# Moniepoint — API Agent Score

> Score: 63/100 (Grade: C) | Domain: moniepoint.com | Rubric: 1.0.0 | Checked: July 30, 2026

Moniepoint scored 63/100 (C), classified "partially-ready".

[View full report](https://www.postman.com/ai/ai-ready-apis/company/moniepoint)
[All organizations](https://www.postman.com/ai/ai-ready-apis/llms.txt)

## Summary

- Overall: 63/100 (C)
- Classification: partially-ready

## Category Scores

- API Design: 92/100 (A+)
- Developer Experience: 66/100 (C)
- Agent Discovery: 55/100 (D)
- Agent Understanding: 66/100 (C)
- Agent Usability: 48/100 (F)

## Check Results

### API Design

- [pass] Auth declared & discoverable — authentication documented in the docs site at https://developers.monnify.com/docs/collections/quickstart. Investigated: spec 100%, docs 100%.
- [warn] Schema coverage & depth — 4 of 106 public signatures use loose types (anyTypeRatio=0.038). Investigated: sdk 89%, spec 75%.
- [warn] Machine-readable, versioned contract — info.version="1.0" set but no versioning scheme (URL / header / media type) detected. Investigated: spec 75%, docs 50%.
- [pass] Security & governance hygiene — No credential-shaped strings detected in spec. Investigated: spec 100%, wellknown 0%.
- [pass] Example coverage — 0% example coverage. Investigated: spec 100%, sdk 100%, docs 0%.

### Developer Experience

- [pass] Self-service developer portal — Self-service signup at https://moniepoint.com/ng/digital-banking; no free tier or sandbox language detected. Investigated: docs 100%.
- [pass] Description completeness — 84% description completeness (target 90%+). Investigated: spec 100%, sdk 3%.
- [pass] Changelog published — Newest official SDK activity 21 day(s) ago. Investigated: sdk 100%, spec 0%, docs 0%.
- [fail] Quickstart present — No quickstart/getting-started page found at the conventional paths. Investigated: docs 0%.
- [fail] Code samples in docs — No detectable code samples across 2 sampled docs pages. Investigated: docs 0%.

### Agent Discovery

- [warn] Registry & SDK presence — No MCP server, tool manifest, or list-tools capability is discoverable (server entrypoint: absent, tool manifest: unknown, list-tools: unknown). Investigated: sdk 58%, docs 0%, cli 0%.
- [pass] Crawlable / AEO — Docs paths crawlable by all monitored AI agents. Investigated: wellknown 100%.
- [fail] llms.txt present, valid & comprehensive — No /llms-full.txt found at the candidate origins. Investigated: docs 0%, sdk 0%.
- [skip] Docs reachable, not hard auth-gated — No surface produced evidence for this capability in this run.

### Agent Understanding

- [pass] Machine-readable errors (RFC 9457) — 5 distinct 4xx/5xx response codes documented. Investigated: docs 100%, spec 50%, sdk 50%.
- [warn] Operation purpose clarity — 0% of operations are agent-inferable. Investigated: spec 50%.
- [fail] Agent instructions file (AGENTS.md) — No AGENTS.md at the site root or /.well-known/. Investigated: wellknown 0%.
- [fail] Docs structured data — Neither JSON-LD nor OpenGraph/meta tags detected across 1 assessed pages (1 JS-rendered). Investigated: docs 0%.
- [skip] Agent-navigable, token-efficient docs — No surface produced evidence for this capability in this run.
- [skip] Description consistency across surfaces — Only 1 surface description(s) with ≥6 tokens available; need at least 2 to compare.

### Agent Usability

- [pass] Sandbox separation — Sandbox server (https://sandbox.monnify.com) declared in spec with distinguishable test credentials. Investigated: spec 100%, docs 100%, sdk 100%.
- [fail] Idempotency documented — 0% of mutating operations document idempotency. Investigated: spec 0%, docs 0%, sdk 0%.
- [fail] Rate-limit signaling — No rate-limit response headers documented. Investigated: spec 0%, docs 0%.
- [fail] Runnable collection with test scripts — No public Postman workspace discovered for the org. Investigated: platform 0%.
- [skip] Pagination documented & consistent — No surface produced evidence for this capability in this run.

## Executive Summary

Moniepoint's API program stands out for its strong machine-readable contract and schema quality, giving partners a solid technical foundation to build on. However, the program has critical gaps in agent discoverability and operational reliability: AI agents and automated tooling cannot find, parse, or safely integrate with the APIs without manual intervention, and missing idempotency and rate-limit guidance puts partner integrations at risk in production. Prioritizing an agent-ready documentation layer and executable, reliability-documented collections will unlock self-serve partner onboarding and confident AI-driven integration.