Comparison · PromptCloud

PromptCloud Alternative

The closest comparison in our actual competitive set. Similar model, similar markets, real differences.

PromptCloud and Actowiz Solutions are both managed data-as-a-service providers with overlapping India-and-global footprints and the same enterprise buyer. The differences are in engagement granularity, whose schema the output arrives in, and how much of the compliance position is documented before you sign.

If you are comparing these two, you are comparing peers rather than categories. That makes generic vendor arguments useless. What actually differs is how each defines scope, who owns the schema, and what you get in writing before money changes hands.

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Free pilot on your own sources, returned in 24 hours. Delivered in your existing schema so you can diff it against what you have today.

The short version

PromptCloud and Actowiz are different products, not competing versions of the same one. This page sets out where each one wins, including where we lose. If the honest answer is that you should not use us, it is on this page.

Where we are the wrong choice →

Our Data Powers

B2C Marketplace

amazon

D2C + Marketplace

NYKAA

D2C + Marketplace

Walmart

FMCG Marketplace

udaan

Food Delivery

Uber Eats

Quick Commerce

blinkit

Taxi Aggregator

Uber

E-Commerce

Tmall

Side by side

Which one fits your situation

Both models work. The question is which shape of product matches how your team is set up and what it is trying to protect.

Choose them when

PromptCloud is the better fit if…

You want a single vendor running a very large number of sources with hosted delivery infrastructure included
You prefer the vendor to own the schema and take responsibility for its evolution rather than matching yours
Their existing pipelines already cover most of your source list, which makes onboarding faster
You have an established relationship and switching cost outweighs the differences below
You need capabilities we have deliberately declined — check our exclusions before assuming we compete

Choose us when

Actowiz is the better fit if…

You want output in your own data model so external data stops needing a translation layer
You want each source classified feasible, partial or not feasible in writing before you receive a quote
Your data protection review needs a source-by-source methodology document rather than a compliance assertion
You want coverage stated honestly upfront, including which sources will be sparse
You want a named engineer who built the pipeline rather than an account layer between you and the work
Predictable monthly cost matters more than volume-tiered pricing

Being straight about it

Where we are honestly the wrong choice

Every vendor comparison page is written by the vendor. Ours included. So here is the list we would rather you read now than discover in month three.

Do not buy from us if any of these apply

You need hundreds of sources live simultaneously from day one. Both of us would stage that, but if breadth at speed is the single deciding factor, compare onboarding timelines directly rather than taking either page's word.
You want the vendor to own schema decisions so your team does not have to think about them. We deliver in your model, which requires you to have one.
Your requirement includes something in our exclusion list — patient data, licensed exchange or MLS content, login-gated professional networks. We decline those regardless of who else offers them.
You want a self-serve API you can start using this afternoon. That is not what either of us sells, and a self-serve infrastructure vendor is the right answer.

Detail

Point-by-point comparison

Focused on what differs operationally rather than on feature counts, since feature lists rarely predict whether a data feed still works in month eight.

PromptCloud versus Actowiz managed service — operational comparison
Consideration	PromptCloud	Actowiz managed service
What you buy	Fully managed DaaS with custom crawls and hosted delivery	Fully managed collection scoped per source, with a documented schema agreed before build
Pricing model	Custom quotes based on scope and volume	Fixed monthly retainer sized to scope, no per-request metering
Feasibility	Assessed during scoping	Classified per source in writing before quoting: feasible, partial or not feasible with reasons
Schema	Vendor-defined with customisation	Yours if you want it — your field names, units, null conventions and join keys
Compliance artefacts	Available on request	Written methodology document per source plus DPA, provided before signature
Coverage transparency	Coverage discussed during scoping	Per-source coverage stated, including which sources will be thin and why
Exit	Standard commercial terms	Full historical export on request, no exit fee, handover documentation available

All third-party names and marks are the property of their respective owners. This is our own comparison, is not endorsed by any provider named, and reflects publicly available information as of August 2026. Provider capabilities and pricing change — check their own site for current details, and hold us to the same standard.

Practical next step

How to evaluate this properly, in five steps

Not a sales process. A method for reaching a decision you can defend internally, including a decision not to change anything.

Send us the source list and current schema
We work from the specification. No access to your existing vendor's platform is needed or wanted.
Per-source feasibility, free
Every source classified with reasons within 24 hours. Where a source is genuinely hard rather than infeasible, we say which and why.
Pilot in your target schema
Real output in your own data model, so the comparison is against what you receive today rather than against a claim.
Parallel run
Two to four weeks of both feeds. Compare fill rates, freshness and coverage on your own sources before committing.

The 24-hour sample — run on your sources, not ours

Before you switch anything, we run your existing sources in your existing schema and hand you the output. Compare it against what you have today. If ours is not better on the fields you care about, that is a useful answer and it cost you nothing.

Real extraction from your actual sources
Returned inside two business days
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Service commitments

What we commit to, in writing

Contractual, not marketing copy. These appear in the engagement document.

Service level commitments written into every managed engagement
Commitment	What we hold ourselves to
Pilot turnaround	A real sample from your own sources within 24 hours of scoping, at no cost.
Go-live	Production collection running within 5–10 business days of sign-off.
Delivery punctuality	99.5% on-schedule delivery, measured monthly and reported to you.
Breakage response	Source layout changes triaged same business day; critical sources inside 4 hours.
Data quality	Schema validation on every run plus sampled human QA before any delivery leaves us.
Escalation	A named engineer and an account owner, not a shared ticket queue.
Change requests	Field additions and source changes handled inside the retainer, not re-quoted.
Exit	Your historical data exported in full on request. No lock-in, no export fee.

Why teams pick Actowiz for this work

Engineers, not a dashboard. You get people who fix breakages, not a self-serve tool you maintain yourself.
We tell you what we can't do. Scope limits and coverage gaps are stated before you sign, not discovered in month three.
QA is part of the service. Schema validation and sampled human review run before delivery, every run.
Compliance is documented. Sources, method and lawful basis written down so your legal team can review them.
Fixed monthly cost. No per-request metering, no surprise overage on a month when a competitor adds SKUs.
Six years, 40+ countries. Long-running production pipelines across retail, travel, mobility and finance.

FAQ

Frequently asked questions

The questions that come up when teams are comparing options.

Less in capability than in process. The differences that show up in practice are: whose schema the output arrives in, whether feasibility is classified before or after quoting, and how much compliance documentation exists before signature rather than on request.

Those sound procedural and they determine how much work your team does after the data lands. Schema ownership in particular is where the hidden cost of external data usually sits.

Sometimes, and not by design. Both of us quote on scope, so the answer depends on your source list and volumes rather than on a list price either of us publishes.

Where our model differs is predictability: a fixed monthly retainer rather than volume-tiered pricing means a traffic spike or a catalogue expansion does not produce a surprise invoice. That is worth more to some finance teams than a lower headline number.

Comparable in the categories we both serve, and I would not claim more than that. We run 40+ countries across commerce, travel, property, logistics, jobs, finance and industry sources.

The useful test is your own list. Send it and we classify every source in writing within 24 hours — including which will be thin. Then ask them the same question and compare the two answers rather than the two marketing pages.

Patient and clinical data, licensed third-party datasets including exchange market data and MLS listing content, login-gated professional network data, reviewer names and profiles, and anything requiring credentialed access.

We decline these regardless of what any competitor offers. If your requirement includes one of them, we are the wrong vendor and it is better established now than in month two.

Yes, with confidence-scored matching, and unmatched records are reported rather than dropped. A feed that silently discards what it could not match looks cleaner and hides the population you most need to investigate.

The match method and confidence threshold are agreed in the scope document rather than being a black box.

Your source list and current schema, a free per-source feasibility assessment within 24 hours, a pilot in your target schema, then a parallel run of two to four weeks before you switch anything off.

We do not ask for access to your existing vendor's platform. Any vendor requesting competitor credentials during a migration is asking for something they should not have.

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

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1 min

★★★★★

"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

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2 min

★★★★★

"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."

Iulen Ibanez

CEO / Datacy.es

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1:30

★★★★★

"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."

Febbin Chacko

-Fin, Small Business Owner