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 (developer vs. politician, lawyer, or anyone in a different field) 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 per match, 3 with work email, misses free.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. Returns signal volume and recency. Run De-anonymization on the result to get identities.free
company_intent LIVERolls up developer-level GitHub signals by employer to produce a ranked account list ordered by engineering-team buying intent. Score aggregates signal volume, recency, and breadth of team participation.free
company_intel LIVEStructured company profile from public GitHub org activity — team size and seniority distribution, active tech stack from repo languages and topics, open-source footprint, hiring signals from contributor patterns.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 — stack overlap, team size bracket, growth indicators, category behavior. Auditable, not a black box.free
usage LIVECheck prepaid credit balancefree
credits_checkout LIVETop up credits — returns a Stripe payment URLfree
signup LIVESelf-serve trial — returns bearer API key via magic linkfree
dossier LIVEDeep developer profile per GitHub user — influence tier, activity cadence, role signal, tech stack, top starred repos, followers, and social graph. Context an SDR would spend an hour assembling, in one call. Add it to any deanon call or pull it standalone — charged even when no LinkedIn is found, since it's GitHub-derived.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
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
You pay only when an identity resolves. Detection and qualification are always free — the pipeline pays for itself on the contacts worth reaching.
MCP client Claude Desktop · Cursor · Windsurf · Cline
Get a free key above, then add the MCP server: https://dataforgtm.ai/api/mcp
$ help --all-tools
── detect
developer_intent LIVEAnonymous count of devs showing GitHub buying signals for a repo, company, or category — stars, forks, issues, PRs. Signal volume + recency. No PII. Free.
company_intent LIVERolls up dev signals by employer. Ranked account list ordered by engineering-team buying intent — surfaces which companies are worth pursuing first. Free.
── qualify
score_against_icp LIVEScores a company against your stored ICP. Returns numeric fit + the specific signals that drove it — stack overlap, team size, growth indicators. Gate your identity budget on high-fit accounts. Free.
company_intel LIVEAnalyst-grade company profile from public GitHub org — team size, seniority distribution, active tech stack, open-source footprint, hiring signals. One call, no scraping. Free.
── identify
deanonymize LIVEGitHub username → LinkedIn. Multi-stage identity validation — career trajectory, professional context, industry signals. Same-name collisions engineered out. 90%+ precision. 2 credits/match · 3 with work email · misses free.
deanonymize_batch LIVEResolve up to 100 usernames in one call. Same pipeline, same outcome billing. 2 credits/match · misses free.
dossier LIVEDeep developer profile per GitHub user — influence tier, activity cadence, role signal, tech stack, top starred repos, followers, social graph. The context an SDR spends an hour assembling, in one call. Add it to any deanonymize call or pull it standalone. 1 credit · charged even on a LinkedIn miss (it's GitHub-derived).
── manage
signup / usage / credits_checkout LIVETrial key, balance check, Stripe top-up — all tool calls, all in chat. Free.
── coming soon
contributor_affiliation SOONEvery contributor to a repo, resolved to LinkedIn at scale.
watch_org SOONReal-time feed — notified the moment devs start evaluating your tech.
email_resolve SOONReverse email → GitHub → LinkedIn. The missing link for inbound enrichment.
technographics SOONStack-level company signals from GitHub activity.
$ cat pricing.txt
modelprepaid credits · no subscription
identity match2 credits ($0.30)
match + work email3 credits ($0.45)
deep dossier1 credit ($0.15) · add-on or standalone
missfree(dossier still 1cr — GitHub-derived)
intent / intel / ICPalways free
min top-up$49 via Stripe · agent calls credits_checkout
$ 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
❌
❌
❌
$ ls ./roadmap/
Expanding the runtime. Sign up now — early access as new tools ship.
contributor_affiliation SOON
Every contributor to a repo, resolved to LinkedIn at scale.
watch_org SOON
Real-time feed — notified when devs evaluate your tech.
email_resolve SOON
Reverse email → GitHub → LinkedIn for inbound enrichment.
technographics SOON
Stack-level company signals from GitHub activity.
$ faq --expand-all
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. The whole pipeline runs on demand, per request. You pay only for successful resolves.
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.
No. DataForGTM is agent-first — every action is a tool call your AI agent makes on demand. No dashboard to log into, no seat to buy, no demo to sit through. A magic-link email activates your trial key. Your agent calls the tools; the pipeline runs; you get results.
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. LeadCognition owns the workflow; DataForGTM gives your agent the raw tools to own it. They share the same underlying GitHub signal layer — DataForGTM is the self-serve, agent-native surface of that data.
Outcome-based: you pay per successful resolve, not for platform access. Prepaid credits via Stripe — your agent calls credits_checkout and gets a payment link. Minimum $49 top-up. Misses don't cost anything. Free tools (developer_intent, company_intent, score_against_icp) are always free.
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.