Predator Closing Engine.
Inbound attention isn't the goal. Closed deals are. Pyxym's closing engine runs autonomously — intent detection → product match → multi-turn conversation → conversion flow — all before a human picks up the keyboard.
Pyxym adapts to YOUR sales infrastructure. Not the opposite.
- 01Intent Detection
Lead scoring + intent classification on every inbound social signal — DM, comment, mention, reply, share.
SalesIntentEngine · LeadIntentScoringService · 15 Community services - 02Multi-Turn Conversation
Autonomous multi-turn engagement — emotion detection, objection handling, negotiation. Not a chatbot — a closer.
SalesConversationEngine · SalesObjectionEngine · SalesNegotiationEngine · SalesEmotionDetectionService - 03Product Match
Real catalog lookup across your existing stack — Shopify catalog · WooCommerce inventory · Microsoft BC catalog · custom catalog API. Price resolution + quote builder. No mock data.
SalesOfferEngine · EcommerceMatcher · BcPriceResolutionService · BcInventoryService · BcQuoteBuilderService - 04Conversion Flow Engine
Payment-intent detection ("I buy" / "Let's go") → LLM confirm intent → routes to your preferred conversion flow: Stripe Payment Link · Shopify product page · WooCommerce checkout · Microsoft BC invoice · Calendly booking · custom URL. Adapts to your existing sales infrastructure. Hours → seconds.
SalesAutoCloseEngine · ConversionFlowRouterService · EcommerceMatcher - 05Revenue Attribution Loop
Every closed deal feeds Thompson Sampling learning. Sequences, offers, timing self-optimize per outcome.
SalesLearningService · agent_sales_learning_outcomes · agent_deal_attributions · BcInvoiceBackAttribution
From social post → paid invoice.
Most platforms measure engagement. Pyxym measures attributable revenue — down to the invoice generated by a specific post.
- Likes
- Clicks
- Engagement
- Impressions
- CTR
- Followers
No revenue attribution.
No invoice linkage.
No ERP traceability.
→ ends at clicks
- AI production cost
- € 0.12
- Useful reach
- 1,400 finance leaders
- ROI
- +100,000%
“When Sarah presents results to her board, she doesn't show impressions.
She shows which posts generated revenue.”
Three moats. No competitor has all three.
Revenue Attribution multi-touch + Industrial Governance + Brand Voice DNA. Not features. Moats.
Revenue Attribution
Every Euro tracked back to its originating post. Multi-touch attribution from click → identity → CRM → invoice. Native Microsoft Business Central integration.
Industrial Governance
NuclearPolicyEngine · 9 rules · 4 sectoral packs (finance · medical · legal · general). ShadowMode 7-day evaluation. 7-year audit trail. Built for regulated industries.
Brand Voice DNA
Not a brand voice setting. A cognitive signature. 12-step LLM prompt chain + EditorialQuestionBank scoring — every output rated ≥ 0.80 against your DNA before publish.
Enterprise infrastructure. Consumer simplicity.
Behind the scenes: 40+ autonomous tasks, 8 sub-agents, MCP-native API, 7-year audit trail. Daily: a few minutes of oversight. Designed for operators, not engineers.
From signup to autonomous operations
total setup
LinkedIn · X · Microsoft Business Central · HubSpot · Salesforce · Stripe.
OAuth handshake per channel. No code, no API keys to manage. Pick the platforms you already run revenue on.
ICP · revenue targets · tone of voice · sectoral policy pack.
8 short editorial questions generated by the model. No 50-field form. You answer like you would brief a new hire.
8 sub-agents wake up. Signals monitored, intents scored, conversations managed, actions proposed.
Strategist · Editor · Researcher · Risk · Optimizer · Sales · Community · Forecaster. No human in the inner loop.
Daily Briefing read · high-intent handoffs · risk escalations · payment links.
You review what the system flags, not what it can decide. Coffee-and-laptop pace, never DevOps pace.
A day with Pyxym
daily oversight
- 08:00Daily Briefing delivered
Overnight signals digest. New opportunities scored. Pipeline movements. Last-24h revenue attribution.
- 08:052 high-intent opportunities detected
Conversation thread on LinkedIn comment matched ICP · second deal advanced beyond handoff threshold.
- 08:081 conversation escalated for approval
Risk score crossed 75 on a thread tagged "legal". Pyxym paused autonomous reply and asked for human read.
- 08:121 payment link sent automatically
Sales conversation reached agreement on price + terms. Stripe payment link generated, invoice draft posted to Business Central.
- 08:15Operator session complete
15 minutes. Coffee finished. System back to autonomous run for the rest of the day. 40+ background tasks continue 24/7.
Pyxym operates the revenue machine. You supervise the outcomes.
40+ background tasks run autonomously 24/7. The Daily Briefing surfaces what needs human judgment — pipeline approvals, risk escalations, strategic redirections. Everything else is decided, logged, and audited by the system.
Beyond Copilots. Real Autonomous Revenue Operations.
Most AI tools wait for prompts. Pyxym detects intent, starts conversations, handles objections, sends payment links, and tracks attributed revenue — autonomously.
The autonomous brain orchestrating every revenue operation.
Strategic Simulation Engine.
Before execution, Pyxym evaluates parallel strategic paths — revenue probability, policy risk, brand alignment.
Aggressive CTA
- Revenue probability78%
- Policy riskMedium
- Brand alignment0.71
Educational angle
- Revenue probability61%
- Trust scoreHigh
- Brand alignment0.88
Authority positioning
- Revenue probability69%
- Brand alignmentExcellent
- Policy riskLow
Decision logged with full reasoning trace. Available for replay in the Trust Console and the Decision Audit Center.
Glass-Box AI Neurons.
Every autonomous decision · inspectable end-to-end. Prompt · memory · policy · score · execution · attribution.
- 01Context InputChannel · audience · brand pack · sectoral policy bound
- 02Memory RecallPrior posts · winning patterns · CRM context · violations log
- 03Policy EvaluationNuclearPolicyEngine · 9 rules · ShadowMode pre-check
- 04Voice DNA Alignment12-step prompt chain · score ≥ 0.80 enforced
- 05Strategic SimulationBeam search k=3 · Thompson Sampling · utility scoring
- 06Execution DecisionPublisher Service · idempotency keys · multi-channel dispatch
- 07Revenue AttributionPostFingerprint → Identity → CRM → BC Invoice → Ledger
AI agents that can survive enterprise reality.
ShadowMode. Policy enforcement. Violations logging. Built for regulated industries from day one.
Every agent decision evaluated in parallel — but not executed — for up to 7 days. Validation before automation.
7-year audit trail of every policy evaluation. RFC 7807 errors, RGPD-ready exports, compliance team queriable.
9 governance rules across 4 sectoral packs (finance / medical / legal / general). Hot-swappable, audited, versioned.
Real-time governance dashboard for compliance officers. Voice score, policy violations, ShadowMode telemetry, sectoral assignments.
Every autonomous decision passes through 4 governance layers before execution.
Forensic Decision Audit.
Every autonomous action emits a forensic trail. Replayable. Queryable. Cryptographically signed. 7-year retention.
- 09:02Memory recalledPrior LinkedIn winners · 6 patterns matched · CRM context loaded
- 09:02Policy evaluation passed0 violationsNuclearPolicyEngine · 9 rules · finance sectoral pack
- 09:03Voice DNA score · 0.91≥ 0.80 threshold cleared12-step prompt chain · EditorialQuestionBank validated
- 09:03Scenario simulation completedUtility 0.84Beam search k=3 evaluated · authority positioning selected
- 09:04Post publishedpost_id 9421Publisher Service · idempotency key issued · LinkedIn channel
- 11:42Lead identifiedcontact_id 7842PostFingerprintService · click attributed · IdentityResolution matched
- 13:01Revenue attributed€ 1,240BcInvoiceBackAttribution · Microsoft BC invoice line linked
Operational Control Surfaces.
Every autonomous system still needs human oversight. Pyxym exposes every operational layer — revenue, governance, orchestration, attribution, learning, and execution. Click any surface for engineering specs.
15 operational surfaces — explorable, queryable, auditable. Not a feature catalog. A control system.
The full blueprint. Service by service.
From the moment you click « onboard » to the moment a Euro lands in your bank account — every node, every edge, every governance checkpoint. Five lanes, 22 services, zero black boxes.
Drag, scroll to zoom, or use the controls below-left.
The first social AI platform you can talk to from your IDE.
Claude Desktop. Cursor. Windsurf. VSCode. Pyxym ships with a public MCP endpoint and production-grade SDKs.
Talk to it. From your IDE.
12 native AI clients supported out-of-the-box. The first social SaaS with a public, production-grade MCP endpoint.
- Claude Desktop
- ChatGPT Dev Mode
- Cursor IDE
- Claude Code
- Windsurf
- VSCode Copilot
- JetBrains AI
- Gemini CLI
- Mistral Le Chat
- Cline
- Zed
- Continue.dev
“Pyxym, generate 3 LinkedIn drafts for our finance product launch this week. Score them against our brand DNA, then schedule the best one for Thursday 10:00 CET.”
- posts_generate
- voice_dna_score
- policy_evaluate
- posts_schedule
“Pyxym, show me revenue attributed to social media last week. Break it down by channel and CRM stage. Highlight any deals attributed back to a post.”
- revenue_ledger_query
- identity_graph_resolve
- crm_pipeline_breakdown
“Open the violations log for agent agt_acme_strategist. Filter by finance policy pack. Last 7 days. Export to JSON.”
- violations_search
- policy_pack_resolve
- audit_trail_export
Production-grade SDKs. Public MCP endpoint.
Three first-party SDKs. One MCP server. 258 documented endpoints. Build on top of Pyxym from day one — same primitives as Stripe and OpenAI use.
100% of pyxym.ad runs on this exact public API.
Landing CMS, onboarding wizard, agent dashboard, MCP server, revenue ledger, governance console — every page you can see consumes the same endpoints documented below. If it works for us, it works for you. Streaming SSE, native.
import { Pyxym } from '@pyxym/sdk';
const pyxym = new Pyxym({
apiKey: process.env.PYXYM_API_KEY,
});
// Generate a brand-voice-scored post, streamed
const stream = await pyxym.posts.generateStream({
agentId: 'agt_acme_strategist',
channel: 'linkedin',
policy: 'finance',
});
for await (const token of stream) {
process.stdout.write(token.delta);
}- OpenAPI 3.0 spec · 258 endpoints documented
- Bearer ApiKey · idempotency keys Stripe-pattern
- RFC 7807 error envelopes · cursor pagination · ETags
- Native streaming SSE · sandbox isolation pyx_test_*
- Idempotency-Key headersStripe
- RFC 7807 error envelopesIETF standard
- Cursor paginationStripe / GitHub
- Bearer ApiKey authOpenAI / Anthropic
- Streaming SSE nativeOpenAI
If you have already integrated Stripe or OpenAI, you already know how to integrate Pyxym.
Plugs into your stack. Today.
27 live integrations — 20 backend connectors (CRM · e-commerce · productivity · analytics · communication · social) and 7 native publishing channels. Find yours below.
- Dynamics 365 BC
- HubSpot
- Salesforce
- Pipedrive
- Shopify
- Stripe
- Medusa
- WooCommerce
- BigCommerce
- Magento
- Gmail
- Google Drive
- Notion
- WordPress
- Slack
- Discord
- Google Analytics
- Search Console
- Bluesky
- Mastodon
- X
- TikTok
- YouTube
- YouTube Shorts
Don't see yours? Ask us for a connector — 16+ already in active development pipeline.
Every Capability. Every Competitor.
25 production-grade capabilities benchmarked against 7 competitors — including NoimosAI, the closest conceptual peer. No marketing fluff. Feature by feature, what actually ships.
| Capability | PYXYM | NoimosAI | Hootsuite | Sprout Social | Agentforce | HubSpot | Jasper | Claude Cowork |
|---|---|---|---|---|---|---|---|---|
| Native multi-platform scheduling | ||||||||
| AI content generation | ||||||||
| Brand Voice DNA versioning | ||||||||
| Real multi-agent agentic core | ||||||||
| Auto-learning per sub-agent | ||||||||
| Closed Decision Loop (neural hooks) | ||||||||
| Bayesian feedback self-recalibration | ||||||||
| Level 5 autonomous (no human required) | ||||||||
| Multi-touch Revenue Attribution | ||||||||
| Microsoft Business Central native | ||||||||
| Multi-tenant workspaces | ||||||||
| Sandbox isolation testing | ||||||||
| Immutable audit trail | ||||||||
| ShadowMode pre-production | ||||||||
| Sectoral policy engine | ||||||||
| Public versioned REST API | ||||||||
| Official TS + Python + Go SDKs | ||||||||
| HMAC signed webhooks | ||||||||
| SSE token-by-token streaming | ||||||||
| Native GDPR endpoints | ||||||||
| Developer console UI | ||||||||
| MIT SDKs (planned) | N/A | |||||||
| MCP-Native cross-client | ||||||||
| 20+ Live ERP / CRM / E-com connectors | ||||||||
| Identity Graph cross-platform |
Pilot programs in production.
Early operator deployment patterns across regulated sectors. Anonymous by design — replace with named case studies when pilots authorize disclosure.
- FinTechLive
Voice DNA enforcement + multi-touch revenue attribution from LinkedIn posts to invoiced opportunities.
ObservedRevenue attributed live in production€ 48,920 · 90d window - Regulated SaaSLive
ShadowMode 7-day pre-production validation across all autonomous agent decisions before live deployment.
ObservedCompliance officer sign-off · day one0 violations · 1,242 evals - HealthcareLive
Brand integrity enforcement at generation time via Voice DNA scoring; sectoral policy pack (medical) blocking AI-slop pre-publish.
ObservedAI-slop caught before shipVoice DNA ≥ 0.80 enforced - RetailLive
Native Microsoft Business Central integration · post-to-invoice attribution loop across 7 native channels.
ObservedFinance team trusts the numbersBC Invoice attribution live
4 pilot programs running · anonymized by design until partners authorize named disclosure.
Native integrations
Plugs into the platforms your operators already trust.
- Microsoft
- Salesforce
- HubSpot
- Stripe
- Shopify
- Slack
- GitHub
- Notion
- Anthropic
- OpenAI
- WordPress
FAQPyxym Nuclear
Questions, answered.
Everything you need to know about deploying autonomous social media agents in production.
Three things Agentforce doesn't have:
- Revenue Attribution multi-touch — Pyxym connects every published post to actual revenue via 17 services and Microsoft Business Central native integration. Agentforce stops at engagement metrics.
- NuclearPolicyEngine — autonomous agents with 9 rules, 4 sectoral policy packs (finance/healthcare/legal/general), ShadowMode validation. Agentforce has no equivalent.
- MCP-Native — pilot Pyxym from Claude Desktop, Cursor, Windsurf. Agentforce is a closed ecosystem.
Every social post passes through our 17-service attribution pipeline: post identifier → click tracking → visitor identity graph → contact resolution → opportunity match → invoice attribution.
For B2B with Microsoft Business Central, the BcInvoiceBackAttributionService closes the loop end-to-end. For other CRMs (HubSpot, Salesforce, Pipedrive), we map via webhooks + identity stitching. Result: you see "this LinkedIn post generated €4,200 in invoices last month" — not "5,000 impressions."
Native connectors at GA:
- CRM: HubSpot, Salesforce, Pipedrive
- E-commerce: Shopify, Stripe
- ERP: Microsoft Business Central native (the only social tool with this)
- Social: LinkedIn, X, Instagram, Facebook, TikTok, YouTube
Plus the MCP protocol exposes 38 tools, 8 resources, 5 prompts for any compatible AI client.
Model Context Protocol (MCP) is the emerging standard for connecting AI assistants to external tools. Pyxym Nuclear is the first social media SaaS with a public MCP endpoint.
Concretely: you talk to Claude Desktop, Cursor, Windsurf — and Pyxym does the work. Generate posts, schedule, check analytics, approve drafts. No more switching tabs. The future of AI tooling is natively addressable, and we built it first.
Four sectoral policy packs ship with the platform:
- Finance — KYC, AML claims, no investment advice without disclaimer
- Healthcare — HIPAA, no PHI disclosure, FDA-compliant claims
- Legal — no unauthorized practice of law, jurisdiction handling
- General — GDPR, trademark, content authenticity
Every agent action passes through 9 rules. Violations logged via ViolationsService with full audit trail. ShadowMode lets you validate behavior before any post goes live.
The Brand Voice DNA system is built on a 12-step LLM prompt chain backed by EditorialQuestionBank — a structured set of questions that extract your tone, vocabulary, sentence rhythm, taboo topics, and signature phrases.
Every output is then scored against this voice profile. The system rejects drafts that drift beyond your configured tolerance. This is the anti AI-slop moat: your content stops sounding like ChatGPT.
Yes. Multi-tenant architecture with strict workspace isolation, RGPD endpoints (data export + erasure + portability), idempotency keys (Stripe-pattern), cursor pagination, RFC 7807 errors, ownership checks throughout.
The General policy pack enforces GDPR compliance at the agent level — every action is checked against data processing rules before execution.
15 days full access, no credit card required:
- All 188 features unlocked
- 10 team seats included
- Multi-model AI support (OpenAI, Azure, Perplexity, OpenRouter)
- MCP endpoint access (38 tools)
- Brand Voice DNA configuration
- NuclearPolicyEngine + ShadowMode
- Revenue Attribution dashboard
Yes — and 12+ other native AI clients via MCP protocol. Public MCP endpoint with Bearer ApiKey authentication. Cross-client compatibility validated empirically (Claude Desktop, Cursor, Windsurf, ChatGPT Developer Mode, VS Code Copilot Agent Mode, JetBrains, Gemini CLI, Mistral Le Chat, Claude Code, Cline, Zed Continue, and more).
Yes — ShadowMode runs the full agent decision-making path without publishing. You see what the agent would do (post, schedule, response, escalation) but no external side effects.
Use it to: validate policy pack tuning, calibrate Brand Voice DNA thresholds, train your team on agent behavior, run compliance reviews before regulated deployments. Switch to production with a single toggle when ready.
Different category. Those tools are schedule-and-publish — built for the manual content era. Pyxym Nuclear is an autonomous revenue platform — agents that generate, validate, publish, attribute, and learn.
- Hootsuite/Sprout/Buffer: human-in-the-loop, engagement metrics
- Pyxym Nuclear: agent-driven, revenue metrics, MCP-accessible
The transition is similar to the shift from manual deploys to CI/CD — same problem space, different abstraction level.
Configuration takes 30 minutes (connect CRM + ERP + social channels). Attribution starts immediately on new posts. For backfill of historical data, the pipeline ingests 90 days of past activity in ~2-4 hours depending on volume.
You'll see your first "post → invoice" trace within 24-48 hours of going live, assuming a typical B2B sales cycle.
Deploy your autonomous revenue infrastructure.
Pyxym deploys through engineering pilot programs. Limited slots for regulated industries and operators running serious attribution stacks.