What the Skip Tracing Working API does
Skip tracing is the process of locating a person who has "skipped" — moved without leaving a forwarding address or easy-to-find contact trail. Traditionally this was manual work: cross-referencing public records, utility databases, and consumer data brokers. The Skip Tracing Working API wraps that process into a set of REST endpoints that return people-search results programmatically, aggregating data from well-known sources including TruePeopleSearch, Fastpeoplesearch, Spokeo, Truthfinder, BeenVerified, PeopleLooker, and PeopleFinders.
The API is hosted on RapidAPI and is aimed at developers building internal tools or customer-facing products in industries where contact discovery matters: debt collection, real estate investor platforms, legal investigation software, and lead-enrichment pipelines.
Endpoint walkthrough
All six endpoints live under the /search/ path and use HTTP GET. Each one accepts a different type of identifying input.
Search by name — GET /search/byname
The most open-ended lookup. You supply a person's name and the API queries public records aggregators to return matching profiles. Useful when a name is all you have, though common names will naturally return more noise.
Search by address — GET /search/byaddress
Reverse-address lookup: given a street address, retrieve the individuals associated with it. The description explicitly compares the behavior to a manual TruePeopleSearch address query, so the result set should feel familiar if you have used that site.
Search by name and address — GET /search/bynameaddress
Combining name and address narrows results significantly and is the right call when you want to confirm a specific individual at a known location rather than explore all residents at an address.
Search by phone — GET /search/byphone
Reverse-phone lookup. Feed in a phone number and receive the associated person record(s). Handy for verifying caller identity or enriching a CRM record where a phone number already exists.
Search by email — GET /search/byemail
Reverse-email lookup. Given an email address, the API attempts to surface the owner's identity and contact details. Email lookups can be hit-or-miss depending on how widely the address appears in public data, but it fills an important gap when a phone number or address is unavailable.
Person details by ID — GET /search/detailsbyID
Once an initial search returns a profile, this endpoint lets you fetch expanded details — including email and phone — using the ID from that earlier result. This two-step pattern (search then detail fetch) is common in people-search APIs and keeps the high-cost detail fetch separate from the cheaper listing query.
The average response latency sits at 921 ms, which reflects real-time aggregation across multiple data sources. That is acceptable for backend enrichment jobs and operator-triggered lookups, but it would be noticeable in a synchronous UI without some loading state. The recorded average success rate is 100%, suggesting stable upstream integrations at the time of measurement.
Pricing breakdown
The API uses a freemium billing model with four tiers.
| Plan | Price/month | Included requests | Rate limit | Overage per request |
|---|---|---|---|---|
| BASIC | $0 | 100 | — | — |
| PRO | $12 | 2,500 | 5 / second | $0.0100 |
| ULTRA | $60 | 22,500 | 20 / second | $0.0070 |
| MEGA | $299 | 150,000 | 50 / second | $0.0020 |
The free BASIC tier gives you 100 requests per month. That is enough to validate the response structure, test your parsing logic, and run a small proof-of-concept, but it will be exhausted quickly in any realistic integration.
PRO at $12/month works out to roughly $0.0048 per request on the included quota, making it reasonable for low-volume use cases like a real estate investor running a few dozen lookups per week. If you exceed the 2,500 included calls, overage at $0.01 per request means costs can climb — 5,000 additional calls would add $50 on top of the $12 base.
ULTRA and MEGA reduce the overage rate meaningfully. At MEGA's $0.002 overage, even heavy usage stays predictable. MEGA is the marketplace's recommended tier, and at 150,000 included requests it suits teams running bulk enrichment pipelines — for example, processing a large portfolio of real estate leads or a debt servicer's account file.
Practical use cases
Debt collection: Servicers can feed debtor names, last-known addresses, or phone numbers into the API to surface updated contact information before making outreach attempts. The two-step search-then-detail pattern is a natural fit for batch processing account lists.
Real estate investing: Wholesalers and investors who need to contact property owners can reverse-lookup an address to find current residents, or search by owner name when county records provide it. The name-plus-address endpoint is particularly useful here.
Lead enrichment: Marketing and sales teams can append phone and email data to records that arrive with only partial information, improving outreach rates without manual research.
Investigative tools: Private investigators or legal support teams building case-management software can use the phone and email reverse-lookup endpoints to corroborate identity across multiple data points.
Things to check before integrating
Legal compliance is your responsibility. Skip tracing data touches on consumer privacy regulations including the FCRA (Fair Credit Reporting Act) in the United States. The API does not appear to be FCRA-certified, which means using it for credit, employment, housing, or insurance decisions could expose you to compliance risk. Confirm your use case is permissible under applicable law before going to production.
Response schema documentation. The publicly visible endpoint descriptions focus on what input each route accepts, not on the exact JSON fields returned. Before building production parsers, test each endpoint on BASIC to map the actual response structure.
Custom endpoints. The provider notes that custom endpoints are available on request via [email protected]. If you need a search vector not covered by the six standard routes, it is worth enquiring.
Overage costs at scale. If your usage is unpredictable, the PRO overage rate of $0.01/request can add up. Instrument your API call volume early and consider stepping up to ULTRA or MEGA proactively if you are regularly hitting overages.
Getting started
The API is available through RapidAPI; subscribe to the BASIC plan to begin without any upfront cost. If you prefer a no-code path, the provider also maintains an Apify actor at https://apify.com/one-api/skip-trace that wraps the same data and lets you export results to CSV or Excel without writing any code — useful for one-off lookups or for non-technical team members who need occasional access.
For developers, the workflow is straightforward: pick the appropriate search endpoint for the data you have, parse the returned profile list, and call /search/detailsbyID on the most relevant match to retrieve full contact details. Start on BASIC to confirm the data quality meets your needs before committing to a paid plan.