Reprompt

Reprompt

Deep research AI agents that verify live business status and identity for enterprises where location accuracy decides the outcome.

60/100MonitorCustom pricingContact Sales

If your product breaks when a business closes or a storefront moves, Reprompt is one of the few platforms built specifically for that failure mode — 220M+ records, 50 attributes, 100K+ verified chains, and a Deep Research agent that benchmarks ahead of GPT-5.5, Gemini 3.5 Flash, and Claude Opus 4.8 on hard location research. The July 2026 Search and Ask APIs and the AI Table make it usable inside your own pipelines rather than as a standalone lookup. It's enterprise-only with no self-serve tier, so budget for a sales cycle. Small teams and simple address lookups should look at a cheaper geocoding or POI API instead.

Verified 23d ago · liveness 60/100 · cite: rightaichoice.com/tools/reprompt

Best for
  • Fintech teams running automated KYB that need physical-presence verification beyond registries
  • Last-mile delivery fleets optimizing routes with parking, building type, and access restriction data
  • Location services and mapping products needing live business status at global scale
  • Retail and advertising firms correcting merchant attributes, MCC, and brand matching
Not ideal for
  • Individual developers or small teams wanting a self-serve or free tier
  • Teams needing simple address lookup or single geocoding instead of deep verification
  • Teams without the budget or patience for an enterprise sales cycle
Visit Website

IntermediateFor a data engineer with API access, first enrichment calls can land within a day of credentials. For a fintech or delivery team wiring the AI Table or Search/Ask APIs into a production pipeline, plan on a few days of integration plus schema work for custom attributes. Non-technical buyers should assume the demo and sales cycle dominates the timeline — there is no self-serve path to first value.Web · APIAPI availableVerified 23d ago
Pricing
Custom pricing
Contact Sales2 hidden costs
Learning curve
Intermediate
For a data engineer with API access, first enrichment calls can land within a day of credentials. For a fintech or delivery team wiring the AI Table or Search/Ask APIs into a production pipeline, plan on a few days of integration plus schema work for custom attributes. Non-technical buyers should assume the demo and sales cycle dominates the timeline — there is no self-serve path to first value.
Runs on
WebAPI
API available · 1 integrations
Who it's for
Fintech KYB analystLast-mile delivery operations leadLocation data engineer
Live sentiment
Is Reprompt actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

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  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip Reprompt if you need a free self-serve tier or simple address lookup rather than cited live-status verification, or if your team can't absorb an enterprise demo-and-sales cycle before writing any code.

The 30-second take
Biggest gripe

There is no free tier and no published pricing, so the sales cycle itself is the first cost — expect a demo, scoping, and contract review before you can evaluate on real data.

Price reality

Reprompt is priced for enterprise data, fintech, and logistics teams with a real budget and a compliance or routing reason to buy — the same tier of buyer as a commercial places-data contract. Teams that only need occasional address lookup should use a low-cost geocoding API; teams that need broadly licensed POI at volume should compare a general places API on coverage cost. Reprompt's premium buys verifiable live status and citations, not cheap rows.

In short

Reprompt — Deep research AI agents that verify live business status and identity for enterprises where location accuracy decides the outcome. Best for Fintech teams running automated KYB that need physical-presence verification beyond registries, Last-mile delivery fleets optimizing routes with parking, building type, and access restriction data, Location services and mapping products needing live business status at global scale. Contact Sales pricing.

What's new in Reprompt

Checked 9 days ago

Across the latest 2 updates: 1 launch and 1 news mention.

What people actually say about Reprompt — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

37 mentions across 4 sources (Hacker News, YouTube, GitHub, Lemmy) · researched Aug 1, 2026.

25% positive75% critical

Average across the 4 sources that answered — each source counts once, not each post.

Recurring strengths
  • +AI agents research live business status across web, social, government sources.
  • +Proprietary dataset of 220M+ businesses with 50 enrichment attributes.
  • +Real-time open/closed tracking from multiple live sources for accurate updates.
  • +KYB and fraud verification with confidence scores for risk checks.
  • +Building entrance data specifically useful for last-mile delivery optimization.
Recurring frustrations
  • −Name association with Copilot security attack undermines brand trust.
  • −No direct user reviews or testimonials found across any community.
  • −Limited integration options — only ESRI ArcGIS and Foursquare mentioned.
  • −Pricing is opaque; no public tiers or cost benchmarks for planning.
  • −May be overkill for small businesses needing basic location data.
Patterns worth knowing
Name confusion with the Copilot 'Reprompt' attack dominates all recent mentions, painting the product negatively.
Seen on YouTube, Lemmy
The term 'reprompt' is discussed as a general AI workflow pain point, not specific to this tool, leading to off-topic chatter.
Seen on Hacker News, Lemmy
Positive buzz only from a GitHub side-project with similar name, unrelated to the actual platform.
Seen on GitHub
Learning curve
intermediateProductive in ~A few hours to integrate API
Hidden costs people mention
  • • No public pricing means potential surprise costs for data volume or API usage.
  • • May require minimum contract terms typical of enterprise data providers.

Viability Score

60/100
Monitor

How well maintained and how widely used is Reprompt? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
100
Site health
95
User sentiment
25
What the vendor publishes
0

Last calculated: October 2026

How we score →

Key Features

  • Deep Research agents verify live business status from web, social, government, and news sources
  • Proprietary database of 220M+ global business records across countries and categories
  • 100K+ verified chains for brand-level matching
  • 50 enrichment attributes: location, operating status, formation date, MCC, and brand
  • Real-time open/closed status tracking from live sources
  • KYB and fraud verification with confidence scoring (Business Identity, KYB & Risk, Location Attributes, Overall Verification)
  • Building entrance data: parking, building type, access restrictions
  • Custom attributes for proprietary business research (e.g., short-term rental, franchise-owned, drive-through, outdoor seating)
  • AI Table enriches any uploaded dataset with deep web research in place
  • Search API returns raw search results for agent workflows
  • Ask API returns fast answers with citations
  • Private tenant for uploading and enriching your own business data
  • Real-time enrichment API plus batch enrichment for large datasets
  • Webhooks for automated enrichment pipelines
  • Geocoding of addresses to precise coordinates and gap-filling for missing phone numbers, emails, and websites

About Reprompt

Contact SalesIntermediateAPI availableWeb · API

Reprompt runs deep research AI agents that check the live status of physical businesses across web, social, government, and news sources. Instead of trusting a stale POI file that says a restaurant is open, you can ask whether it's permanently closed, franchise-owned, a short-term rental, shell-company flagged, or owned by a parent company — and get a cited answer. You upload your own data into a private tenant, then enrich it inside the AI Table without leaving the platform, or define custom attributes for questions specific to your business. Under the hood it pairs a proprietary database of 220M+ business records and 100K+ verified chains with 50 enrichment attributes covering location, operating status, formation date, MCC, and brand. The July 27, 2026 Search and Ask APIs expose raw search results and fast cited answers so teams can embed location intelligence into their own agent workflows; February 2026 introduced building entrance data — parking, building type, access restrictions — the details routing engines need to drop a package at the right door. In benchmarks on hard places research, Reprompt's agents outperformed GPT-5.5, Gemini 3.5 Flash, and Claude Opus 4.8, with a noted edge in Southeast Asia. The catch is access: it's contact-sales only, so this is a platform you evaluate with a demo, not a credit card.

Behind the Verdict

Reprompt's pitch is narrow and specific, which is a good sign: it is not trying to be a general AI assistant, it is trying to answer the question 'is this business actually operating, and who is behind it?' That question breaks fintech KYB flows, last-mile routing, ad targeting, and travel listings in ways that a static POI file cannot fix. The core assets are a proprietary database of 220M+ business records and 100K+ verified chains, 50 enrichment attributes (location, operating status, formation date, MCC, brand), and a Deep Research agent that reads web, social, government, and news sources to produce cited answers rather than guesses. Strengths: the AI Table lets you upload your own dataset into a private tenant and enrich it in place with deep web research, and custom attributes let you ask questions specific to your business — whether a business is a short-term rental, franchise-owned, has a drive-through, or is in good standing. The Search API returns raw search results and the Ask API returns fast cited answers, both launched July 27, 2026, so you can embed this into your own agent workflows rather than treating it as a dashboard. Building entrance data — parking, building type, access restrictions — is the kind of detail routing engines actually need and most POI vendors skip. Reprompt reports benchmarks where its agents outperform GPT-5.5, Gemini 3.5 Flash, and Claude Opus 4.8 on hard places research, with a notable edge in Southeast Asia. Weaknesses: pricing is contact-only, there is no free tier, and there is no self-serve onboarding — you evaluate with a demo. Integration is API-first, which is fine for a data team and a hurdle for a non-technical user. Depth of research depends on publicly available sources, so some attributes will have coverage gaps in regions with thin public records. And it is a cloud platform only; there is no offline or desktop-embedded option. Where it fits: fintech KYB teams that need physical-presence verification beyond a registry check, last-mile fleets optimizing entries and access restrictions, location and mapping products that need live status at global scale, retail and advertising teams correcting MCC and brand attributes, and data teams embedding the enrichment and Search/Ask APIs into agent pipelines. Where it doesn't: solo developers wanting a free tier to experiment, anyone needing simple geocoding or address lookup, and buyers who want cheap broad POI coverage rather than verifiable live status on hard geographies.

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Real-world workflow fit

Concrete scenarios for the personas Reprompt actually fits — and what changes day-one when you adopt it.

Fintech KYB analyst

Load a batch of merchant onboarding records into the AI Table, run KYB checks against the 220M+ business database, and let Deep Research verify physical presence at the claimed address and flag shell company indicators.

Outcome: Each merchant gets business identity, KYB/risk, and location attribute confidence scores with cited sources, so the analyst escalates only the genuinely ambiguous cases instead of manually checking registries.

Last-mile delivery operations lead

Enrich the delivery point-of-interest file with building entrance attributes — parking, building type, access restrictions — and pull live open/closed status so the routing engine stops sending drivers to shuttered locations.

Outcome: Routes resolve to the correct door and dead stops drop out of the dispatch plan, cutting failed-delivery attempts on hard urban geographies.

Location data engineer

Embed the Search API for raw results and the Ask API for cited answers directly into an internal agent pipeline, and register webhooks so enrichment jobs fire automatically as source data changes.

Outcome: The team ships location intelligence inside its own product without maintaining a separate research UI, and custom attributes cover questions the standard 50 attributes don't.

Use Cases

Models Under the Hood

GPT-5.5Gemini 3.5 FlashClaude Opus 4.8

as of 2026-09-24

Limitations

  • Pricing is contact-only with no free tier and no self-serve onboarding; you start with a demo, not a credit card.
  • The platform is API-first, which adds integration work for non-technical teams.
  • Depth of research depends on publicly available web, social, government, and news sources, so some attributes will have coverage gaps in regions with thin public records.
  • It is a cloud platform only — no offline or desktop-embedded option.
  • Buyers who want cheap, broad POI coverage rather than verifiable live status on hard geographies should look at a general geocoding or places API instead.

as of 2026-09-15

Verification history

We have re-verified Reprompt 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 7 verification passes.

Free to cite with attribution — this page re-verifies continuously.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • There is no free tier and no published pricing, so the sales cycle itself is the first cost — expect a demo, scoping, and contract review before you can evaluate on real data.
  • Batch enrichment of large datasets and real-time API lookups are separate paths, so pushing meaningful volume through the platform is a negotiated committed-spend conversation rather than a metered self-serve bill.

Where the pricing makes sense

The company stage and team size where Reprompt's pricing actually pencils out — and where peers do it cheaper.

Reprompt is priced for enterprise data, fintech, and logistics teams with a real budget and a compliance or routing reason to buy — the same tier of buyer as a commercial places-data contract. Teams that only need occasional address lookup should use a low-cost geocoding API; teams that need broadly licensed POI at volume should compare a general places API on coverage cost. Reprompt's premium buys verifiable live status and citations, not cheap rows.

Setup time & first value

How long it actually takes to get something useful out of Reprompt — broken out by persona, not the marketing-page minute.

For a data engineer with API access, first enrichment calls can land within a day of credentials. For a fintech or delivery team wiring the AI Table or Search/Ask APIs into a production pipeline, plan on a few days of integration plus schema work for custom attributes. Non-technical buyers should assume the demo and sales cycle dominates the timeline — there is no self-serve path to first value.

Switching to or from Reprompt

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From a static POI or places file: upload the dataset into a private tenant and enrich it in the AI Table with live status, MCC, and brand attributes.
  • →From registry-only KYB checks: add physical-presence verification and shell company indicators on top of your existing registry lookups.
  • →From general-purpose research agents: route hard location questions to Reprompt's Deep Research agent via the Ask API for cited answers.
Migrating out
  • ↗To a low-cost geocoding or places API: if you only need address lookup and broad POI coverage rather than verified live status.
  • ↗To a general-purpose LLM research agent: if your questions are not location-specific and you don't need cited business status at global scale.

Integrations

ESRI ArcGIS

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Reprompt”, and we withheld 6: 6 could not be judged, because “Reprompt” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Reprompt.

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