Backstory

Backstory (formerly People.ai, rebranded April 2026) is an AI revenue intelligence platform for sales leaders, CROs, and revenue teams. It automatically captures customer interactions across email, meetings, calls, chat, and CRM records, maps that activity to open deals, and reconstructs what is actually happening inside a deal or account — flagging which deals are losing momentum, where decision-makers are missing, whether a forecast is defensible, and the recommended next step. It integrates with Salesforce, Microsoft Dynamics, Oracle, Gmail, Outlook, Zoom, Teams, Webex, and Slack without requiring reps to change their workflow. Backstory's public developer surface is agent-native rather than REST: it operates a hosted, remote MCP server at https://mcp.people.ai/mcp with thirteen documented tools, protected by OAuth 2.0 with PKCE and dynamic client registration, and documented for Claude, ChatGPT, Microsoft Copilot, Gemini CLI and n8n. A separate REST API exists but is documented only as admin-panel API key management, with no published reference or specification. Backstory is backed by ICONIQ Capital, Andreessen Horowitz, and Lightspeed Venture Partners.

Backstory is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Revenue Intelligence, Sales, and CRM.

Backstory’s developer surface includes engineering blog, pricing, support, documentation, getting-started guide, changelog, authentication, and 25 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

36.6/100 thin ▬ flat Agent 34/100 agent ready Front door AI 6/6 dominant Heartbeat 48/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API 1 MCP Servers 3 Agent Skills

Company Artificial Intelligence Revenue Intelligence Sales CRM Sales Analytics Forecasting Revenue Operations MCP AI Agents

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 36.6/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 7.2 / 17

Access Clarity 9.2 / 17

Operational Transparency 3.8 / 11

Contract Governance 1.9 / 10

Discoverability 6.4 / 9

Regulatory Posture 5.5 / 15

Agent readiness — 34/100 · agent ready

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks

5 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 42.3 — up to +11.5 composite points
Contract Governance scores 18.2 — up to +9.8 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/backstory/apis.yml: open an issue on github.com/api-evangelist/backstory to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 3

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Backstory MCP

Backstory's hosted, remote Model Context Protocol server. It lets an AI client query a customer's own Backstory revenue-intelligence data — accounts, opportunities, recent activ...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Backstory MCP

Backstory MCP is the provider's hosted, remote Model Context Protocol server. It lets AI clients (Claude, ChatGPT, Microsoft Copilot, Google Gemini CLI, n8n AI Agent nodes, or a...

MCP SERVER

Agent Skills 3

Packaged agent skills for driving this provider's APIs from an AI assistant.

Brief me on an account before a call

AGENT SKILL

Review a deal for risk and qualification

AGENT SKILL

Find how we handled this situation before

AGENT SKILL

Backstory API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Backstory Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Backstory Rate Limits

0 limits

RATE LIMITS

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Backstory Authentication

oauth2/apiKey/http · 4 schemes

SECURITY

Backstory Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Backstory Trust Center

SOC 2, ISO 27001, ISO 27017, GDPR, CSA STAR

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Backstory Scopes

1 scope · authorizationCode

1 scopes

SCOPES

Resources

Get Started 2

Portal, sign-up, and the first successful call

Login

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 5

MCP servers, agent skills, and machine-readable catalogs

MCPServer

AgentSkill

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Lifecycle

Conventions

ErrorCatalog

Conformance

Components

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

Access & Security 5

Authentication, authorization, and security posture

TrustCenter

Compliance

Authentication

OAuthScopes

DomainSecurity

Operate 6

Status, limits, changes, and where to get help

Support

HelpCenter

StatusPage

ChangeLog

ChangeLog

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

PrivacyPolicy

TermsOfService

Pricing

Plans

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: backstory
name: Backstory
description: 'Backstory (formerly People.ai, rebranded April 2026) is an AI revenue intelligence platform for sales leaders,
  CROs, and revenue teams. It automatically captures customer interactions across email, meetings, calls, chat, and CRM records,
  maps that activity to open deals, and reconstructs what is actually happening inside a deal or account — flagging which
  deals are losing momentum, where decision-makers are missing, whether a forecast is defensible, and the recommended next
  step. It integrates with Salesforce, Microsoft Dynamics, Oracle, Gmail, Outlook, Zoom, Teams, Webex, and Slack without requiring
  reps to change their workflow. Backstory''s public developer surface is agent-native rather than REST: it operates a hosted,
  remote MCP server at https://mcp.people.ai/mcp with thirteen documented tools, protected by OAuth 2.0 with PKCE and dynamic
  client registration, and documented for Claude, ChatGPT, Microsoft Copilot, Gemini CLI and n8n. A separate REST API exists
  but is documented only as admin-panel API key management, with no published reference or specification. Backstory is backed
  by ICONIQ Capital, Andreessen Horowitz, and Lightspeed Venture Partners.'
url: https://raw.githubusercontent.com/api-evangelist/backstory/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- iconiq-capital
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - scopes
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-14'
image: https://cdn.prod.website-files.com/69aab19e3344fee750b8721c/69bc218831a2d8ce7c69e9da_ab2eb85cd7fb357375e2a489f3bb519f_Backstory_OG.jpg
tags:
- Company
- Artificial Intelligence
- Revenue Intelligence
- Sales
- CRM
- Sales Analytics
- Forecasting
- Revenue Operations
- MCP
- AI Agents
tags_raw:
- Company
- Ai
- Revenue Intelligence
- Sales
- CRM
- Sales Analytics
- Forecasting
- Revenue Operations
- MCP
- AI Agents
apis:
- name: Backstory MCP
  description: 'Backstory''s hosted, remote Model Context Protocol server. It lets an AI client query a customer''s own Backstory
    revenue-intelligence data — accounts, opportunities, recent activity, engaged people, scorecards, company news, and SalesAI
    analysis — in natural language. Thirteen tools are published across four families: finding accounts and opportunities,
    strategic summaries, activity and engagement review, and advanced sales analysis (including a beta Situation Search that
    returns historically similar deals with the actions taken and the outcome). Authorization is OAuth 2.0 authorization_code
    with PKCE and dynamic client registration; a connected client inherits exactly the record permissions the authenticating
    user already has in Backstory Engagement Dashboards and gains nothing more.'
  humanURL: https://www.backstory.ai/platform/mcp
  baseURL: https://mcp.people.ai/mcp
  tags:
  - MCP
  - AI Agents
  - Revenue Intelligence
  - CRM
  properties:
  - type: MCPServer
    url: mcp/backstory-mcp.yml
  - type: Documentation
    url: https://help.backstory.ai/en/articles/15252736-backstory-mcp
  - type: GettingStarted
    url: https://help.backstory.ai/en/collections/19658946-mcp
  - type: Authentication
    url: authentication/backstory-authentication.yml
  - type: OAuthScopes
    url: scopes/backstory-scopes.yml
  - type: ErrorCatalog
    url: errors/backstory-problem-types.yml
  - type: Conventions
    url: conventions/backstory-conventions.yml
  - type: RateLimits
    url: rate-limits/backstory-rate-limits.yml
  - type: AgentSkill
    url: skills/_index.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.backstory.ai/
- type: Blog
  url: https://www.backstory.ai/newsroom
- type: Login
  url: https://app.people.ai/login/
- type: PrivacyPolicy
  url: https://www.backstory.ai/privacy
- type: TermsOfService
  url: https://www.backstory.ai/terms
- type: Pricing
  url: https://www.backstory.ai/pricing
- type: Support
  url: mailto:support@backstory.ai
- type: HelpCenter
  url: https://help.backstory.ai/en/
- type: Documentation
  url: https://help.backstory.ai/en/
- type: GettingStarted
  url: https://help.backstory.ai/en/collections/19646748-get-started
- type: GitHubOrganization
  url: https://github.com/people-ai
- type: TrustCenter
  url: https://www.backstory.ai/platform/trust-security
- type: Compliance
  url: https://www.backstory.ai/platform/trust-security
- type: StatusPage
  url: https://status.backstory.ai/
- type: ChangeLog
  url: https://help.backstory.ai/en/articles/15252920-new-product-releases
- type: ChangeLog
  url: changelog/backstory-changelog.yml
- type: Lifecycle
  url: lifecycle/backstory-lifecycle.yml
- type: MCPServer
  url: mcp/backstory-mcp.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Authentication
  url: authentication/backstory-authentication.yml
- type: OAuthScopes
  url: scopes/backstory-scopes.yml
- type: Conventions
  url: conventions/backstory-conventions.yml
- type: ErrorCatalog
  url: errors/backstory-problem-types.yml
- type: Conformance
  url: conformance/backstory-conformance.yml
- type: WellKnown
  url: well-known/backstory-well-known.yml
- type: Packages
  url: packages/backstory-packages.yml
- type: Components
  url: components/backstory-components.yml
- type: Plans
  url: plans/backstory-plans-pricing.yml
- type: RateLimits
  url: rate-limits/backstory-rate-limits.yml
- type: LLMsTxt
  url: llms/backstory-llms.txt
- type: LLMsTxt
  url: llms/backstory-help-llms.txt
- type: DomainSecurity
  url: security/backstory-domain-security.yml
x-enrichment:
  date: '2026-08-14'
  status: enriched
  artifacts_added: 15
  pass: local-v1

Backstory API — frequently asked questions

Does Backstory have an API?

Yes. APIs.io lists 1 API from Backstory, including Backstory MCP.

How do I authenticate with the Backstory API?

Backstory documents its authentication (oauth2/apiKey/http · 4 schemes). The details are profiled on APIs.io as Backstory Authentication.

Does Backstory have an MCP server?

Yes. APIs.io lists 1 MCP server for Backstory: Backstory MCP is the provider's hosted, remote Model Context Protocol server. It lets AI clients (Claude, ChatGPT, Microsoft Copilot, Google Gemini CLI, n8n AI Agent nodes, or any custom MCP client) q

Is the Backstory API ready for AI agents?

Backstory has a Kin Score of 36.6 out of 100 (thin) and an Agent Readiness score of 33.6 (agent-ready), scored by API Evangelist on 2026-11-06.

Work with this as data

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MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

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