multipliers, caps, and API scope. Detailed matrices live in subscription and SDK sections below.

Primary surface
consumer-appCard identity
Modalities
text, code, dataCard identity
Workflow roles
[object Object], [object Object], [object Object]VerdictPal editorial
Alternatives tracked
ChatGPT, Claude, Perplexity, OpenAI Operator-style agents, GeminiVerdictPal comparison set

HOW IT WORKS · agent loop

The public positioning for this product — the loop we score against on VerdictPal.

Start with the wedge

Exploratory multi-step tasks where a sourced report, spreadsheet, deck, or website is more useful than a chat answer

Run the representative task

Run a 5-task agent benchmark: literature scan, spreadsheet cleanup, source-backed report, slide deck, and web workflow; score autonomy, cost, audit trail, and corrections needed.

Check the failure modes

Credit consumption can be hard to forecast

Compare before recommending

Compare against ChatGPT, Claude, Perplexity before shipping advice.

METRIC LAB · 16 DIMENSIONS

Click a tile for the editorial note. Color follows score: coral, yellow, mint.

Shape

Avg 68 · 44–100

67Editorial fit

Weighted roll-up across 13 dimensions for Research assistant; pending desk verification if rescored from public facts.

By group

Fit80
  • Editorial fit67
  • Wedge task fit82
  • Feature depth92
Cost56
  • Free-tier utility61
  • Cost-to-value58
  • Opportunity cost49
Trust72
  • Source grounding58
  • Privacy posture44
  • Failure transparency100
  • Evidence strength56
  • Transparency100
Workflow65
  • Integration reach74
  • Setup friction58
  • Reliability68
  • Competitive position75
  • Data portability49

SEARCH MODES · 4 lenses

One input box, many retrieval postures. Filter by tier.

01Free

Default

Default path for Manus — verify limits on the live product.

02Pro

Deep work

Deep work path for Manus — verify limits on the live product.

03Pro

Focused task

Focused task path for Manus — verify limits on the live product.

04Free

Export & share

Export & share path for Manus — verify limits on the live product.

BENCHMARK LEDGER

Public rows are vendor or third-party claims we logged with a date. Desk rows are reserved for VerdictPal self-run results.

MeasureResultSource
Run a 5-task agent benchmark: literature scan, spreadsheet cleanup, source-backed report, slide deck, and web workflow; score autonomy, cost, audit trail, and corrections neededKeep recommendation locked until the named benchmark is run and reviewed.PlannedVerdictPal benchmark plan

PRICING DECK · checked 2026-06-09

Pro

Custom

month

  • Higher limits
  • Verify live regional checkout before publishing procurement advice.

RAW · checked 2026-06-09: Verified 2026-06-07 from official Manus pricing/product pages: credit-based plans with daily refresh credits; pricing page lists 300 refresh credits every day, 40,000 credits/month, in-depth research for large-scale tasks, professional websites with data analytics, slides for batch production, Wide Research for heavy use, early beta access, 20 concurrent tasks, 20 scheduled tasks, team/business plans, and enterprise security/compliance positioning. Exact lower-tier plan names/prices still need live checkout/full-table verification.

RESEARCH LOG · desk notes

What we learned while building this dossier — not vendor copy.

Notion Card pipeline

Notion research pass

Imported Notion state-of-art fields and corrected Scira-gate status to solid.

VerdictPal git

Flagship-ready structure

Converted imported research into metrics, panes, scenarios, benchmark rows, comparison notes, and pricing deck.

COMPETITIVE LENS

Where Manus wins for cited research — and where a rival still belongs in the stack.

Manus is stronger when exploratory multi-step tasks where a sourced report, spreadsheet, deck, or website is more useful than a chat answer; ChatGPT may still win for narrower fit, procurement, or specialist depth.

Manus

  • Exploratory multi-step tasks where a sourced report, spreadsheet, deck, or website is more useful than a chat answer
  • Users testing cloud agentic workflows before building their own automation stack

ChatGPT

  • You need predictable cost per task, exact reproducibility, or audit-perfect source trails
  • Files, client data, institutional research data, or regulated data cannot be processed by a cloud agent

UNDER THE HOOD

Vendors named on the product about page — useful for procurement and privacy reviews.

multi-step research tasks
Manus
browser and file automation
ChatGPT
report drafting
Claude

DEEP PANES · 6 LENSES

Editorial lenses only. Subscription and API pricing live in their own sections above.

TEST SCENARIOS · hands-on lab

How we exercised the product. Step through each run before you trust the scores.

Test run

Step 1 of 4

Start from the persona in best-for item 1.

BEST FOR

  • Exploratory multi-step tasks where a sourced report, spreadsheet, deck, or website is more useful than a chat answer
  • Users testing cloud agentic workflows before building their own automation stack
  • Low-stakes research/prototype work where credit burn and imperfect execution can be reviewed

AVOID IF

  • You need predictable cost per task, exact reproducibility, or audit-perfect source trails
  • Files, client data, institutional research data, or regulated data cannot be processed by a cloud agent
  • You expect autonomous output to be publishable without source, calculation, and action review

STRENGTHS

  • Multi-step cloud agent tasks
  • Web browsing and file automation
  • Reports/slides/websites/data analysis
  • Scheduled Tasks 2.0 for recurring work, web apps, and updated artifacts
  • 300 daily refresh credits and 40,000 monthly credits in official pricing page
  • 20 concurrent tasks
  • 20 scheduled tasks
  • Team/business plans
  • Meta ownership note
  • Enterprise security positioning

WEAKNESSES

  • Credit consumption can be hard to forecast
  • Exact lower-tier plan prices remain unverified
  • Agent outputs can hide weak sources, failed steps, or bad calculations
  • Cloud execution exposes prompts/uploads/browser state/scheduled-task context/tool outputs
  • Meta ownership may alter buyer trust and data-risk analysis
  • Provider/data-sharing terms need re-check after acquisition

HOW IT COULD IMPROVE

  • Institutional policy friction could be reduced with a local/on-prem deployment option, or at minimum with clear data-handling documentation that compliance teams can review without an NDA.
  • Opportunity cost scores 49/100, the weakest dimension on this dossier. Addressing this would meaningfully raise the editorial fit.
  • Privacy posture scores 44/100, the weakest dimension on this dossier. Addressing this would meaningfully raise the editorial fit.
  • Data portability scores 49/100, the weakest dimension on this dossier. Addressing this would meaningfully raise the editorial fit.

EDITORIAL EVIDENCE · 1 ENTRY

TASK

Run a 5-task agent benchmark: literature scan, spreadsheet cleanup, source-backed report, slide deck, and web workflow; score autonomy, cost, audit trail, and corrections needed.

Desk trial 2026-07-05: personally tried; formal 5-task benchmark still pending.

Keep recommendation locked until the named benchmark is run and reviewed.

This tool is in the VerdictPal Citation Fidelity protocol — frozen question bank, dual-reviewer grading, results still pending. Citation Fidelity v0.1 →

PRIVACY DEEP-DIVE · checked 2026-06-09

Official Manus privacy snippet says policy last updated 2026-04-30 and names Butterfly Effect Pte. Ltd. as provider of Manus AI platform, mobile apps, and browser extensions. Official Manus blog says Manus is now part of Meta, will keep selling/operating subscriptions through its app and website, and will continue operating from Singapore. Cloud agent tasks mean prompts, files, browser/app context, scheduled-task state, artifacts, and outputs are vendor-processed. Re-check DPA, retention, training, enterprise security, and Meta/Manus data-sharing terms before sensitive use.

Training on your dataNot stated
EU data residencyEnterprise tier only
SOC 2 attestationNot documented
Local-first by defaultCloud only

WORKFLOW ROLES

How this tool fits into a composed research stack:

multi-step research tasksbrowser and file automationreport drafting

QUALITY GATE · SOLID

Evidence ready
Benchmark pending
  • desk hands-on 2026-07-05: personally tried; evidence upgraded from synthesized.
  • score-revision 2026-06-09: differentiated from public facts; desk hands-on pass 2026-07-05
  • Flagship-quality promotion 2026-06-04: source-backed dossier promoted; benchmark and public recommendation remain locked until evidence packet is complete.
  • Next action: Run 5-task agent benchmark and re-check full pricing/privacy/provider terms after Meta acquisition.
  • Public recommendation: false
  • Flagship-ready structure generated from Notion deep research and imported git fields on 2026-06-09.

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