Reprompt

Reprompt

Verify live business status globally with deep research AI agents at scale.

60/100MonitorCustom pricingContact Sales

Reprompt delivers deep, verifiable location data at scale—its Deep Research agent beats GPT-5.5, o3-deep-research, Gemini 3.5 Flash, and Claude Opus 4.8 on hard places tasks, and the 220M+ business dataset with 50 attributes is a solid foundation. But it's contact-sales only with no free tier, so smaller teams will face friction. If you need live business status and KYB-grade verification, it's worth the sales call.

Verified 8d ago · liveness 60/100 · cite: rightaichoice.com/tools/reprompt

Best for
  • Fintech companies needing automated KYB checks on 200M+ businesses
  • Last-mile delivery services optimizing routes with building entrance data
  • Location service providers requiring live business verification at scale
  • Retail and advertising firms for merchant attribute correction
Not ideal for
  • Individual developers needing a free tier for small projects
  • Users requiring simple address lookup without deep verification
  • Teams without budget for enterprise sales cycle (no self-serve pricing)
Visit Website

IntermediateFor technical teams, you can get a demo and API keys within a week of contacting sales. Uploading your data to a private tenant takes a few hours, and running your first deep research query is immediate. Full integration into production workflows typically takes 2–4 weeks.Web · APIAPI availableVerified 8d ago
Pricing
Custom pricing
Contact Sales4 hidden costs
Learning curve
Intermediate
For technical teams, you can get a demo and API keys within a week of contacting sales. Uploading your data to a private tenant takes a few hours, and running your first deep research query is immediate. Full integration into production workflows typically takes 2–4 weeks.
Runs on
WebAPI
API available · 2 integrations
Who it's for
KYB analyst at a fintechData engineer at a last-mile delivery startupProduct manager at a location data provider
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.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip Reprompt if you are a small team needing a self-serve free tier or simple address lookup—this is an enterprise platform with contact-sales pricing and requires API integration.

The 30-second take
Biggest gripe

Reprompt is contact-sales only, so you'll negotiate pricing—expect a significant annual contract and no free tier to test with.

Price reality

Reprompt's pricing is custom and enterprise-focused, so it suits organizations with six-figure data budgets. Compared to cheaper self-serve alternatives like SafeGraph (which offers free tiers) or Foursquare (usage-based), Reprompt justifies its cost with deep verification and a 220M+ record dataset. For startups, the lack of self-serve may be prohibitive.

In short

Reprompt — Verify live business status globally with deep research AI agents at scale. Best for Fintech companies needing automated KYB checks on 200M+ businesses, Last-mile delivery services optimizing routes with building entrance data, Location service providers requiring live business verification at scale. Contact Sales pricing.

What's new in Reprompt

Checked 5 days ago

Across the latest 3 updates: 1 feature update, 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
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: August 2026

How we score →

Key Features

  • Deep Research agent for live business status verification
  • Proprietary database of 220M+ global business records
  • 50 enrichment attributes: location, operating status, formation date
  • Real-time open/closed status tracking from live sources
  • KYB and fraud verification with confidence scores
  • MCC and brand matching across 100K+ verified chains
  • Building entrance data: parking, building type, access restrictions
  • Custom attribute creation for proprietary business research
  • AI Table for dataset cleaning and web research enrichment
  • Search API for raw search results
  • Ask API for fast cited answers
  • Private data tenant for uploading and enriching user datasets
  • Access to social, web, and government filings
  • Web, social, and news source integration

About Reprompt

Contact SalesIntermediateAPI availableWeb · API

Reprompt is an AI-powered platform that verifies the live status and identity of businesses worldwide. It taps into web, social, government, and news sources to answer nuanced questions—like whether a place is permanently closed, franchise-owned, or a short-term rental. Built for enterprises (fintech, last-mile delivery, location services, retail, advertising, travel), it sits on a proprietary dataset of 220M+ businesses with 50 enrichment attributes, from operating status to formation dates. You can upload your own data into a private tenant, then run deep research queries or use the AI Table to clean and augment datasets—no need to switch contexts. The platform also offers real-time open/closed tracking, KYB and fraud verification with confidence scores, and MCC and brand matching across 100K+ verified chains. Beyond the core, Reprompt recently launched entrances data with structured metadata on parking, building type, and access restrictions—directly optimizing delivery fleets. The new Search and Ask APIs expose raw search results and fast cited answers, making it easy to embed these capabilities into your own workflows. In head-to-head benchmarks, Reprompt's Deep Research agent outperformed GPT-5.5, o3-deep-research, Gemini 3.5 Flash, and Claude Opus 4.8 on hard places research, especially in tough geographies like Southeast Asia. For teams needing deep, verifiable location intelligence at scale, this is a serious contender—though it's contact-sales only and not self-serve.

Behind the Verdict

Reprompt is built for enterprises that treat location data as mission-critical—think fintech doing KYB, delivery fleets optimizing routes, or advertising platforms cleaning merchant attributes. The proprietary dataset of 220M+ businesses with 50 enrichment attributes, including real-time open/closed status from web, social, and government filings, gives it a strong edge for deep verification tasks. The Deep Research agent, which beats top-tier models like GPT-5.5 and Claude Opus 4.8 on hard places research, demonstrates serious technical chops, particularly in tricky geographies like Southeast Asia. Where Reprompt really shines is the AI Table feature, which lets you upload messy datasets and enrich them with web research—no coding required. This is a practical, time-saving tool for data teams. The new Search and Ask APIs (launched July 2026) make it easy to embed Reprompt's capabilities into existing workflows, a clear move toward agentic integration. The entrances data launch (February 2026) is another differentiator, giving delivery companies metadata on parking, building type, and access restrictions that most competitors lack. That said, Reprompt is not for the faint of heart. There's no self-serve pricing or free tier—you need to book a call and navigate an enterprise sales cycle. This will be a blocker for small teams or individual developers who just need a simple address lookup or occasional verification. Also, the platform is cloud-only; there's no offline or desktop option, which could limit some use cases. Compared to alternatives like SafeGraph or Foursquare, Reprompt offers a more research-driven, AI-first approach, but those competitors provide self-serve access and clearer pricing. If you need deep, live business verification with a research twist,

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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.

KYB analyst at a fintech

On day one, you upload a batch of merchant IDs to a private tenant, then run the Deep Research agent to verify operating status and ownership. You get confidence scores for each business, flagging high-risk accounts for manual review within minutes.

Outcome: Automated KYB checks reduce false positives and manual research time by 80%.

Data engineer at a last-mile delivery startup

You integrate the entrances API to pull building type, parking, and access restrictions for delivery points in a major city, then feed that into your routing engine to optimize drop-off efficiency.

Outcome: Fewer failed deliveries and more efficient routes, reducing operational costs.

Product manager at a location data provider

You use the Search API to query raw business statuses across Southeast Asia, then use the Ask API to get cited answers on which stores are permanently closed. You build a custom dataset to sell to mapping clients.

Outcome: Launch a new data product with live, verifiable business status in weeks.

Use Cases

Models Under the Hood

GPT-5.5o3-deep-researchGemini 3.5 FlashClaude Opus 4.8

as of 2026-08-19

Limitations

  • Pricing is contact-only, no free tier.
  • The platform requires integration via API, which may be complex for non-technical users.
  • Depth of research depends on publicly available sources; some attributes may have coverage gaps in certain regions.
  • No self-serve onboarding.

as of 2026-08-07

Verification history

We have re-verified Reprompt 5 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

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.

  • Reprompt is contact-sales only, so you'll negotiate pricing—expect a significant annual contract and no free tier to test with.
  • API integration requires technical resources; if you don't have an in-house data team, you may need to hire consultants, adding to total cost.
  • Some attributes (e.g., outdoor seating) depend on public sources; coverage gaps in certain regions may require manual data collection or additional paid sources.
  • Scaling usage to 220M+ business records may incur overage charges, but specific rates are only disclosed in the sales contract.

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's pricing is custom and enterprise-focused, so it suits organizations with six-figure data budgets. Compared to cheaper self-serve alternatives like SafeGraph (which offers free tiers) or Foursquare (usage-based), Reprompt justifies its cost with deep verification and a 220M+ record dataset. For startups, the lack of self-serve may be prohibitive.

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 technical teams, you can get a demo and API keys within a week of contacting sales. Uploading your data to a private tenant takes a few hours, and running your first deep research query is immediate. Full integration into production workflows typically takes 2–4 weeks.

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 out
  • To SafeGraph: If you need self-serve pricing and simpler datasets, you can export your Reprompt data and migrate to SafeGraph's Places schema, though you'll lose deep research capabilities.

Integrations

ESRI ArcGISFoursquare

Resources & Guides

Tutorials & Learning

Official links

Tools that pair well with Reprompt

Common stack mates teams adopt alongside Reprompt, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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