Reverse Contact's current site describes a B2B data API: person and company search, enrichment, LinkedIn-based profile fetching, and licensed datasets, delivered via API, CSV, webhooks, or MCP for AI agents. That's a meaningfully different pitch than the consumer-facing "paste an email, get a profile" tool this brand was marketing not long ago, and this review is based on what's live on reversecontact.com now, not the older positioning.
| Best for | Data/RevOps teams and AI builders needing programmatic person and company data |
| Starting price | $100 in pay-as-you-go API credits, or $1,000/month for the cheapest dataset tier |
| Real cost | Per-credit cost isn't published; self-serve entry is effectively a few hundred dollars minimum, datasets start at $1,000/month and scale to $8,000/month |
| Setup speed | API access is self-serve after signup; datasets and annual plans require a sales conversation |
| Standout feature | MCP support and webhook-based change detection for automation-first teams |
| Biggest caveat | No published per-unit pricing, no free trial beyond a 7-day evaluation, and no independent review data exists yet |
| Third-party rating | None found — no G2, Trustpilot, or Capterra profile with a meaningful review count, and no Reddit threads mentioning the product by name |
Reverse Contact positions itself as an identity-resolution and enrichment layer: you send it an email, a LinkedIn URL, or a name/company pair, and it returns structured person or company data pulled from public web sources. Separately, it sells pre-built datasets (companies, employees, job postings) as monthly data feeds rather than API calls, aimed at teams that want to load a whole dataset into a warehouse instead of enriching record by record.
The customer quotes on its own site (Gitpod, Lantern, lemlist) describe it as an internal data layer inside other products' RevOps and identity-resolution workflows, which fits a B2B infrastructure vendor more than a self-serve SaaS tool a solo marketer would sign up for on a whim.
Sign-up gets you a 7-day evaluation with cached, rate-limited results, useful for confirming match quality before spending money. From there, the API supports synchronous person/company lookups plus an async "live" fetch mode for fresher data, webhooks for asynchronous processing, bulk CSV enrichment for backfills, and an MCP endpoint so AI agents can query it directly as a tool. None of this requires touching DNS or infrastructure the way cold-email tooling does — it's a straightforward request/response API plus a documentation portal.
For teams that don't want to build against an API at all, the dataset product ships a refreshed extract monthly to a destination like Snowflake, BigQuery, or S3, with schema docs included.
| Plan | Price | What you get |
|---|---|---|
| Evaluation Access | Free | 7 days, cached results, limited rate limit |
| Pay-as-you-go Credits | $100 to start | Live resolution, 12-month credit validity |
| Annual (High Volume) | Custom | High rate limits, SLA, priority support |
| Companies Dataset | $1,000/month | Monthly refresh, JSON/Parquet |
| Employees Dataset | $2,000/month | Job + company context |
| Jobs Dataset | $3,000/month | Structured postings for intent signals |
| Full Datasets (Global) | $8,000/month | All three layers bundled |
The honest gap here: Reverse Contact does not publish what a credit costs or how many credits $100 buys, on either the marketing pricing page or the public docs we could reach. That's unusual for a self-serve API and means you can't model your real cost per enriched record without opening an account or talking to sales. If your comparison shopping depends on knowing the price per lookup up front, budget time for that conversation rather than assuming a number.
We could verify the plan names, starting prices, feature lists, delivery methods, and compliance claims directly from the live marketing site, pricing page, and public docs. We could not verify per-credit pricing, actual match-rate performance in practice, or uptime beyond the vendor's own stated 98.2% figure.
More importantly for anyone comparing tools: there is no independent review base to draw on. No G2 or Capterra profile with a real review count turned up, Trustpilot has nothing under this name, and there's no meaningful Reddit discussion (r/sales, r/recruiting, or elsewhere) mentioning Reverse Contact by name. That's not itself disqualifying for a newer B2B API business — plenty of infrastructure vendors sell entirely through direct sales relationships before building a public review footprint — but it means any claim about deliverability, match quality, or support quality in the market right now would have to come from the vendor itself, so we're not going to manufacture a sentiment section that doesn't exist. Treat the case studies on Reverse Contact's own site as vendor-selected testimonials, not independent evidence.
Pros
Cons
Reverse Contact competes in B2B data enrichment and identity resolution, a crowded field with both self-serve and enterprise players:
Good fit: data engineering or RevOps teams that want to build enrichment into their own product or pipeline, companies already running MCP-based AI agents that need a data tool to call, and buyers who need a licensed dataset rather than per-record API calls.
Poor fit: solo founders or small sales teams looking for a cheap, transparent, self-serve monthly plan — the pricing model here assumes a sales conversation and a real budget, and there's no public evidence yet on how it performs against better-reviewed, cheaper enrichment tools at small scale.
Free / 7 days
$100 / one-time, credits valid 12 months
Custom / year
$1,000 / month
$2,000 / month
$3,000 / month
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