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PYRAMYD

APEX · The 21 specialist agents

Every agent named. Every tool counted. Every sample real.

When we say “21 specialist agents with ~165 graph-grounded tools,” this is the registry. Each agent has a documented intent, a tool count, a sample input, a sample output, and a median latency. No marketing-copy “agents.”

21 specialist agents166 graph-grounded tools5 cohort domainsMCP-native delivery

Competitive Intelligence · 7 agents

Competitive Intelligence

Agent 01

Battlecards Agent

12 tools3.8s median

Intent: Compose, refresh, or compare a battlecard between two products, companies, or categories.

Sample input

Refresh the Salesforce vs HubSpot battlecard with this week's releases and pricing changes.

Sample output

Updated card · 14 citations · 4 new sources since last refresh · 2 pricing diffs flagged.

Top tools:

getVendorlistReleasesgetPricingDiffgetReviewSentimentcomposeBattlecard

Agent 02

Win/Loss Agent

8 tools2.1s median

Intent: Aggregate closed-won and closed-lost opportunities, identify the competitor that took the deal, and summarize the pattern.

Sample input

What competitors did we lose to in CRM deals last quarter?

Sample output

12 losses · top loser: Salesforce (5), HubSpot (3), Pipedrive (2). Primary stated reason: 'native integration breadth'.

Top tools:

getOpportunitiesresolveCompetitoraggregateLossReasonsrankCompetitors

Agent 03

Competitive Diffs Agent

9 tools1.6s median

Intent: Surface what changed on a competitor's website, pricing page, product, or comms in a given window.

Sample input

What changed on Klue's pricing page in the last 30 days?

Sample output

1 net pricing change · Pro tier added at $35/seat/mo · Enterprise CTA replaced 'Contact Sales' with 'Book a Call' · screenshot diff attached.

Top tools:

getWebsiteDiffgetPricingHistorydiffPagescaptureScreenshot

Agent 04

Talent Signals Agent

6 tools1.9s median

Intent: Detect hiring patterns, key-departure signals, and exec moves at competitor companies.

Sample input

Has Crayon hired any forward-deployed engineers this quarter?

Sample output

Yes · 4 FDE roles posted, 2 filled per LinkedIn signals. Hiring concentrated in NYC and Toronto.

Top tools:

getHiringPostsresolveRoletrackExecMovesrankHiringIntensity

Agent 05

Pricing Tracking Agent

7 tools1.4s median

Intent: Monitor competitor pricing pages, plan structures, and per-seat economics over time.

Sample input

How has Productboard's pricing changed in the last 6 months?

Sample output

2 plan additions, 1 plan deprecated. Maker → Scale tier consolidation. Per-seat list price up 14% on Enterprise.

Top tools:

getPricingHistorydiffPricingPagescomputePerSeatTrendextractPlanFeatures

Agent 06

Releases Agent

8 tools2.4s median

Intent: Read changelogs, release notes, and press to identify net-new features shipped by competitors.

Sample input

What features has Gong shipped in Q1 2026?

Sample output

11 features across 4 themes: AI Deal Score (Jan), Forecast Inspector v2 (Feb), Engagement Genome (Mar), Apple Intelligence integration (Mar).

Top tools:

getChangelogsextractFeaturestagFeatureThemesrankByImpact

Agent 07

Personas Agent

5 tools1.7s median

Intent: Resolve the persona a competitor is targeting from their copy, content, and pricing structure.

Sample input

Who is Apollo's primary persona based on their site and pricing?

Sample output

Outbound SDR at 50-500 seat B2B SaaS company. Secondary: RevOps at 500+ seat. Tertiary: VP Sales.

Top tools:

extractPersonaFromCopyresolvePricingPersonarankPersonasmatchToICP

RFX & Proposals · 4 agents

RFX & Proposals

Agent 08

RFX Draft Agent

11 tools5.6s median

Intent: Draft answers to RFP questions using approved-answer library + graph-grounded fresh facts.

Sample input

Draft answer to: 'Describe your SOC 2 compliance posture and audit cadence.'

Sample output

240-word draft · 4 citations to approved-answer library + 2 to compliance graph nodes · confidence 92%.

Top tools:

findApprovedAnswergetComplianceNodecomposeAnswerscoreConfidencelogForReview

Agent 09

Approved-Answer Library Agent

6 tools1.2s median

Intent: Search, retrieve, version, and propose updates to the canonical approved-answer library.

Sample input

Has anything in our approved-answer library gotten stale in the last 90 days?

Sample output

14 answers flagged · 6 reference deprecated pricing, 4 reference superseded product names, 4 cite expired certs.

Top tools:

listLibraryEntriescheckFreshnessdiffAgainstGraphproposeUpdate

Agent 10

Proposal Compose Agent

9 tools18s median

Intent: Assemble a full proposal from question decomposition + draft answers + branding + cover letter.

Sample input

Compose a proposal response for the State of California EDD RFP.

Sample output

Full DOCX · 42 questions answered · 187 citations · cover letter + exec summary · ready for review.

Top tools:

decomposeQuestionsdraftAnswerscomposeCoverLetterapplyBrandingexportDOCX

Agent 11

Question Decomposition Agent

5 tools9.4s median

Intent: Parse an inbound RFP / RFI / security questionnaire into a structured list of answerable questions.

Sample input

Decompose this 78-page security questionnaire PDF.

Sample output

412 questions extracted · 387 mapped to approved-answer library · 25 routed to human review · time-to-respond estimate: 4 hours.

Top tools:

parsePDFextractQuestionscategorizeIntentmapToLibrary

Product · 3 agents

Product

Agent 12

Roadmap Agent

8 tools3.2s median

Intent: Reason about your roadmap commits against market signal, competitive moves, and customer feedback.

Sample input

Which of our Q3 roadmap items overlaps with what competitors shipped this quarter?

Sample output

3 of 12 commits at risk: Battlecard refresh cadence (Klue), AI deal score (Gong), category benchmarking (Crayon). Recommend reprioritizing.

Top tools:

getRoadmapmatchAgainstReleasesrankOverlapRisksummarizeFindings

Agent 13

Feature Gap Analysis Agent

7 tools2.7s median

Intent: Compare your product's feature matrix to competitors and identify net-new vs me-too vs missing capabilities.

Sample input

Where is HubSpot ahead of us on RevOps capabilities?

Sample output

5 capabilities: Sequence orchestration, Lead scoring v3, Forecast attribution, Snowflake-native sync, Custom report builder.

Top tools:

getCapabilitiescompareMatricesscoreGapcategorizeBy

Agent 14

Capability Mapping Agent

6 tools2.0s median

Intent: Maintain the canonical capability map for your category · what features map to what capability, across vendors.

Sample input

Add 'AI Deal Score' as a capability under Revenue Intelligence and find which vendors ship it.

Sample output

Capability added · 7 vendors mapped (Gong, Clari, MEDDIC, BoostUp, Aviso, Salesloft, ZoomInfo). Pricing tier varies.

Top tools:

addCapabilitysearchVendorsByFeaturetagCapabilitylinkToProduct

GTM · 6 agents

GTM

Agent 15

Account Plan Agent

10 tools12s median

Intent: Generate or refresh an account plan from CRM signal + product graph + persona model.

Sample input

Draft an account plan for State Farm.

Sample output

12-page plan · ICP score 87/100 · 4 buying-committee personas · current stack inferred · 3 wedge plays prioritized.

Top tools:

getCRMAccountinferStackbuildBuyingCommitteerankWedgePlayscomposePlan

Agent 16

ICP Builder Agent

7 tools4.1s median

Intent: Construct or refine an Ideal Customer Profile from current closed-won data + market signal.

Sample input

Build an ICP from our last 50 closed-won deals.

Sample output

ICP: B2B SaaS, $50-200M ARR, 250-1000 employees, has CRM + RFP + CI tools. Match score against current pipeline: 38%.

Top tools:

getClosedWonAccountsextractCommonalitiesscoreFitToPipelinerankFeatures

Agent 17

Segment Discovery Agent

6 tools2.9s median

Intent: Identify net-new buyer segments emerging in your category from signal patterns.

Sample input

What new buyer segments are emerging in CI tools?

Sample output

3 emerging segments: 'Embedded CI for PMM' (12 hiring posts), 'Agentic CI for sales' (8 startups), 'Open-source CI' (3 OSS projects with traction).

Top tools:

scanSignalClustersdetectEmergingTopicsrankByVelocitysummarizeSegments

Agent 18

Reviews Analytics Agent

8 tools2.5s median

Intent: Aggregate, theme-extract, and sentiment-score reviews across G2, TrustRadius, GetApp, etc. for any vendor.

Sample input

What are the top complaints about Productboard from the last 90 days?

Sample output

3 themes: 'pricing tier confusion' (38% of negative), 'integration breakage with Jira' (24%), 'slow performance at scale' (19%). 247 reviews analyzed.

Top tools:

getReviewsextractThemesscoreSentimentrankComplaints

Agent 19

Deal Tip Agent

9 tools3.4s median

Intent: Generate a per-opportunity tip for an AE based on graph signal + competitor presence + prior win/loss patterns.

Sample input

Tip for the State Farm opportunity?

Sample output

Competitor present: Klue (LinkedIn signal · 3 contacts mention). Wedge: PYRAMYD ships graph-grounded battlecards Klue doesn't. Recommend leading with provenance demo.

Top tools:

getOpportunitydetectCompetitorPresencematchToWinPatterncomposeTip

Agent 20

Customer Discovery Agent

7 tools22s median

Intent: Run AI-Interview style discovery against a category of customers, extract themes, generate research artifacts.

Sample input

Run discovery on 'CRM users who also use a separate CI tool'.

Sample output

32 simulated customer interviews · 6 themes · 4 actionable insights · 1 hypothesis ready to validate with real customers.

Top tools:

runSyntheticInterviewextractThemesrankInsightscomposeReport

Platform · 1 agent

Platform

Agent 21

Schema Admin Agent

12 tools5.8s median

Intent: Maintain the 88 universal node types, custom field additions, permission model, and audit log on behalf of admins.

Sample input

Add a 'ESG Score' field to the Vendor node, sourced from MSCI.

Sample output

Schema updated · field added with type Number(0-100) · MSCI connector wired · 2,847 vendor rows back-filled · audit entry logged.

Top tools:

addFieldwireConnectorbackfillRowsvalidateSchemalogAuditEntry

Watch APEX route your question to the right specialist.

30 minutes. Bring a real question. We'll show the supervisor classifying intent, the specialist running, the multi-hop traversal, and the citation chain.