The GTM data runtime for AI agents — GitHub identity, developer intent, company signals, one MCP endpoint.
Tools
De-anonymization LIVEMulti-stage identity validation pipeline — doesn't just find a LinkedIn profile that fits, actively confirms it's the same human: career trajectory, professional context, industry signals. Same-name collisions are engineered out before a match is returned. 90%+ precision.2 credits/match · 3 with work email · misses free
deanon_batch LIVEResolve up to 50 usernames in one call. Same multi-stage validation, same billing.2 credits/match · 3 with work email · misses free
developer_intent LIVEAnonymous count of developers showing GitHub buying signals at a company, repo, or category — stars, forks, issue opens, PR submissions against target technology.free
company_intent LIVERolls up developer-level GitHub signals by employer to produce a ranked account list ordered by engineering-team buying intent.free
company_intel LIVEStructured company profile from public GitHub org activity — team size, active tech stack, open-source footprint, hiring signals.free
score_against_icp LIVEScores a company or developer against a stored ICP definition. Returns numeric fit score and the specific signals that drove it.free
usage LIVECheck prepaid credit balance.free
credits_checkout LIVETop up credits — returns a Stripe payment URL.free
signup LIVESelf-serve trial — returns bearer API key via magic link.free
dossier LIVEDeep developer profile per GitHub user — influence tier, activity cadence, role signal, tech stack, top starred repos, followers, social graph.1 credit
contributor_affiliation SOONFind every developer who contributed to a repo, resolve LinkedIn at scale.
watch_org SOONReal-time signal feed — notified when developers evaluate your tech.
[No SDR. No subscription. · outcome-based · pay per lead]
Your best leads are already on GitHub. Most tools can't tell you who they are.
We don't just identify them — we detect intent, score ICP fit, resolve identity, and hand your agent a meeting-ready contact. Full pipeline, not a lookup. Pay per outcome, no subscription.
deanonymize_batchup to 100 at once · same precision$0.30 / match · misses free
dossierdeep dev profile — add-on or standalone · charged even on a miss$0.15 / dossier
$ help --all-tools
De-anonymizationMulti-stage identity validation pipeline — doesn't just find a LinkedIn profile that fits, actively confirms it's the same human: career trajectory, professional context, industry signals. Same-name collisions are engineered out before a match is returned. 90%+ precision.
deanon_batchResolve up to 50 usernames in one call. Same multi-stage validation, same billing.
developer_intentAnonymous count of developers showing GitHub buying signals at a company, repo, or category — stars, forks, issue opens, PR submissions against target technology.
company_intentRolls up developer-level GitHub signals by employer to produce a ranked account list ordered by engineering-team buying intent.
company_intelStructured company profile from public GitHub org activity — team size, active tech stack, open-source footprint, hiring signals.
score_against_icpScores a company or developer against a stored ICP definition. Returns numeric fit score and the specific signals that drove it.
$ diff --vs-competitors
Capability
DataForGTM
LeadCognition
reo.dev
Scarf
Apollo / ZoomInfo
GitHub → LinkedIn (API)
✅ as an API
✅ in-app + API
In-platform only
❌ company-only
❌
Developer intent signals
✅
✅
✅ (platform)
Partial
❌
ICP scoring
✅
✅
❌
❌
Partial
Self-serve · no demo
✅
✅
❌
✅
❌
No seat required
✅
❌
❌
✅
❌
Pay per resolve (no seat)
✅
Platform seat
❌
❌
❌
$ faq --expand-all
>How does this help me book more meetings?+×
Every contact DataForGTM returns was already evaluating you — no cold outreach, no list buying. Your agent detects companies active on GitHub in your category, filters to ICP fit, resolves the specific developers to LinkedIn with full professional context, then hands you a meeting-ready list with outreach angles. You pay only for successful resolves.
>Can I find a developer's LinkedIn from their GitHub username?+×
Yes. The deanonymize tool resolves via multi-stage identity validation — career trajectory, professional context, industry signals confirm it's the same person. Charged only on success — misses are free.
>Is there a dashboard?+×
No. DataForGTM is agent-first — every action is a tool call your AI agent makes on demand. No dashboard, no seat, no demo. A magic-link email activates your trial key.
>How is this different from LeadCognition?+×
LeadCognition is a platform — you log in, browse a dashboard, buy a seat. DataForGTM is an API your AI agent calls directly. No seat, no login, no sync. They share the same underlying GitHub signal layer.
>How does pricing work?+×
Outcome-based: you pay per successful resolve, not for platform access. Prepaid credits via Stripe — minimum $49 top-up. Misses don't cost anything. developer_intent, company_intent, and score_against_icp are always free.
>What's the difference between developer_intent and company_intent?+×
developer_intent: anonymous count of devs evaluating a tech (no PII). company_intent: same signals rolled up by employer to rank accounts. Use both: find hot accounts free, then resolve the developers worth contacting.