Scarf is excellent at privacy-first, company-level analytics for open-source package downloads — with zero PII by design. DataForGTM solves a different problem: it resolves a GitHub username to the real person's LinkedIn and surfaces developer-level intent, as an agent-callable API.
Scarf tells you which companies are pulling your container images and packages, anonymously and by design. That is the right tool if your job is understanding adoption while storing no personal data.
DataForGTM is for the next step: when you have a developer's GitHub identity and want to know who that person is and whether they are showing buying signals. The core endpoint, POST /api/v1/deanon, takes a GitHub username and returns a LinkedIn profile with a confidence score — charged 2 credits (~$0.30) only on a hit, free on a miss. There is no dashboard and no subscription; every action is a tool your AI agent calls.
| Capability | DataForGTM | Scarf |
|---|---|---|
| Person-level GitHub username → LinkedIn | Yes, as an API | No — company-level only, no PII |
| Stores personal data (PII) | Yes (that is the product) | No, privacy-first by design |
| Package / image download analytics | No | Yes — its core strength |
| Developer & company intent signals | Yes (GitHub buying signals) | Partial, company-level adoption only |
| Agent-native MCP / OpenAPI, bearer key | Yes | No |
| Pricing model | Prepaid, pay-per-resolve (~$0.30/hit) | Free tier + paid plans for analytics |
If you already run Scarf for anonymous adoption analytics, DataForGTM is complementary, not a replacement: Scarf shows the account-level demand, DataForGTM helps you put a name to an individual developer once you have their GitHub handle.
curl -X POST https://dataforgtm.ai/api/v1/deanon \
-H "Authorization: Bearer $DATAFORGTM_API_KEY" \
-H "Content-Type: application/json" \
-d '{"githubUser":"torvalds"}'A successful resolution costs 2 credits (~$0.30); misses are free. Start a trial and get a key via POST /api/v1/signup.
Choose Scarf, not DataForGTM, when you want privacy-first, company-level analytics on package and container-image downloads and you specifically do not want to collect or store any PII. Scarf is purpose-built for that: it gives open-source maintainers and DevTool companies anonymous adoption telemetry without the compliance surface of personal data. DataForGTM only makes sense once you have a developer's GitHub identity and a legitimate reason to resolve it to a person.